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 | 74.4 | 58.6 | 82.0 | 35.4 | #2 | 58.1 | 21K |
| 2 | GPT-5.6 Terra OpenAI | Large Language Models | 67.1 | 50.4 | 82.0 | 45.8 | #55 | 58.9 | 20K |
| 4 | Llama 3.1 8B Instruct MetaOpen | Large Language Models | 63.9 | 60.5 | 85.0 | 90.6 | #18 | 25.6 | 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 | 62.1 | 54.5 | 83.8 | 74.9 | #37 | 58.4 | 80K |
| 12 | GPT-4o OpenAI | Multimodal | 60.6 | 52.4 | 68.0 | 38.6 | #59 | 37.8 | — |
| 21 | Kimi K2 Moonshot AI | Large Language Models | 55.4 | 50.8 | 71.3 | 57.8 | #181 | 35.8 | 695K |
| 22 | o3 OpenAI | Large Language Models | 55.2 | 45.9 | 64.7 | 41.2 | #36 | 60.5 | — |
| 23 | GPT-4.1 OpenAI | Large Language Models | 55.2 | 45.9 | 64.8 | 40.6 | #34 | 55.9 | — |
| 25 | Claude 4 Sonnet Anthropic | Multimodal | 54.4 | 57.3 | 59.7 | 34.9 | #7 | 59.7 | 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 | 54.1 | 60.3 | 63.3 | 48.7 | #41 | 69.8 | — |
| 33 | GPT-5.4 OpenAI | Large Language Models | 52.8 | 48.0 | 60.4 | 40.6 | #12 | 69.3 | — |
| 35 | GPT-5.2 OpenAI | Large Language Models | 52.7 | 49.2 | 61.4 | 44.9 | #15 | 61.7 | — |
| 38 | GPT-5.1 OpenAI | Large Language Models | 52.1 | 49.8 | 61.9 | 48.9 | #16 | 58.1 | — |
| 44 | Gemma 4 26B A4B IT GoogleOpen | Multimodal | 51.0 | 51.1 | 78.6 | 82.0 | #3 | — | 13.4M |
| 49 | Kimi K2.6 Moonshot AIOpen | Multimodal | 50.7 | 50.8 | 68.6 | 62.9 | #1 | 67.3 | 907K |
| 56 | Gemma 2 9B GoogleOpenArchived | Large Language Models | 49.5 | 60.4 | 81.5 | — | #116 | 42.5 | 4.1M |
| 64 | Llama 3.3 70B MetaOpen | Large Language Models | 49.0 | 58.3 | 78.5 | — | #96 | 32.5 | 3.2M |
| 66 | Qwen2.5-72B AlibabaOpen | Large Language Models | 48.9 | 56.9 | 75.9 | — | #114 | 54.8 | 2.8M |
| 69 | DeepSeek-R1 DeepSeekOpen | Large Language Models | 48.3 | 58.2 | 75.9 | — | #58 | 54.7 | 4.5M |
| 72 | DeepSeek-V3 DeepSeekOpen | Large Language Models | 48.2 | 61.6 | 74.9 | — | #82 | 40.7 | 1.1M |
| 74 | Mistral Large 3 Mistral AIOpen | Multimodal | 47.9 | 36.9 | 54.5 | 56.4 | #13 | 35.2 | — |
| 78 | Gemma 3 27B GoogleOpenArchived | Large Language Models | 47.1 | 55.7 | 76.9 | — | #125 | 24.2 | 864K |
| 80 | qwen3-7-plus QwenOpen | Multimodal | 47.5 | 40.5 | 66.1 | 67.6 | #33 | 43.2 | 28K |
| 83 | Gemini 3 Pro Image Google | Image Generation | 47.0 | 38.0 | 57.8 | 40.9 | #1 | 59.0 | — |
| 86 | Llama 4 Maverick MetaOpen | Large Language Models | 46.9 | 63.1 | 76.9 | — | #53 | 18.9 | 2100.0M |
| 113 | Qwen3-235B AlibabaOpen | Large Language Models | 44.2 | 53.8 | 70.9 | — | #77 | 55.4 | 610K |
| 116 | Mistral Medium 3.5 Mistral AIOpen | Multimodal | 44.1 | 34.4 | 52.6 | 44.2 | #6 | 22.9 | — |
| 117 | grok-4 xAI | Large Language Models | 44.1 | 42.3 | 62.8 | — | #163 | 37.4 | 61K |
| 121 | Qwen3.8 Max QwenOpen | Vision & Image | 43.7 | 34.0 | 51.9 | 42.4 | #1 | 47.4 | 0 |
| 135 | Qwen3 Max QwenOpen | Large Language Models | 42.8 | 38.5 | 56.1 | 45.5 | #54 | 59.5 | — |
| 160 | Qwen3 Max Thinking QwenOpen | Large Language Models | 40.4 | 36.2 | 54.2 | 45.1 | #44 | 51.2 | — |
| 168 | MiniMax M2.5 MiniMaxOpen | Large Language Models | 39.8 | 47.3 | 50.8 | 68.6 | #19 | 49.5 | — |
| 171 | GPT-5.6 Sol Pro OpenAIArchived | Large Language Models | 41.7 | 38.8 | 58.7 | 24.4 | #8 | 59.7 | — |
| 176 | MiniMax M2 MiniMaxOpen | Large Language Models | 39.0 | 35.8 | 52.6 | 60.6 | #51 | 46.4 | — |
| 177 | Qwen3.7 Max QwenOpen | Large Language Models | 39.0 | 34.5 | 52.9 | 38.9 | #43 | 46.5 | — |
| 193 | qwen3-235b-a22b-instruct-2507 QwenOpen | Large Language Models | 38.1 | 47.2 | 66.8 | — | #110 | 31.3 | 1.2M |
| 210 | GPT-5.6 Terra Pro OpenAIArchived | Large Language Models | 39.0 | 46.4 | 58.7 | 48.4 | #17 | 59.2 | — |
| 216 | Qwen3.6 Plus QwenOpen | Multimodal | 36.3 | 35.3 | 53.6 | 57.4 | #8 | 38.3 | — |
| 223 | QwQ 32B QwenOpen | Large Language Models | 36.0 | 41.9 | 53.8 | — | #91 | 57.8 | — |
| 236 | DeepSeek-V3.2 DeepSeekOpen | Large Language Models | 34.8 | 48.9 | 65.3 | — | #197 | 44.1 | 1.1M |
| 259 | MiniMax M1 MiniMaxOpen | Large Language Models | 33.5 | 33.7 | 51.0 | 53.2 | #30 | — | — |
| 264 | GPT-5.6 Luna Pro OpenAIArchived | Large Language Models | 35.7 | 46.4 | 58.7 | 77.6 | #10 | 58.7 | — |
| 273 | DeepSeek-V4-Pro DeepSeekOpen | Large Language Models | 32.4 | 53.2 | 63.6 | — | #172 | 62.9 | 1.3M |
| 277 | DeepSeek V3.2 Speciale DeepSeekOpen | Large Language Models | 32.1 | 38.5 | 51.7 | — | #63 | 52.7 | — |