Model notes
Back to blogDeciding which AI model to use.
A benchmark score helps, but I also want to know what each task costs and how long it takes.
Model names and token prices do not tell me what a finished task will cost. I compare benchmark score with cost and time per task, then test the strongest candidates on my own work.
Choose Artificial Analysis Index for general capability, Terminal-Bench for terminal tasks, or DeepSWE for long-horizon software engineering. Each benchmark has its own scores, costs, and resource measurements.
DeepSWE publishes token usage, agent duration, agent steps, and peak context for each run. That lets me keep its results fixed, reprice them with current token costs, and compare task duration.
How to read the chart
Height is the benchmark score. The floor plots cost against time for Artificial Analysis Index and Terminal-Bench, and cost against agent steps for DeepSWE and CursorBench. Drag the chart or use its camera presets to inspect the points from another angle.
Icons and colors identify providers. Dashed lines connect effort settings from the same model family. Use the provider filters to narrow the comparison and the 3D Pareto switch to fade dominated options.
Intelligence Index v4.3.2 measures general model capability. The chart shows 141 priced options with current cost and timing data. The score table includes all 670 published scores and marks estimates separately.
Data checked September 28, 2026
Cost, time, and intelligence in 3D
Cost runs left to right, task time recedes into depth, and the Artificial Analysis Intelligence Index v4.3.2 rises vertically. Dashed lines join effort levels from the same model family.
Drag the plot background to rotate · focus a model to use arrow keys
Minimum % of top score
All scores · Top score 57.6 · 141 models shown
Providers All 21
21 providers · Model counts reflect the score filter.
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30 non-dominated options remain. No other option matches or improves all three measures with at least one strict improvement.
Claude Opus 5.5 (max with fallback)
Cost $5.98
Time per task 13.3 min
Score 57.6
All 670 Artificial Analysis Index scores
Includes models without the cost or timing data needed for the 3D chart. Zero is a published score, not a missing value. Estimated scores are marked separately and excluded from the chart.
670 of 670 scores
| Model | Provider | Score |
|---|---|---|
| Claude Opus 5.5 (max with fallback) | Anthropic | 57.6 |
| Claude Opus 5.5 (xhigh with fallback) | Anthropic | 56.0 |
| Claude Sonnet 5.5 (max with fallback) | Anthropic | 56.0 |
| Claude Opus 5.5 (high with fallback) | Anthropic | 53.6 |
| Claude Fable 5.1 (max with fallback) | Anthropic | 53.4 |
| Claude Fable 5.1 (xhigh with fallback) | Anthropic | 53.2 |
| GPT-6 Astra (max) | OpenAI | 52.7 |
| GPT-6 Astra (xhigh) | OpenAI | 52.4 |
| Claude Sonnet 5.5 (xhigh with fallback) | Anthropic | 51.9 |
| Claude Opus 5.5 (medium with fallback) | Anthropic | 51.2 |
| Claude Fable 5.1 (high with fallback) | Anthropic | 51.2 |
| GPT-6 Astra (high) | OpenAI | 50.9 |
| Claude Opus 5 (max) Archived | Anthropic | 50.8 |
| Claude Opus 5 (xhigh) Archived | Anthropic | 49.7 |
| Claude Fable 5 (with fallback) Archived | Anthropic | 49.6 |
| GPT-6 Astra (medium) | OpenAI | 49.6 |
| Claude Fable 5.1 (medium with fallback) | Anthropic | 48.9 |
| Claude Opus 5 (high) Archived | Anthropic | 48.1 |
| Muse Spark 1.3 (max) | Meta | 48.1 |
| GPT-6 Sol (max) | OpenAI | 47.5 |
| GPT-5.6 Sol (max) Archived | OpenAI | 47.0 |
| Claude Fable 5.1 (low with fallback) | Anthropic | 46.8 |
| Claude Sonnet 5.5 (high with fallback) | Anthropic | 46.7 |
| Grok 4.7 (xhigh) | xAI | 46.4 |
| Grok 4.7 (high) | xAI | 46.3 |
| MiMo-V2.6-Pro | Xiaomi | 46.3 |
| GPT-6 Astra (low) | OpenAI | 45.8 |
| Qwen3.8 Max (0902) | Qwen | 45.4 |
| Muse Spark 1.3 (xhigh) | Meta | 45.1 |
| Claude Opus 5 (medium) Archived | Anthropic | 44.8 |
| GLM-5.3 (max) | Z.ai | 44.8 |
| Grok 4.6 (high) | xAI | 44.3 |
| Grok 4.6 (xhigh) | xAI | 44.2 |
| GPT-6 Sol (xhigh) | OpenAI | 44.1 |
| GPT-5.6 Sol (xhigh) Archived | OpenAI | 44.0 |
| Step 5 Preview | StepFun | 43.7 |
| Kimi K3 (max) | Moonshot | 43.6 |
| Grok 4.6 (medium) | xAI | 42.8 |
| GPT-6 Sol (high) | OpenAI | 42.8 |
| GPT-5.6 Sol (high) Archived | OpenAI | 42.3 |
| Claude Opus 5.5 (low with fallback) | Anthropic | 42.3 |
| GPT-5.6 Terra (max) | OpenAI | 42.1 |
| GLM-5.3-Flash (max) | Z.ai | 41.8 |
| Claude Opus 4.8 (max) Archived | Anthropic | 41.8 |
| Gemini 3.8 Flash (high) | 40.9 | |
| Claude Sonnet 5.5 (medium with fallback) | Anthropic | 40.7 |
| Claude Opus 4.7 (max) Estimated · Archived | Anthropic | 40.7 |
| Qwen3.8 Max Archived | Qwen | 40.2 |
| Qwen3.8 2.4T A95B | Qwen | 39.9 |
| Qwen3.8-Flash-Next | Qwen | 39.8 |
| GPT-6 Sol (medium) | OpenAI | 39.8 |
| Gemini 3.8 Flash (medium) | 39.8 | |
| Gemini 3.7 Flash (medium) Estimated · Archived | 39.6 | |
| Muse Spark 1.2 (xhigh) Archived | Meta | 39.6 |
| DeepSeek V4.1 Flash (max) | DeepSeek | 39.5 |
| Claude Opus 5 (low) Archived | Anthropic | 39.4 |
| GPT-5.6 Sol (medium) Archived | OpenAI | 39.2 |
| Gemini 3.7 Flash (high) Archived | 39.1 | |
| GPT-5.4 (xhigh) Estimated · Archived | OpenAI | 39.0 |
| Grok 4.5 (high) Archived | xAI | 38.8 |
| GPT-5.5 (xhigh) Archived | OpenAI | 38.4 |
| Claude Sonnet 5 (max) | Anthropic | 38.2 |
| GPT-5.6 Terra (xhigh) | OpenAI | 38.0 |
| MiMo-V2.6-Flash | Xiaomi | 37.9 |
| GPT-5.6 Luna (max) Archived | OpenAI | 37.3 |
| GPT-6 Luna (max) | OpenAI | 37.3 |
| GPT-5.5 (high) Archived | OpenAI | 37.0 |
| Gemini 3.7 Flash (low) Estimated · Archived | 36.9 | |
| DeepSeek V4 Pro 0813 (max) | DeepSeek | 36.0 |
| Claude Sonnet 5.5 (low with fallback) | Anthropic | 35.8 |
| Grok 4.6 (low) | xAI | 35.1 |
| DeepSeek V4 Flash Vision (max) | DeepSeek | 34.8 |
| GPT-5.6 Luna (xhigh) Archived | OpenAI | 34.6 |
| Kimi K3 (low) Estimated | Moonshot | 34.5 |
| Claude Sonnet 5 (xhigh) | Anthropic | 34.4 |
| DeepSeek V4 Flash 0731 (max) Archived | DeepSeek | 34.3 |
| GLM-5.3 (low) | Z.ai | 34.3 |
| GPT-5.6 Terra (high) | OpenAI | 34.2 |
| Gemini 3.6 Flash Archived | 34.0 | |
| GPT-6 Sol (low) | OpenAI | 33.9 |
| GPT-6 Luna (xhigh) | OpenAI | 33.9 |
| GPT-5.5 (medium) Archived | OpenAI | 33.8 |
| Muse Spark 1.1 (xhigh) Archived | Meta | 33.7 |
| GLM-5.2 (max) Archived | Z.ai | 33.7 |
| Qwen3.8 27B (xhigh) | Qwen | 33.7 |
| Gemini 3.5 Flash (medium) Estimated · Archived | 33.6 | |
| Motif 3 Estimated | Motif Technologies | 33.6 |
| GPT-5.6 Sol (low) Archived | OpenAI | 33.5 |
| Gemini 3.8 Flash (low) | 33.5 | |
| Gemini 3.5 Flash Archived | 32.6 | |
| GPT-5.3 Codex (xhigh) Estimated | OpenAI | 32.5 |
| Motif 3 (Beta) Estimated | Motif Technologies | 32.3 |
| GPT-6 Luna (high) | OpenAI | 32.1 |
| GPT-5.6 Luna (high) Archived | OpenAI | 32.1 |
| Claude Opus 4.6 (max) Estimated · Archived | Anthropic | 31.9 |
| Claude Sonnet 5 (high) | Anthropic | 31.7 |
| Muse Spark Estimated · Archived | Meta | 31.3 |
| Claude Opus 4.7 (Non-reasoning, high) Estimated · Archived | Anthropic | 30.9 |
| GPT-5.5 (low) Estimated · Archived | OpenAI | 30.7 |
| K2 Horizon 375B A23B | Institute of Foundation Models | 30.5 |
| DeepSeek V4 Pro (max) Archived | DeepSeek | 30.4 |
| GPT-5.2 (xhigh) Estimated · Archived | OpenAI | 30.4 |
| DeepSeek V4 Pro (high) Estimated · Archived | DeepSeek | 30.1 |
| GPT-5.6 Terra (medium) | OpenAI | 30.1 |
| Claude Sonnet 4.6 (max) Archived | Anthropic | 30.1 |
| Gemini 3.1 Pro Preview | 29.7 | |
| GPT-6 Luna (medium) | OpenAI | 29.5 |
| Qwen3.7 Max Archived | Qwen | 29.5 |
| MiniMax-M3 | MiniMax | 29.2 |
| Claude Opus 4.5 Estimated · Archived | Anthropic | 29.1 |
| MiMo-V2-Pro Estimated · Archived | Xiaomi | 28.6 |
| GPT-5.2 Codex (xhigh) Estimated · Archived | OpenAI | 28.5 |
| Qwen3.6 Max Preview Estimated · Archived | Qwen | 28.4 |
| GPT-5.6 Sol (Non-reasoning) Estimated · Archived | OpenAI | 28.3 |
| Nex-N2-Pro Estimated | Nex AGI | 28.2 |
| Solar Pro 4 Estimated | Upstage | 28.2 |
| GPT-6 Sol (Non-reasoning) | OpenAI | 28.1 |
| Claude Sonnet 5 (medium) | Anthropic | 28.1 |
| Gemini 3 Pro Preview (high) Estimated · Archived | 28.0 | |
| GLM-5 Estimated · Archived | Z.ai | 27.9 |
| Inkling Small Estimated | Thinking Machines | 27.8 |
| GPT-5.4 (low) Estimated · Archived | OpenAI | 27.6 |
| Qwen3.8 27B (medium) | Qwen | 27.6 |
| GPT-5.6 Terra (low) | OpenAI | 27.5 |
| JT-4.1 Flash 236B A21B Estimated | China Mobile | 27.3 |
| Grok Build 0.1 0616 Estimated · Archived | xAI | 27.2 |
| Qwen3.6 Plus Estimated · Archived | Qwen | 27.0 |
| Kimi K2.6 Archived | Moonshot | 27.0 |
| Quasar 438B (max) | Multiverse Computing | 26.7 |
| GLM-5-Turbo Estimated · Archived | Z.ai | 26.6 |
| GPT-5.2 (medium) Estimated · Archived | OpenAI | 26.5 |
| Apodex 1.1 | Apodex | 26.4 |
| Claude Opus 4.6 (Non-reasoning, high) Estimated · Archived | Anthropic | 26.4 |
| Gemini 3 Flash Estimated · Archived | 26.3 | |
| Qwen3.8 27B (low) | Qwen | 26.2 |
| GLM-5.1 Archived | Z.ai | 26.1 |
| GPT-5.5 Instant (June 2026) | OpenAI | 26.0 |
| DeepSeek V4 Flash (high) Estimated · Archived | DeepSeek | 26.0 |
| MiMo-V2.5-Pro | Xiaomi | 26.0 |
| Kimi K2.7 Code | Moonshot | 25.8 |
| Grok 4.20 0309 v2 Estimated · Archived | xAI | 25.7 |
| K2 Horizon MoVA 36B A4B | Institute of Foundation Models | 25.3 |
| Hy3 | Tencent | 25.3 |
| Grok 4.20 0309 Estimated · Archived | xAI | 25.2 |
| MiMo-V2.5 Estimated | Xiaomi | 25.2 |
| Qwen3.7 Plus | Qwen | 25.2 |
| MiMo-V2-Omni-0327 Estimated · Archived | Xiaomi | 25.1 |
| GPT-5.6 Luna (medium) Archived | OpenAI | 25.0 |
| Inkling | Thinking Machines | 25.0 |
| Ling 3.0 Flash Estimated | InclusionAI | 24.9 |
| GPT-5 Codex (high) Estimated · Archived | OpenAI | 24.9 |
| Grok 4.3 (high) Archived | xAI | 24.9 |
| Grok 4.3 (medium) Estimated · Archived | xAI | 24.8 |
| Solar Open2 250B Estimated | Upstage | 24.7 |
| GPT-5.1 (high) Estimated · Archived | OpenAI | 24.7 |
| Claude Sonnet 4.6 (Non-reasoning, high) Estimated · Archived | Anthropic | 24.7 |
| DeepSeek V4.1 Flash (Non-reasoning) | DeepSeek | 24.7 |
| Ling-3.0-flash-VL | InclusionAI | 24.6 |
| Grok 4.3 (low) Estimated · Archived | xAI | 24.3 |
| Claude Sonnet 5 (low) | Anthropic | 24.3 |
| GLM-5.1 (Non-reasoning) Estimated · Archived | Z.ai | 24.2 |
| DeepSeek V4 Flash (max) Archived | DeepSeek | 24.2 |
| GPT-5.4 mini (xhigh) Archived | OpenAI | 24.1 |
| MiMo-V2-Omni Estimated · Archived | Xiaomi | 23.9 |
| Gemini 3.5 Flash (minimal) Estimated · Archived | 23.8 | |
| GPT-5.1 Codex (high) Estimated · Archived | OpenAI | 23.7 |
| Claude Opus 4.5 (Non-reasoning) Estimated · Archived | Anthropic | 23.7 |
| Kimi K2.6 (Non-reasoning) Estimated · Archived | Moonshot | 23.6 |
| GLM 5V Turbo Estimated · Archived | Z.ai | 23.5 |
| Kimi K2.5 Estimated · Archived | Moonshot | 23.5 |
| Claude Sonnet 4.6 (Non-reasoning, low) Estimated · Archived | Anthropic | 23.3 |
| Claude Sonnet 5 (Non-reasoning) Estimated | Anthropic | 23.2 |
| GPT-5.5 (Non-reasoning) Estimated · Archived | OpenAI | 23.2 |
| GPT-5 (high) Estimated · Archived | OpenAI | 23.0 |
| Nemotron 3 Ultra | NVIDIA | 22.9 |
| Qwen3.5 27B Estimated · Archived | Qwen | 22.9 |
| GPT-5 (medium) Estimated · Archived | OpenAI | 22.9 |
| Claude 4.1 Opus Estimated · Archived | Anthropic | 22.8 |
| MiniMax-M2.5 Estimated · Archived | MiniMax | 22.8 |
| MiniMax-M2.7 Archived | MiniMax | 22.8 |
| Hy3-preview Estimated · Archived | Tencent | 22.7 |
| A.X-K2 Estimated | SK Telecom | 22.7 |
| GPT-5.5 Instant (May 2026) Estimated · Archived | OpenAI | 22.7 |
| Ling-3.0-flash-Fin | InclusionAI | 22.6 |
| Grok 4 Estimated · Archived | xAI | 22.5 |
| MiMo-V2-Flash (Feb 2026) Estimated | Xiaomi | 22.4 |
| GLM-5.2 (Non-reasoning) Estimated · Archived | Z.ai | 22.4 |
| Gemini 3 Pro Preview (low) Estimated · Archived | 22.3 | |
| GLM-4.7 Estimated · Archived | Z.ai | 22.2 |
| Gemini 3.5 Flash-Lite | 22.2 | |
| Kimi K2 Thinking Estimated · Archived | Moonshot | 22.0 |
| o3-pro Estimated · Archived | OpenAI | 21.9 |
| G9v3-39A5B Estimated | AI9Stars | 21.8 |
| GLM-5 (Non-reasoning) Estimated · Archived | Z.ai | 21.8 |
| KAT-Coder-Pro V2 Estimated | KwaiKAT | 21.7 |
| DeepSeek V3.2 Estimated · Archived | DeepSeek | 21.5 |
| Qwen3.5 397B A17B (Non-reasoning) Estimated | Qwen | 21.4 |
| Qwen3.6 27B Archived | Qwen | 21.4 |
| Qwen3 Max Thinking Estimated · Archived | Qwen | 21.3 |
| GPT-5.6 Luna (low) Archived | OpenAI | 21.0 |
| MiniMax-M2.1 Estimated · Archived | MiniMax | 20.9 |
| GPT-6 Luna (low) | OpenAI | 20.9 |
| DeepSeek V4 Pro (Non-reasoning) Estimated · Archived | DeepSeek | 20.8 |
| MiMo-V2-Flash Estimated · Archived | Xiaomi | 20.8 |
| GPT-5 (low) Estimated · Archived | OpenAI | 20.8 |
| GPT-5.6 Terra (Non-reasoning) | OpenAI | 20.8 |
| GPT-5.4 nano (xhigh) Archived | OpenAI | 20.7 |
| Claude 4.5 Sonnet Archived | Anthropic | 20.7 |
| Claude 4 Opus Estimated · Archived | Anthropic | 20.6 |
| GPT-5 mini (medium) Estimated · Archived | OpenAI | 20.6 |
| K2 Horizon 7B | Institute of Foundation Models | 20.6 |
| Qwen3.5 Omni Plus Estimated | Qwen | 20.4 |
| GPT-5.1 Codex mini (high) Estimated · Archived | OpenAI | 20.4 |
| Grok 4.1 Fast Estimated · Archived | xAI | 20.4 |
| o3 Estimated | OpenAI | 20.2 |
| Qwen3.8 27B | Qwen | 20.2 |
| GPT-5.4 nano Estimated · Archived | OpenAI | 20.0 |
| Qwen3.6 27B (Non-reasoning) Estimated · Archived | Qwen | 19.8 |
| GPT-5.4 mini (medium) Estimated · Archived | OpenAI | 19.7 |
| K-EXAONE 2.0 Estimated | LG AI Research | 19.7 |
| Step 3.7 Flash Estimated | StepFun | 19.5 |
| Kimi K2.5 (Non-reasoning) Estimated · Archived | Moonshot | 19.4 |
| Qwen3.5 27B (Non-reasoning) Estimated · Archived | Qwen | 19.4 |
| Claude 4.5 Sonnet (Non-reasoning) Estimated · Archived | Anthropic | 19.3 |
| Qwen3.5 35B A3B Estimated · Archived | Qwen | 19.3 |
| LongCat 2.0 | LongCat | 19.1 |
| Gemma 4 31B Estimated | 19.0 | |
| Claude 4 Sonnet Estimated · Archived | Anthropic | 18.9 |
| DeepSeek V4 Flash (Non-reasoning) Estimated · Archived | DeepSeek | 18.9 |
| JT-35B-Flash Estimated | China Mobile | 18.7 |
| MiniMax-M2 Estimated · Archived | MiniMax | 18.6 |
| KAT-Coder-Pro V1 Estimated · Archived | KwaiKAT | 18.6 |
| Claude 4.1 Opus (Non-reasoning) Estimated · Archived | Anthropic | 18.6 |
| GLM-4.6 Estimated · Archived | Z.ai | 18.5 |
| Qwen3.5 397B A17B | Qwen | 18.4 |
| MiMo-V2.5-Pro (Non-reasoning) Estimated | Xiaomi | 18.3 |
| GPT-6 Luna (Non-reasoning) | OpenAI | 18.3 |
| Qwen3.6 35B A3B | Qwen | 18.2 |
| GPT-5.4 (Non-reasoning) Estimated · Archived | OpenAI | 18.2 |
| Grok 4 Fast Estimated · Archived | xAI | 17.9 |
| Gemini 3 Flash (Non-reasoning) Estimated · Archived | 17.9 | |
| Qwen3.5 122B A10B (Non-reasoning) Estimated | Qwen | 17.7 |
| Claude 3.7 Sonnet Estimated · Archived | Anthropic | 17.7 |
| Muse Glimmer (high) | Meta | 17.5 |
| GLM-4.7 (Non-reasoning) Estimated · Archived | Z.ai | 17.4 |
| Hy3-preview (Non-reasoning) Estimated · Archived | Tencent | 17.0 |
| Ling-2.6-1T Estimated · Archived | InclusionAI | 17.0 |
| GPT-5.2 (Non-reasoning) Estimated · Archived | OpenAI | 17.0 |
| Step 3.5 Flash 2603 Estimated · Archived | StepFun | 17.0 |
| Doubao Seed Code Estimated | ByteDance Seed | 16.9 |
| Claude 4.5 Haiku | Anthropic | 16.9 |
| GPT-5 mini (high) Archived | OpenAI | 16.8 |
| Gemma 4 26B A4B Estimated | 16.7 | |
| o4-mini (high) Estimated · Archived | OpenAI | 16.7 |
| Ring-2.6-1T | InclusionAI | 16.6 |
| Step 3.5 Flash Estimated · Archived | StepFun | 16.6 |
| Claude 4 Opus (Non-reasoning) Estimated · Archived | Anthropic | 16.6 |
| Claude 4 Sonnet (Non-reasoning) Estimated · Archived | Anthropic | 16.6 |
| DeepSeek V3.2 Exp Estimated · Archived | DeepSeek | 16.6 |
| Qwen3 Max Thinking (Preview) Estimated · Archived | Qwen | 16.3 |
| Gemini 2.5 Pro Archived | 16.1 | |
| MiMo-V2-Flash (Non-reasoning) Estimated · Archived | Xiaomi | 16.0 |
| DeepSeek V3.2 (Non-reasoning) Estimated · Archived | DeepSeek | 16.0 |
| K2 Horizon 3.7B | Institute of Foundation Models | 15.6 |
| Qwen3 Max Estimated · Archived | Qwen | 15.6 |
| Qwen3.5 122B A10B | Qwen | 15.6 |
| Gemini 3.1 Flash-Lite Archived | 15.6 | |
| GPT-5.6 Luna (Non-reasoning) Archived | OpenAI | 15.5 |
| Gemini 2.5 Flash (Sep) Estimated · Archived | 15.5 | |
| Claude 4.5 Haiku (Non-reasoning) Estimated | Anthropic | 15.4 |
| Kimi K2 0905 Estimated · Archived | Moonshot | 15.3 |
| Ling 3.0 Tiny Estimated | InclusionAI | 15.3 |
| Claude 3.7 Sonnet (Non-reasoning) Estimated · Archived | Anthropic | 15.3 |
| Qwen3.6 35B A3B (Non-reasoning) Estimated | Qwen | 15.2 |
| o1 Estimated · Archived | OpenAI | 15.2 |
| Qwen3.5 35B A3B (Non-reasoning) Estimated · Archived | Qwen | 15.1 |
| Gemini 2.5 Pro (Mar) Estimated · Archived | 15.0 | |
| GLM-4.6 (Non-reasoning) Estimated · Archived | Z.ai | 14.9 |
| GLM-4.7-Flash Estimated · Archived | Z.ai | 14.9 |
| Granite 4.2 30B Estimated | IBM | 14.8 |
| DeepSeek V3.1 Terminus Archived | DeepSeek | 14.8 |
| Grok 3 mini Reasoning (high) Estimated · Archived | xAI | 14.6 |
| Grok 4.20 0309 (Non-reasoning) Estimated · Archived | xAI | 14.6 |
| Gemini 2.5 Pro (May) Estimated · Archived | 14.5 | |
| DeepSeek V3.2 Speciale Estimated · Archived | DeepSeek | 14.5 |
| K-EXAONE Estimated · Archived | LG AI Research | 14.4 |
| ERNIE 5.0 Thinking Preview Estimated | Baidu | 14.3 |
| Grok 4.20 0309 v2 (Non-reasoning) Estimated · Archived | xAI | 14.2 |
| Mistral Medium 3.5 | Mistral | 14.2 |
| Gemma 4 12B Estimated | 14.2 | |
| Nova 2.0 Pro Preview (medium) Estimated | Amazon | 14.2 |
| Grok Code Fast 1 Estimated · Archived | xAI | 14.1 |
| Grok 4.3 (Non-reasoning) Archived | xAI | 14.0 |
| DeepSeek V3.1 Terminus (Non-reasoning) Estimated · Archived | DeepSeek | 13.9 |
| Gemma 4 31B (Non-reasoning) Estimated | 13.9 | |
| DeepSeek V3.2 Exp (Non-reasoning) Estimated · Archived | DeepSeek | 13.9 |
| Apriel-v1.5-15B-Thinker Estimated · Archived | ServiceNow | 13.8 |
| Mercury 2 Estimated · Archived | Inception | 13.8 |
| DeepSeek V3.1 (Non-reasoning) Estimated · Archived | DeepSeek | 13.7 |
| Qwen3.5 9B Estimated | Qwen | 13.7 |
| Nova 2.0 Omni (medium) Estimated | Amazon | 13.6 |
| DeepSeek V3.1 Estimated · Archived | DeepSeek | 13.5 |
| Qwen3 VL 235B A22B (Reasoning) Estimated · Archived | Qwen | 13.4 |
| Apriel-v1.6-15B-Thinker Estimated | ServiceNow | 13.4 |
| Nova 2.0 Lite (high) Estimated | Amazon | 13.4 |
| GPT-5.1 (Non-reasoning) Estimated · Archived | OpenAI | 13.3 |
| Qwen3.5 9B (Non-reasoning) Estimated | Qwen | 13.3 |
| EXAONE 4.5 33B Estimated | LG AI Research | 13.2 |
| Command A+ | Cohere | 13.1 |
| Gemma 4 26B A4B (Non-reasoning) Estimated | 13.1 | |
| Qwen3.5 4B Estimated | Qwen | 13.1 |
| DeepSeek R1 0528 Estimated · Archived | DeepSeek | 13.1 |
| Gemini 2.5 Flash Estimated · Archived | 13.1 | |
| GPT-5 nano (high) Estimated · Archived | OpenAI | 13.0 |
| Nemotron 3.5 Lightning | NVIDIA | 12.9 |
| Nemotron 3 Super | NVIDIA | 12.8 |
| Nova 2.0 Pro Preview (low) Estimated | Amazon | 12.8 |
| GLM-4.5 Estimated · Archived | Z.ai | 12.8 |
| Kimi K2 Estimated · Archived | Moonshot | 12.7 |
| Qwen3 235B A22B 2507 Archived | Qwen | 12.7 |
| GPT-4.1 Estimated · Archived | OpenAI | 12.7 |
| Qwen3 Max (Preview) Estimated · Archived | Qwen | 12.6 |
| Nova 2.0 Lite (medium) Estimated | Amazon | 12.5 |
| GPT-5 nano (medium) Estimated · Archived | OpenAI | 12.5 |
| Qwen3.5 Omni Flash Estimated | Qwen | 12.5 |
| o3-mini Estimated · Archived | OpenAI | 12.5 |
| MiniCPM5-2B | OpenBMB | 12.5 |
| o1-pro Estimated · Archived | OpenAI | 12.4 |
| Gemini 2.5 Flash (Sep) (Non-reasoning) Estimated · Archived | 12.4 | |
| Mercury 2.5 | Inception | 12.3 |
| JT-MINI Estimated | China Mobile | 12.2 |
| Grok 3 Estimated · Archived | xAI | 12.1 |
| Seed-OSS-36B-Instruct Estimated · Archived | ByteDance Seed | 12.1 |
| Qwen3 235B 2507 Estimated · Archived | Qwen | 12.0 |
| Qwen3 Coder 480B Estimated · Archived | Qwen | 11.9 |
| Qwen3 VL 32B (Reasoning) Estimated · Archived | Qwen | 11.9 |
| Magistral Medium 1.2 Estimated | Mistral | 11.8 |
| Sonar Reasoning Pro Estimated · Archived | Perplexity | 11.8 |
| Nova 2.0 Lite (low) Estimated | Amazon | 11.8 |
| HyperNova 60B 2605 (high) Estimated | Multiverse Computing | 11.7 |
| MiniMax M1 80k Estimated · Archived | MiniMax | 11.7 |
| GPT-5.4 nano (Non-reasoning) Estimated · Archived | OpenAI | 11.7 |
| Nemotron Cascade 2 30B A3B Estimated | NVIDIA | 11.7 |
| Gemini 2.5 Flash (Apr) Estimated · Archived | 11.7 | |
| gpt-oss-120b (high) | OpenAI | 11.6 |
| K2 Think V2 Estimated | Institute of Foundation Models | 11.5 |
| LongCat Flash Lite Estimated | LongCat | 11.5 |
| GPT-5 (minimal) Estimated · Archived | OpenAI | 11.4 |
| DeepSeek R1 (Jan) Archived | DeepSeek | 11.4 |
| o1-preview Estimated · Archived | OpenAI | 11.4 |
| HyperCLOVA X SEED Think (32B) Estimated | Naver | 11.4 |
| Grok 4.1 Fast (Non-reasoning) Estimated · Archived | xAI | 11.3 |
| Mistral Small 4 | Mistral | 11.3 |
| GLM-4.6V Estimated · Archived | Z.ai | 11.2 |
| K-EXAONE (Non-reasoning) Estimated · Archived | LG AI Research | 11.2 |
| Qwen3 Next 80B A3B (Reasoning) Estimated | Qwen | 11.2 |
| GPT-5.4 mini (Non-reasoning) Estimated · Archived | OpenAI | 11.1 |
| Nova 2.0 Omni (low) Estimated | Amazon | 11.1 |
| GLM-4.5-Air Estimated · Archived | Z.ai | 11.1 |
| Granite 4.2 8B | IBM | 11.1 |
| Grok 4 Fast (Non-reasoning) Estimated · Archived | xAI | 11.1 |
| Mi:dm K 2.5 Pro Estimated | Korea Telecom | 11.0 |
| o3-mini (high) Archived | OpenAI | 11.0 |
| Ring-1T Estimated · Archived | InclusionAI | 10.9 |
| G9v3-3B Estimated | AI9Stars | 10.8 |
| Trinity Large Thinking | Arcee AI | 10.8 |
| Qwen3.5 4B (Non-reasoning) Estimated | Qwen | 10.8 |
| INTELLECT-3 Estimated | Prime Intellect | 10.6 |
| GLM-4.7-Flash (Non-reasoning) Estimated · Archived | Z.ai | 10.6 |
| GPT-5 (ChatGPT) Estimated · Archived | OpenAI | 10.4 |
| Solar Open 100B Estimated | Upstage | 10.4 |
| Grok 3 Reasoning Beta Estimated · Archived | xAI | 10.4 |
| Gemini 2.5 Flash-Lite (Sep) Estimated · Archived | 10.4 | |
| Nemotron 3 Nano Omni 30B A3B Estimated | NVIDIA | 10.3 |
| gpt-oss-120b (low) Estimated | OpenAI | 10.2 |
| GPT-4.1 mini Estimated · Archived | OpenAI | 10.2 |
| Llama 4 Maverick Estimated | Meta | 10.0 |
| MiniMax M1 40k Estimated · Archived | MiniMax | 10.0 |
| Nova 2.0 Pro Preview (Non-reasoning) Estimated | Amazon | 10.0 |
| gpt-oss-20b (low) Estimated | OpenAI | 10.0 |
| Qwen3 VL 235B A22B Estimated · Archived | Qwen | 9.9 |
| North Mini Code | Cohere | 9.9 |
| GPT-5 mini (minimal) Estimated · Archived | OpenAI | 9.9 |
| K2-V2 (high) Estimated | Institute of Foundation Models | 9.9 |
| Gemini 2.5 Flash (Non-reasoning) Estimated · Archived | 9.9 | |
| Qwen3 30B A3B 2507 Archived | Qwen | 9.8 |
| o1-mini Estimated · Archived | OpenAI | 9.8 |
| DeepSeek V3 0324 Archived | DeepSeek | 9.7 |
| Ling 2.6 Flash Estimated · Archived | InclusionAI | 9.7 |
| Qwen3 Next 80B A3B Estimated | Qwen | 9.6 |
| Tri-21B-think Preview Estimated · Archived | Trillion Labs | 9.6 |
| Qwen3 Coder 30B A3B Estimated · Archived | Qwen | 9.6 |
| GPT-4.5 (Preview) Estimated · Archived | OpenAI | 9.6 |
| DiffusionGemma 26B A4B Estimated | 9.5 | |
| Qwen3 235B Estimated · Archived | Qwen | 9.5 |
| QwQ-32B Estimated · Archived | Qwen | 9.5 |
| Qwen3 VL 30B A3B (Reasoning) Estimated · Archived | Qwen | 9.5 |
| Gemini 2.0 Flash Thinking exp. (Jan) Estimated · Archived | 9.4 | |
| Gemma 4 12B (Non-reasoning) Estimated | 9.4 | |
| Gemini 2.5 Flash-Lite (Sep) (Non-reasoning) Estimated · Archived | 9.3 | |
| Mistral Large 3 | Mistral | 9.3 |
| Qwen3 Coder Next | Qwen | 9.2 |
| Motif-2-12.7B Estimated | Motif Technologies | 9.2 |
| Mistral Medium 3.1 Archived | Mistral | 9.2 |
| Ling-1T Estimated · Archived | InclusionAI | 9.2 |
| Nova Premier Estimated | Amazon | 9.2 |
| Solar Pro 2 (Preview) Estimated · Archived | Upstage | 9.1 |
| Granite 4.2 3B | IBM | 9.1 |
| Magistral Medium 1 Estimated · Archived | Mistral | 9.1 |
| Mistral Medium 3 Estimated · Archived | Mistral | 9.0 |
| K2-V2 (medium) Estimated | Institute of Foundation Models | 9.0 |
| Llama Nemotron Super 49B v1.5 Estimated · Archived | NVIDIA | 9.0 |
| Devstral Medium Estimated · Archived | Mistral | 9.0 |
| Mistral Small 4 (Non-reasoning) Estimated | Mistral | 9.0 |
| Tri-21B-Think Estimated | Trillion Labs | 9.0 |
| gpt-oss-20b (high) | OpenAI | 9.0 |
| GPT-4o (Mar) Estimated · Archived | OpenAI | 9.0 |
| Gemini 2.0 Flash Estimated · Archived | 8.9 | |
| Claude 3.5 Haiku Estimated · Archived | Anthropic | 8.9 |
| Llama 3.3 Nemotron Super 49B Estimated · Archived | NVIDIA | 8.9 |
| Gemma 4 E4B Estimated | 8.9 | |
| Nemotron 3 Nano | NVIDIA | 8.9 |
| Qwen3 4B 2507 Estimated · Archived | Qwen | 8.8 |
| MiniCPM5-1B Estimated | OpenBMB | 8.8 |
| Sarvam 105B (high) Estimated | Sarvam | 8.8 |
| Gemini 2.0 Pro Experimental Estimated · Archived | 8.7 | |
| Nova 2.0 Lite (Non-reasoning) Estimated | Amazon | 8.7 |
| Devstral Small (May) Estimated · Archived | Mistral | 8.7 |
| Claude 3 Opus Estimated · Archived | Anthropic | 8.7 |
| MiniCPM5-1B (Non-reasoning) Estimated | OpenBMB | 8.7 |
| Sonar Reasoning Estimated · Archived | Perplexity | 8.7 |
| Gemini 2.5 Flash (Apr) (Non-reasoning) Estimated · Archived | 8.7 | |
| Devstral 2 Archived | Mistral | 8.6 |
| Magistral Small 1.2 Estimated | Mistral | 8.6 |
| Qwen3 32B Estimated · Archived | Qwen | 8.6 |
| Gemini 2.5 Flash-Lite Estimated · Archived | 8.5 | |
| DeepSeek V3 (Dec) Archived | DeepSeek | 8.5 |
| GPT-4o (Nov) Estimated · Archived | OpenAI | 8.4 |
| Nanbeige4.1-3B Estimated | Nanbeige | 8.4 |
| LFM2.5-2.6B Estimated | Liquid AI | 8.4 |
| Qwen3 VL 32B Estimated · Archived | Qwen | 8.4 |
| DeepSeek R1 Distill Qwen 32B Estimated · Archived | DeepSeek | 8.4 |
| GLM-4.6V (Non-reasoning) Estimated · Archived | Z.ai | 8.4 |
| Qwen3 235B (Non-reasoning) Estimated · Archived | Qwen | 8.3 |
| Mistral Small 3.2 Estimated · Archived | Mistral | 8.2 |
| Magistral Small 1 Estimated · Archived | Mistral | 8.2 |
| Gemini 2.0 Flash (exp) Estimated · Archived | 8.2 | |
| EXAONE 4.0 32B Estimated | LG AI Research | 8.2 |
| Qwen3 VL 8B (Reasoning) Estimated · Archived | Qwen | 8.2 |
| Qwen3 14B Estimated · Archived | Qwen | 8.2 |
| Nova 2.0 Omni (Non-reasoning) Estimated | Amazon | 8.2 |
| DeepSeek R1 0528 Qwen3 8B Estimated · Archived | DeepSeek | 8.1 |
| Llama 4 Scout Estimated | Meta | 8.1 |
| Qwen2.5 Max Estimated · Archived | Qwen | 8.0 |
| Qwen3 VL 30B A3B Estimated · Archived | Qwen | 7.9 |
| Hermes 4 70B Estimated | Nous Research | 7.9 |
| Gemini 1.5 Pro (Sep) Estimated · Archived | 7.9 | |
| Solar Pro 2 (Preview) (Non-reasoning) Estimated · Archived | Upstage | 7.9 |
| DeepSeek R1 Distill Llama 70B Estimated · Archived | DeepSeek | 7.9 |
| Claude 3.5 Sonnet (Oct) Estimated · Archived | Anthropic | 7.9 |
| DeepSeek R1 Distill Qwen 14B Estimated · Archived | DeepSeek | 7.8 |
| Falcon-H1R-7B Estimated | TII UAE | 7.8 |
| GPT-4.1 nano Estimated · Archived | OpenAI | 7.8 |
| Solar Pro 3 Archived | Upstage | 7.8 |
| Ling-flash-2.0 Estimated · Archived | InclusionAI | 7.8 |
| Gemma 4 E2B Estimated | 7.8 | |
| Qwen3 Omni 30B A3B (Reasoning) Estimated | Qwen | 7.8 |
| GPT-4o (Aug) Estimated · Archived | OpenAI | 7.7 |
| Qwen2.5 72B Estimated · Archived | Qwen | 7.7 |
| Sonar Estimated · Archived | Perplexity | 7.7 |
| Step3 VL 10B Estimated | StepFun | 7.7 |
| Llama 3.3 70B Estimated | Meta | 7.7 |
| Qwen3 30B Estimated · Archived | Qwen | 7.6 |
| Sonar Pro Estimated · Archived | Perplexity | 7.6 |
| Devstral Small Estimated · Archived | Mistral | 7.6 |
| QwQ 32B-Preview Estimated · Archived | Qwen | 7.6 |
| GLM-4.5V Estimated · Archived | Z.ai | 7.6 |
| Mistral Large 2 (Nov) Estimated · Archived | Mistral | 7.6 |
| Devstral Small 2 Archived | Mistral | 7.5 |
| Llama Nemotron Ultra Estimated | NVIDIA | 7.5 |
| Qwen3 30B A3B 2507 (Non-reasoning) Estimated · Archived | Qwen | 7.5 |
| ERNIE 4.5 300B A47B Estimated | Baidu | 7.5 |
| Hermes 4 405B Estimated | Nous Research | 7.5 |
| Solar Pro 2 Estimated · Archived | Upstage | 7.5 |
| NVIDIA Nemotron Nano 12B v2 VL Estimated | NVIDIA | 7.5 |
| Gemma 4 E4B (Non-reasoning) Estimated | 7.5 | |
| Granite 4.1 30B Estimated · Archived | IBM | 7.4 |
| NVIDIA Nemotron Nano 9B V2 Estimated | NVIDIA | 7.4 |
| Hermes 4 405B (Non-reasoning) Estimated | Nous Research | 7.4 |
| Gemini 2.0 Flash-Lite (Feb) Estimated · Archived | 7.4 | |
| Nemotron 3 Nano 4B Estimated | NVIDIA | 7.4 |
| Llama Nemotron Super 49B v1.5 (Non-reasoning) Estimated · Archived | NVIDIA | 7.4 |
| Qwen3 32B (Non-reasoning) Estimated · Archived | Qwen | 7.3 |
| GPT-4o (May) Estimated · Archived | OpenAI | 7.3 |
| Gemini 2.0 Flash-Lite (Preview) Estimated · Archived | 7.3 | |
| K2-V2 (low) Estimated | Institute of Foundation Models | 7.3 |
| Llama 3.1 Nemotron Nano 4B v1.1 Estimated · Archived | NVIDIA | 7.3 |
| Kimi Linear 48B A3B Instruct Estimated | Moonshot | 7.3 |
| Llama 3.1 405B Estimated | Meta | 7.3 |
| Qwen3 8B Estimated · Archived | Qwen | 7.3 |
| Llama 3.3 Nemotron Super 49B (Non-reasoning) Estimated · Archived | NVIDIA | 7.3 |
| Qwen3 VL 8B Estimated · Archived | Qwen | 7.3 |
| Qwen3 4B Estimated · Archived | Qwen | 7.2 |
| LFM2.5-8B-A1B Estimated | Liquid AI | 7.2 |
| Claude 3.5 Sonnet (June) Estimated · Archived | Anthropic | 7.2 |
| Tulu3 405B Estimated · Archived | Allen Institute for AI | 7.2 |
| GPT-4o (ChatGPT) Estimated · Archived | OpenAI | 7.2 |
| Ring-flash-2.0 Estimated | InclusionAI | 7.2 |
| Pixtral Large Estimated · Archived | Mistral | 7.1 |
| Olmo 3.1 32B Think Estimated | Allen Institute for AI | 7.1 |
| Mistral Small 3.1 Archived | Mistral | 7.1 |
| Grok 2 Estimated · Archived | xAI | 7.1 |
| GPT-5 nano (minimal) Estimated · Archived | OpenAI | 7.1 |
| Gemini 1.5 Flash (Sep) Estimated · Archived | 7.1 | |
| Qwen3 VL 4B (Reasoning) Estimated · Archived | Qwen | 7.0 |
| GPT-4 Turbo Estimated · Archived | OpenAI | 7.0 |
| Solar Pro 2 (Non-reasoning) Estimated · Archived | Upstage | 7.0 |
| Nova Pro Estimated · Archived | Amazon | 7.0 |
| Command A Estimated | Cohere | 7.0 |
| Qwen3.5 2B Estimated | Qwen | 6.9 |
| Llama 3.1 Nemotron 70B Estimated · Archived | NVIDIA | 6.9 |
| Llama 3.1 8B Estimated · Archived | Meta | 6.9 |
| Grok Beta Estimated · Archived | xAI | 6.9 |
| Qwen2.5 Instruct 32B Estimated · Archived | Qwen | 6.9 |
| Nemotron 3 Nano (Non-reasoning) Estimated | NVIDIA | 6.8 |
| NVIDIA Nemotron Nano 9B V2 (Non-reasoning) Estimated | NVIDIA | 6.8 |
| Mistral Large 2 (Jul) Estimated · Archived | Mistral | 6.8 |
| Qwen3 4B 2507 (Non-reasoning) Estimated · Archived | Qwen | 6.7 |
| Qwen2.5 Coder 32B Estimated · Archived | Qwen | 6.7 |
| Qwen3 14B (Non-reasoning) Estimated · Archived | Qwen | 6.7 |
| GPT-4 Estimated · Archived | OpenAI | 6.7 |
| GLM-4.5V (Non-reasoning) Estimated · Archived | Z.ai | 6.7 |
| Mistral Small 3 Estimated · Archived | Mistral | 6.7 |
| Gemini 2.5 Flash-Lite (Non-reasoning) Estimated · Archived | 6.7 | |
| Nova Lite Estimated · Archived | Amazon | 6.7 |
| GPT-4o mini Estimated · Archived | OpenAI | 6.7 |
| Hermes 4 70B (Non-reasoning) Estimated | Nous Research | 6.7 |
| Qwen3 30B (Non-reasoning) Estimated · Archived | Qwen | 6.6 |
| DeepSeek-V2.5 (Dec) Estimated · Archived | DeepSeek | 6.6 |
| Qwen3 4B (Non-reasoning) Estimated · Archived | Qwen | 6.6 |
| Llama 3.1 70B Estimated · Archived | Meta | 6.6 |
| Granite 4.1 8B Estimated · Archived | IBM | 6.6 |
| Sarvam 30B (high) Estimated | Sarvam | 6.6 |
| Gemini 2.0 Flash Thinking exp. (Dec) Estimated · Archived | 6.6 | |
| DeepSeek-V2.5 Estimated · Archived | DeepSeek | 6.6 |
| Olmo 3.1 32B Instruct Estimated | Allen Institute for AI | 6.5 |
| Mistral Saba Estimated · Archived | Mistral | 6.5 |
| DeepSeek R1 Distill Llama 8B Estimated · Archived | DeepSeek | 6.5 |
| Gemma 4 E2B (Non-reasoning) Estimated | 6.5 | |
| Olmo 3 32B Think Estimated · Archived | Allen Institute for AI | 6.5 |
| Gemini 1.5 Pro (May) Estimated · Archived | 6.4 | |
| R1 1776 Estimated | Perplexity | 6.4 |
| Qwen2.5 Turbo Estimated · Archived | Qwen | 6.4 |
| Reka Flash Estimated · Archived | Reka AI | 6.4 |
| Llama 3.2 90B (Vision) Estimated | Meta | 6.4 |
| Solar Mini Estimated · Archived | Upstage | 6.4 |
| Celeris-1 | Celeris | 6.3 |
| Grok-1 Estimated · Archived | xAI | 6.3 |
| Qwen2 72B Estimated · Archived | Qwen | 6.3 |
| Phi-4 Mini Estimated | Microsoft | 6.3 |
| EXAONE 4.0 32B (Non-reasoning) Estimated | LG AI Research | 6.3 |
| Qwen3.5 2B (Non-reasoning) Estimated | Qwen | 6.2 |
| Gemini 1.5 Flash-8B Estimated · Archived | 6.2 | |
| Qwen3.5 0.8B Estimated | Qwen | 6.1 |
| DeepHermes 3 - Mistral 24B Estimated | Nous Research | 6.1 |
| Jamba 1.7 Large Estimated | AI21 Labs | 6.1 |
| Granite 4.0 H Small Estimated | IBM | 6.0 |
| Ministral 3 14B | Mistral | 6.0 |
| Jamba 1.5 Large Estimated · Archived | AI21 Labs | 6.0 |
| Qwen3 Omni 30B A3B Estimated | Qwen | 6.0 |
| Hermes 3 - Llama-3.1 70B Estimated · Archived | Nous Research | 6.0 |
| Qwen3 8B (Non-reasoning) Estimated · Archived | Qwen | 6.0 |
| DeepSeek-Coder-V2 Estimated · Archived | DeepSeek | 6.0 |
| OLMo 2 32B Estimated · Archived | Allen Institute for AI | 6.0 |
| Jamba 1.6 Large Estimated · Archived | AI21 Labs | 6.0 |
| LFM2 24B A2B Estimated | Liquid AI | 5.9 |
| Gemini 1.5 Flash (May) Estimated · Archived | 5.9 | |
| Phi-4 Estimated | Microsoft | 5.9 |
| Claude 3 Sonnet Estimated · Archived | Anthropic | 5.9 |
| Nova Micro Estimated | Amazon | 5.9 |
| Granite 4.1 3B Estimated · Archived | IBM | 5.9 |
| Mistral Small (Sep) Estimated · Archived | Mistral | 5.8 |
| Gemini 1.0 Ultra Estimated · Archived | 5.8 | |
| Phi-3 Mini Estimated · Archived | Microsoft | 5.8 |
| NVIDIA Nemotron Nano 12B v2 VL (Non-reasoning) Estimated | NVIDIA | 5.8 |
| Gemma 3n E4B (May) Estimated · Archived | 5.8 | |
| Phi-4 Multimodal Estimated | Microsoft | 5.8 |
| Qwen2.5 Coder 7B Estimated · Archived | Qwen | 5.8 |
| Mistral Large (Feb) Estimated · Archived | Mistral | 5.8 |
| Mixtral 8x22B Estimated · Archived | Mistral | 5.7 |
| Llama 2 Chat 7B Estimated · Archived | Meta | 5.7 |
| Llama 3.2 3B Estimated · Archived | Meta | 5.7 |
| MiniCPM-V 4.6 1.3B Estimated | OpenBMB | 5.7 |
| Jamba Reasoning 3B Estimated | AI21 Labs | 5.7 |
| Qwen3 VL 4B Estimated · Archived | Qwen | 5.7 |
| Qwen1.5 Chat 110B Estimated · Archived | Qwen | 5.7 |
| Reka Flash 3 Estimated | Reka AI | 5.6 |
| Olmo 3 7B Think Estimated | Allen Institute for AI | 5.6 |
| Claude 2.1 Estimated · Archived | Anthropic | 5.6 |
| Claude 3 Haiku Estimated · Archived | Anthropic | 5.6 |
| OLMo 2 7B Estimated · Archived | Allen Institute for AI | 5.6 |
| Molmo 7B-D Estimated | Allen Institute for AI | 5.6 |
| Ling-mini-2.0 Estimated · Archived | InclusionAI | 5.5 |
| DeepSeek R1 Distill Qwen 1.5B Estimated · Archived | DeepSeek | 5.5 |
| Claude 2.0 Estimated · Archived | Anthropic | 5.5 |
| DeepSeek-V2 Estimated · Archived | DeepSeek | 5.5 |
| Mistral Small (Feb) Estimated · Archived | Mistral | 5.5 |
| Mistral Medium Estimated · Archived | Mistral | 5.5 |
| GPT-3.5 Turbo Estimated · Archived | OpenAI | 5.5 |
| Ministral 3 8B | Mistral | 5.5 |
| Llama 3 70B Estimated · Archived | Meta | 5.5 |
| Arctic Estimated · Archived | Snowflake | 5.4 |
| Qwen Chat 72B Estimated · Archived | Qwen | 5.4 |
| LFM 40B Estimated · Archived | Liquid AI | 5.4 |
| Llama 3.2 11B (Vision) Estimated | Meta | 5.4 |
| Qwen3.5 0.8B (Non-reasoning) Estimated | Qwen | 5.4 |
| PALM-2 Estimated · Archived | 5.4 | |
| Gemini 1.0 Pro Estimated · Archived | 5.3 | |
| DeepSeek Coder V2 Lite Estimated · Archived | DeepSeek | 5.3 |
| Sarvam M Estimated · Archived | Sarvam | 5.3 |
| DeepSeek LLM 67B (V1) Estimated · Archived | DeepSeek | 5.3 |
| Llama 2 Chat 70B Estimated · Archived | Meta | 5.3 |
| Llama 2 Chat 13B Estimated · Archived | Meta | 5.3 |
| Command-R+ (Apr) Estimated · Archived | Cohere | 5.3 |
| OpenChat 3.5 Estimated · Archived | OpenChat | 5.3 |
| DBRX Estimated · Archived | Databricks | 5.3 |
| Exaone 4.0 1.2B Estimated | LG AI Research | 5.3 |
| Olmo 3 7B Estimated | Allen Institute for AI | 5.2 |
| Exaone 4.0 1.2B (Non-reasoning) Estimated | LG AI Research | 5.2 |
| LFM2.5-1.2B-Thinking Estimated | Liquid AI | 5.2 |
| Jamba 1.7 Mini Estimated | AI21 Labs | 5.2 |
| LFM2 2.6B Estimated · Archived | Liquid AI | 5.2 |
| LFM2.5-1.2B-Instruct Estimated | Liquid AI | 5.2 |
| Jamba 1.5 Mini Estimated · Archived | AI21 Labs | 5.2 |
| Granite 4.0 H 1B Estimated | IBM | 5.2 |
| Qwen3 1.7B Estimated · Archived | Qwen | 5.2 |
| Jamba 1.6 Mini Estimated · Archived | AI21 Labs | 5.2 |
| Mixtral 8x7B Estimated · Archived | Mistral | 5.1 |
| Gemma 3 270M Estimated | 5.1 | |
| Apertus 70B Instruct Estimated | Swiss AI Initiative | 5.1 |
| Granite 4.0 Micro Estimated | IBM | 5.1 |
| DeepHermes 3 - Llama-3.1 8B Estimated | Nous Research | 5.1 |
| Claude Instant Estimated · Archived | Anthropic | 5.0 |
| Command-R (Mar) Estimated · Archived | Cohere | 5.0 |
| Llama 65B Estimated · Archived | Meta | 5.0 |
| Mistral 7B Estimated · Archived | Mistral | 5.0 |
| Qwen Chat 14B Estimated · Archived | Qwen | 5.0 |
| Granite 4.0 1B Estimated · Archived | IBM | 5.0 |
| Molmo2-8B Estimated | Allen Institute for AI | 5.0 |
| LFM2 8B A1B Estimated · Archived | Liquid AI | 4.9 |
| Granite 3.3 8B Estimated · Archived | IBM | 4.9 |
| Qwen3 1.7B (Non-reasoning) Estimated · Archived | Qwen | 4.9 |
| Gemma 3 27B Archived | 4.9 | |
| Ministral 3 3B | Mistral | 4.8 |
| Apertus 8B Instruct Estimated | Swiss AI Initiative | 4.8 |
| Gemma 3 1B Estimated · Archived | 4.8 | |
| Gemma 3 4B Estimated · Archived | 4.8 | |
| Gemma 3n E2B Estimated · Archived | 4.8 | |
| Gemma 3n E4B Estimated · Archived | 4.8 | |
| Granite 4.0 350M Estimated | IBM | 4.8 |
| Granite 4.0 H 350M Estimated | IBM | 4.8 |
| LFM2 1.2B Estimated · Archived | Liquid AI | 4.8 |
| LFM2.5-VL-1.6B Estimated | Liquid AI | 4.8 |
| Llama 3.2 1B Estimated · Archived | Meta | 4.8 |
| Llama 3 8B Estimated · Archived | Meta | 4.8 |
| Qwen3 0.6B (Non-reasoning) Estimated · Archived | Qwen | 4.8 |
| Qwen3 0.6B Estimated · Archived | Qwen | 4.8 |
| Tiny Aya Global Estimated | Cohere | 4.8 |
| Gemma 3 12B Archived | 3.8 | |
| K2 Horizon 0.9B | Institute of Foundation Models | 3.0 |
Compare Artificial Analysis and DeepSWE in 2D
Loading the comparison…
Terminal-Bench v4.0 separates terminal work from the index
Terminal-Bench v4.0 tests 66 complex terminal tasks across software, machine learning, science, operations, security, hardware, and media. This view makes that one benchmark visible instead of folding it into the broader Intelligence Index.
The chart includes 149 of the 194 scored configurations in Artificial Analysis's model catalog. The remaining configurations lack the positive cost or timing measurements required for this 3D view. The full score list is available in the Terminal-Bench view above, including configurations without cost or timing data. Claude Sonnet 5.5 at max has the highest score, 63.6%, but Artificial Analysis has not published its output speed, so it appears only in the score table. Claude Opus 5.5 at max and xhigh ties GPT-6 Astra at xhigh for the highest plotted score, 59.6%. GPT-6 Sol at max reaches 43.9%, up from 39.9% for GPT-5.6 Sol.
What DeepSWE costs at today’s token prices
DeepSWE tests long-horizon software engineering agents on 113 tasks from real repositories. I keep its v1.1 scores and token usage fixed, then apply prices from September 23, 2026. Because input counts include cache hits, I subtract those hits, price them at the cache-read rate, price the rest at the regular input rate, and add output cost.
The agent-time view averages DeepSWE’s measured duration across included rollouts. It measures the coding agent’s work, not raw output speed, and excludes verifier runtime.
Muse Spark 1.2 has two points because Meta offers a separate Contributor tier. Both use identical results and token counts. The cheaper Contributor tier requires opting in to let Meta use prompts and completions for model training, so the privacy trade-off is different.
Intelligence versus OpenCode Go pricing
Go costs $10/month. This graph pairs matching Artificial Analysis intelligence scores with Go token prices. Token price runs left to right, AA time per task recedes into depth, and higher points score better. This does not measure cost per completed task or Go serving speed. Token rates consume the plan's usage allowance; they are not extra monthly subscription fees.
Prices were checked September 11, 2026 against OpenCode's Go pricing documentation. Only exact model-name matches appear in the graph, with benchmark effort labels preserved. Effort settings share token rates but can consume different amounts of tokens; these scores do not verify identical Go behavior. Dated DeepSeek variants and models without matching scores are excluded. The expandable pricing table still covers all 28 models with published rates.
Default prices use the lower context tier and DeepSeek peak hours. Long-context pricing starts above 200K tokens for Grok, 256K for Qwen Plus, and 272K for Luna. DeepSeek peak hours are weekdays, 01:00–04:00 and 06:00–10:00 UTC. Other hours use off-peak rates.
Published limits are 20% of each model's monthly allowance per five hours and 50% per week. Do not add the model allowances together as a guaranteed shared credit balance. Optional Zen balance fallback can incur additional charges.
* DeepSeek V4.1 Flash's allowance is inconsistent across official pages: the docs list $15/month, while the Go landing page advertises a $60 promotion. The table retains the documented $15 figure; confirm your allowance in the console. Muse Contributor models have regional restrictions and permit model training on usage data.
Input · USD per 1M tokens · logarithmic price axis
22 scored configurations across 13 Go models. Intelligence Index v4.3.2, captured 2026-09-28. Prices are per token, not per completed task.
Go price, AA task time, and intelligence in 3D
Go token price runs left to right, AA time per task recedes into depth, and intelligence rises vertically. Timing is a benchmark proxy, not measured OpenCode Go latency. Dashed lines join effort levels from the same model family.
Drag the plot background to rotate · focus a model to use arrow keys
Minimum % of top score
All scores · Top score 48.1 · 22 models shown
Providers All 7
7 providers · Model counts reflect the score filter.
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8 non-dominated options remain. No other option matches or improves all three measures with at least one strict improvement.
Muse Spark 1.3 Contributor (max)
$/1M tokens $0.10
AA time per task 5.9 min
Score 48.1
All plotted intelligence scores and Go prices
| Configuration | AA time, min | Intelligence | Input / 1M |
|---|---|---|---|
| Muse Spark 1.3 Contributor (max) | 5.9 | 48.1 | $0.1 |
| Muse Spark 1.3 Contributor (xhigh) | 5.2 | 45.1 | $0.1 |
| GLM-5.3 (max) | 10.7 | 44.8 | $1.4 |
| Grok 4.6 (high) | 9.1 | 44.3 | $2 |
| Grok 4.6 (xhigh) | 9.6 | 44.2 | $2 |
| Grok 4.6 (medium) | 7.5 | 42.8 | $2 |
| GLM-5.3-Flash (max) | 15.7 | 41.8 | $0.15 |
| Qwen3.8 Max | 23.5 | 40.2 | $2 |
| DeepSeek V4.1 Flash (max) | 5.0 | 39.5 | $0.3 |
| GPT-5.6 Luna (max) | 5.7 | 37.3 | $0.2 |
| Grok 4.6 (low) | 2.8 | 35.1 | $2 |
| GPT-5.6 Luna (xhigh) | 3.1 | 34.6 | $0.2 |
| GLM-5.3 (low) | 6.3 | 34.3 | $1.4 |
| GLM-5.2 (max) | 10.8 | 33.7 | $1.4 |
| GPT-5.6 Luna (high) | 2.1 | 32.1 | $0.2 |
| DeepSeek V4 Pro (max) | 6.9 | 30.4 | $1.32 |
| Qwen3.7 Max | 2.3 | 29.5 | $2.5 |
| GLM-5.1 | 8.4 | 26.1 | $1.4 |
| Hy3 | 8.4 | 25.3 | $0.14 |
| Qwen3.7 Plus | 9.5 | 25.2 | $0.4 |
| GPT-5.6 Luna (medium) | 0.6 | 25.0 | $0.2 |
| GPT-5.6 Luna (low) | 0.4 | 21.0 | $0.2 |
All token rates and documented monthly limits
| Model | Input | Output | Cache read | Cache write | Monthly limit |
|---|---|---|---|---|---|
| Muse Spark 1.2 Contributor | $0.1 | $0.2 | $0.002 | — | $60 |
| Muse Spark 1.3 Contributor | $0.1 | $0.2 | $0.002 | — | $60 |
| Hy3 | $0.14 | $0.58 | $0.035 | — | $60 |
| MiMo V2.5 | $0.14 | $0.28 | $0.0028 | — | $60 |
| GLM-5.3-Flash | $0.15 | $0.5 | $0.03 | — | $60 |
| Qwen3.8 Flash | $0.15 | $0.47 | $0.016 | $0.2 | $30 |
| GPT 5.6 Luna | $0.2 | $1.2 | $0.02 | $0.25 | $15 |
| DeepSeek V4 Flash | $0.3 | $1.2 | $0.006 | — | $30 |
| DeepSeek V4 Flash Vision Exp | $0.3 | $1.2 | $0.006 | — | $15 |
| DeepSeek V4.1 Flash | $0.3 | $1.2 | $0.006 | — | $15* |
| LongCat-2.0 | $0.3 | $1.2 | $0.006 | — | $60 |
| MiniMax M2.5 | $0.3 | $1.2 | $0.06 | $0.375 | $60 |
| MiniMax M2.7 | $0.3 | $1.2 | $0.06 | $0.375 | $60 |
| MiniMax M3 | $0.3 | $1.2 | $0.06 | — | $60 |
| Qwen3.7 Plus | $0.4 | $1.6 | $0.04 | $0.5 | $60 |
| MiMo V2.5 Pro | $0.435 | $0.87 | $0.003625 | — | $15 |
| Qwen3.6 Plus | $0.5 | $3 | $0.05 | $0.625 | $60 |
| Hy4 preview | $0.834 | $2.501 | $0.042 | — | $30 |
| Kimi K2.6 | $0.95 | $4 | $0.16 | — | $60 |
| Kimi K2.7 Code | $0.95 | $4 | $0.19 | — | $60 |
| DeepSeek V4 Pro | $1.32 | $3.96 | $0.044 | — | $15 |
| GLM-5.1 | $1.4 | $4.4 | $0.26 | — | $60 |
| GLM-5.2 | $1.4 | $4.4 | $0.26 | — | $60 |
| GLM-5.3 | $1.4 | $4.4 | $0.26 | — | $15 |
| Grok 4.6 | $2 | $6 | $0.5 | — | $15 |
| Qwen3.8 Max | $2 | $6 | $0.25 | $2.5 | $15 |
| Qwen3.7 Max | $2.5 | $7.5 | $0.5 | $3.125 | $30 |
| Kimi K3 | $3 | $15 | $0.3 | — | $15 |
What the Pareto frontier means
A model is on the 3D Pareto frontier if no other model beats it on score, cost, and time. The switch fades everything else and joins the frontier with a dotted line. I use that line as a shortlist: start cheap, then move up if the model struggles.
The v4.3 rebuild moved nearly every score and recalculated task costs, so the old frontier no longer applies. GPT-6 Luna now owns the low-cost end. At max it matches GPT-5.6 Luna’s 37.3 for about $0.07 per task instead of $0.18. GPT-6 Sol scores about the same as GPT-5.6 Sol at every effort setting for roughly half the cost. In the middle, the Muse Spark 1.3 Contributor pricing scenarios reuse scores of 45 to 48 at a derived cost of about $0.06 per task. Contributor max eligibility remains unverified; that point is hypothetical pricing, not a confirmed available tier. Contributor usage permits model training.
Claude Opus 5.5 at max now has the highest plotted score at 57.6, for about $5.98 and 13.3 minutes per task. At xhigh it scores 56.0 for about $3.46 in 8.0 minutes. At high it scores 53.6 for about $1.82, just above Claude Fable 5.1 at max, which costs about $7.63 and takes 12.0 minutes. GPT-6 Astra at xhigh reaches 52.4 for about $2.31 in 5.1 minutes. Claude Sonnet 5.5 at max matches Opus 5.5 at xhigh with 56.0, but costs about $7.60, more than twice as much. Artificial Analysis has not published Sonnet 5.5’s time per task yet, so it is not plotted. Models without current cost or timing data remain in the full score table, so a missing point does not mean a missing result.
CursorBench ranks Opus 5.5 first: 57.8% at max for $13.43 per task, and 56.0% at both xhigh and high, where high costs $3.97 instead of $6.98. Sonnet 5.5 at xhigh scores 53.1% for $3.88, above every Fable 5.1 setting. Fable 5.1 at max tops out at 51.8% for $17.28.
On DeepSWE, GPT-5.6 Luna at max reaches 67.2 for about $0.54 per task. Gemini 3.8 Flash at high reaches 73.8 for about $2.36. GPT-6 Astra at xhigh leads at 74.1 for about $4.10. DeepSWE has no results for Opus 5.5, Sonnet 5.5, GPT-6 Sol, or GPT-6 Luna yet.
My current default
Right now I use GPT-5.6 Sol at medium effort by default and GPT-5.6 Luna for subagent work. Benchmarks help me choose what to test, but real project work makes the final call.
Benchmarks have limits
These numbers narrow the field, but they cannot show how a model will handle my code, instructions, or tools. I test a few candidates on real project work and start with the smallest one I can trust.