Rankings across capability, popularity, adoption, economic footprint, speed, and value. Updated every 6 hours.
Use this page when you want the best models for a specific goal, not just the biggest names.
Pure technical ability across benchmarks, arenas, and agent tasks.
Blended public attention plus real-world traction and trend persistence.
Observed practical footprint across providers, routing, and sustained usage proxies.
Evidence-weighted economic presence combining adoption, monetization, and distribution.
Capability relative to cost for practical buyers comparing utility per dollar.
Start with a lens above, keep Active Only on for the cleanest public view, and open deeper tables only when you want the supporting details.
19
Structured benchmark-backed rows
0
Signal-backed rows without full normalized tables
1
Benchmark-expected rows still catching up
Benchmark badges show how directly comparable a row is. Structured means normalized benchmark rows, Provider-reported means official benchmark claims without a normalized table yet, Arena only means competitive signal without broad benchmark coverage, and Pending means the model is tracked but benchmark ingestion is still catching up.
#▲ | Model | Category | Economic Footprint | Popularity | Adoption | Value | Cat. Rank | Agent | Downloads |
|---|---|---|---|---|---|---|---|---|---|
| 1 | GPT-5.6 Sol OpenAI | Large Language Models | 73.6 | 57.5 | 82.5 | 39.2 | #2 | 65.3 | 26K |
| 2 | GPT-5.6 Terra OpenAI | Large Language Models | 67.4 | 51.0 | 82.6 | 47.2 | #52 | 58.4 | 28K |
| 4 | Llama 3.1 8B Instruct MetaOpen | Large Language Models | 63.9 | 60.5 | 85.0 | 93.5 | #17 | 24.7 | 7.3M |
| 6 | GPT-4.5 OpenAIArchived | Large Language Models | 76.6 | 47.2 | 68.7 | 7.7 | #51 | 34.5 | 0 |
| 8 | GPT-5.6 Luna OpenAI | Large Language Models | 62.3 | 56.0 | 84.1 | 77.5 | #9 | 57.9 | 88K |
| 11 | GPT-4o OpenAI | Multimodal | 60.6 | 52.4 | 68.0 | 39.9 | #57 | 36.8 | — |
| 21 | Kimi K2 Moonshot AI | Large Language Models | 55.5 | 50.9 | 71.4 | 60.4 | #174 | 35.7 | 695K |
| 22 | o3 OpenAI | Large Language Models | 55.4 | 46.1 | 64.9 | 42.5 | #34 | 59.0 | — |
| 23 | GPT-4.1 OpenAI | Large Language Models | 55.4 | 46.1 | 64.9 | 41.9 | #32 | 55.8 | — |
| 25 | Claude 4 Sonnet Anthropic | Multimodal | 54.6 | 57.4 | 59.9 | 36.2 | #8 | 68.7 | 0 |
| 26 | Claude 3.5 Sonnet AnthropicArchived | Multimodal | 69.7 | 55.1 | 70.9 | 37.3 | #35 | 43.7 | 0 |
| 27 | GPT-5 OpenAI | Large Language Models | 54.3 | 60.4 | 63.4 | 50.4 | #40 | 71.0 | — |
| 33 | GPT-5.4 OpenAI | Large Language Models | 53.0 | 48.2 | 60.6 | 41.9 | #13 | 69.1 | — |
| 35 | GPT-5.2 OpenAI | Large Language Models | 52.9 | 49.4 | 61.6 | 46.3 | #14 | 59.5 | — |
| 38 | Kimi K2.6 Moonshot AIOpen | Multimodal | 52.3 | 50.8 | 68.8 | 58.4 | #27 | 67.2 | 907K |
| 39 | GPT-5.1 OpenAI | Large Language Models | 52.3 | 50.0 | 62.1 | 50.4 | #16 | 55.8 | — |
| 44 | Gemma 4 26B A4B IT GoogleOpen | Multimodal | 51.1 | 51.2 | 78.7 | 91.7 | #2 | — | 13.4M |
| 56 | Gemma 2 9B GoogleOpenArchived | Large Language Models | 49.5 | 60.4 | 81.5 | — | #116 | 42.5 | 4.1M |
| 63 | Llama 3.3 70B MetaOpen | Large Language Models | 49.1 | 58.4 | 78.6 | — | #97 | 32.6 | 3.2M |
| 66 | Qwen2.5-72B AlibabaOpen | Large Language Models | 49.0 | 57.0 | 76.0 | — | #110 | 52.5 | 2.8M |
| 69 | DeepSeek-R1 DeepSeekOpen | Large Language Models | 48.4 | 58.3 | 76.0 | — | #57 | 54.3 | 4.5M |
| 70 | DeepSeek-V3 DeepSeekOpen | Large Language Models | 48.3 | 68.1 | 74.8 | — | #74 | 38.2 | 984K |
| 74 | Mistral Large 3 Mistral AIOpen | Multimodal | 48.1 | 37.1 | 54.7 | 58.2 | #16 | 35.3 | — |
| 78 | Gemma 3 27B GoogleOpenArchived | Large Language Models | 47.1 | 55.7 | 76.9 | — | #125 | 24.2 | 864K |
| 84 | Gemini 3 Pro Image Google | Image Generation | 47.2 | 38.2 | 57.9 | 42.8 | #1 | 72.3 | — |
| 85 | Llama 4 Maverick MetaOpen | Large Language Models | 47.1 | 63.2 | 77.0 | — | #50 | 18.9 | 2100.0M |
| 93 | Qwen3.8 Max QwenOpen | Vision & Image | 46.1 | 37.5 | 52.0 | 45.4 | #1 | 46.6 | 0 |
| 115 | grok-4 xAI | Large Language Models | 44.3 | 42.4 | 63.0 | — | #154 | 37.3 | 61K |
| 117 | Qwen3-235B AlibabaOpen | Large Language Models | 44.2 | 53.8 | 70.7 | — | #78 | 54.6 | 479K |
| 118 | Mistral Medium 3.5 Mistral AIOpen | Multimodal | 44.2 | 34.6 | 52.7 | 45.6 | #9 | 23.1 | — |
| 154 | Qwen3.8-27B QwenOpen | Specialized | 41.0 | 66.5 | 66.6 | 68.0 | #2 | 45.0 | 2.4M |
| 158 | Qwen3 Max Thinking QwenOpen | Large Language Models | 40.6 | 36.4 | 54.4 | 46.5 | #48 | 50.4 | — |
| 166 | MiniMax M2.5 MiniMaxOpen | Large Language Models | 40.0 | 41.6 | 50.9 | 67.3 | #79 | 49.5 | — |
| 176 | MiniMax M2 MiniMaxOpen | Large Language Models | 39.2 | 35.9 | 52.8 | 62.5 | #53 | 46.2 | — |
| 177 | Qwen3.7 Max QwenOpen | Large Language Models | 39.1 | 34.7 | 53.0 | 40.1 | #42 | 45.5 | — |
| 179 | GPT-5.6 Terra Pro OpenAIArchived | Large Language Models | 41.5 | 45.9 | 58.9 | 41.0 | #21 | 58.4 | — |
| 195 | qwen3-235b-a22b-instruct-2507 QwenOpen | Large Language Models | 38.2 | 47.3 | 66.9 | — | #108 | 30.4 | 1.2M |
| 213 | GPT-5.6 Sol Pro (batch) OpenAIArchived | Large Language Models | 39.2 | 45.9 | 58.9 | 49.9 | #19 | 59.1 | 0 |
| 214 | Qwen3.6 Plus QwenOpen | Multimodal | 36.5 | 35.5 | 53.7 | 59.2 | #10 | 37.4 | — |
| 222 | QwQ 32B QwenOpen | Large Language Models | 36.2 | 42.0 | 53.9 | — | #92 | 56.0 | — |
| 235 | DeepSeek-V3.2 DeepSeekOpen | Large Language Models | 35.1 | 49.1 | 65.6 | — | #190 | 42.3 | 1.3M |
| 258 | GPT-5.6 Luna Pro OpenAIArchived | Large Language Models | 36.4 | 45.9 | 58.9 | 70.8 | #12 | 57.9 | — |
| 259 | MiniMax M1 MiniMaxOpen | Large Language Models | 33.7 | 33.8 | 51.1 | 54.8 | #28 | — | — |
| 276 | DeepSeek-V4-Pro DeepSeekOpen | Large Language Models | 32.5 | 53.2 | 63.6 | — | #168 | 61.0 | 1.2M |