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
1
Signal-backed rows without full normalized tables
0
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 | Claude Fable 5.1 Anthropic | Multimodal | 67.7 | 42.6 | 64.3 | 15.7 | #48 | 71.8 | 0 |
| 5 | Llama 3.1 8B Instruct MetaOpen | Large Language Models | 63.9 | 59.9 | 85.0 | 56.7 | #16 | 27.6 | 6.0M |
| 6 | GPT-4.5 OpenAIArchived | Large Language Models | 76.6 | 47.2 | 68.7 | 7.7 | #51 | 34.5 | 0 |
| 6 | Claude Fable 5 Anthropic | Multimodal | 63.9 | 42.9 | 69.5 | 15.7 | #58 | 65.4 | 39K |
| 10 | Llama 3.3 70B Instruct MetaOpen | Large Language Models | 62.1 | 54.7 | 81.2 | 44.8 | #80 | 26.3 | 327K |
| 12 | Gemma 3 GoogleOpen | Large Language Models | 61.0 | 57.7 | 83.2 | 57.0 | #88 | — | 1.2M |
| 13 | GPT-5.6 Sol OpenAI | Large Language Models | 61.0 | 51.0 | 75.3 | 28.5 | #1 | 57.3 | 130K |
| 14 | GPT-4o OpenAI | Multimodal | 60.6 | 50.0 | 68.0 | 22.8 | #71 | 36.7 | — |
| 19 | Qwen3 235B A22B QwenOpen | Large Language Models | 59.0 | 51.2 | 75.9 | 40.3 | #105 | 53.4 | 353K |
| 24 | GPT-5.6 Terra OpenAI | Large Language Models | 57.7 | 51.1 | 75.4 | 28.5 | #67 | 59.3 | 144K |
| 26 | Claude 3.5 Sonnet AnthropicArchived | Multimodal | 69.7 | 55.1 | 70.9 | 37.3 | #35 | 43.7 | 0 |
| 28 | GPT-4.1 OpenAI | Large Language Models | 56.3 | 48.1 | 65.5 | 26.6 | #134 | 55.9 | — |
| 29 | GPT-5.4 Image 2 OpenAI | Image Generation | 56.3 | 40.7 | 60.6 | 15.1 | #1 | 71.6 | — |
| 30 | o3 OpenAI | Large Language Models | 56.2 | 46.9 | 65.5 | 25.6 | #99 | 58.4 | — |
| 36 | Claude 4 Sonnet Anthropic | Multimodal | 55.4 | 56.9 | 60.5 | 21.7 | #54 | 57.0 | 0 |
| 43 | GPT-5.2 OpenAI | Large Language Models | 54.2 | 47.8 | 62.5 | 28.2 | #52 | 62.1 | — |
| 47 | GPT-5.4 OpenAI | Large Language Models | 54.0 | 48.6 | 61.2 | 25.2 | #4 | 71.6 | — |
| 48 | Claude Sonnet 5 Anthropic | Multimodal | 54.0 | 50.7 | 71.9 | 27.8 | #57 | 51.4 | 275K |
| 56 | Qwen3.8 2.4T A95B QwenOpen | Large Language Models | 53.1 | 42.8 | 66.4 | 27.2 | #90 | 51.2 | 32K |
| 56 | Gemma 2 9B GoogleOpenArchived | Large Language Models | 49.5 | 60.4 | 81.5 | — | #116 | 42.5 | 37K |
| 57 | Claude Opus 5 Anthropic | Multimodal | 52.7 | 45.0 | 54.8 | 22.1 | #4 | 69.6 | 0 |
| 59 | Kimi K2.5 Moonshot AI | Multimodal | 52.5 | 49.2 | 69.2 | 38.8 | #66 | 50.7 | 331K |
| 62 | Gemma 4 26B A4B IT GoogleOpen | Multimodal | 52.0 | 51.9 | 79.3 | 55.5 | #5 | — | 11.9M |
| 63 | GPT-5.6 Luna OpenAI | Large Language Models | 51.9 | 54.5 | 75.9 | 46.7 | #64 | 58.8 | 218K |
| 69 | Kimi K2.6 Moonshot AIOpen | Multimodal | 51.6 | 47.6 | 68.4 | 37.7 | #67 | 64.3 | 425K |
| 72 | Kimi K3 Moonshot AIOpen | Multimodal | 51.1 | 52.9 | 68.6 | 35.6 | #55 | 56.5 | 1.2M |
| 80 | Claude Opus 5.5 Anthropic | Multimodal | 50.4 | 41.1 | 54.0 | 22.1 | #51 | 72.4 | 0 |
| 87 | Kimi K2.7 Code Moonshot AI | Multimodal | 49.9 | 45.7 | 65.9 | 37.4 | #72 | 45.6 | 114K |
| 89 | Llama 3.2 3B Instruct MetaOpen | Large Language Models | 49.7 | 56.4 | 84.0 | 54.5 | #136 | — | 1.5M |
| 92 | Qwen2.5-72B AlibabaOpen | Large Language Models | 49.5 | 57.4 | 76.3 | — | #126 | 52.7 | 2.8M |
| 93 | DeepSeek-R1 DeepSeekOpen | Large Language Models | 49.3 | 58.9 | 76.7 | — | #116 | 56.9 | 4.5M |
| 94 | Qwen3.8 27B QwenOpen | Multimodal | 49.3 | 55.0 | 72.5 | 60.3 | #1 | 60.3 | 6.8M |
| 96 | DeepSeek-V3 DeepSeekOpen | Large Language Models | 49.1 | 59.3 | 75.5 | — | #119 | 40.7 | 1.0M |
| 98 | Mistral Large 3 Mistral AIOpen | Multimodal | 49.0 | 37.9 | 55.3 | 35.0 | #28 | 31.3 | — |
| 115 | Llama 4 Maverick MetaOpen | Large Language Models | 47.9 | 63.4 | 77.6 | — | #117 | 20.0 | 2100.0M |
| 117 | Nemotron 70B NVIDIAOpen | Large Language Models | 47.8 | 56.8 | 72.3 | — | #257 | 53.8 | 620K |
| 145 | grok-4 xAI | Large Language Models | 45.1 | 43.0 | 63.6 | — | #200 | 47.7 | 61K |
| 150 | Qwen3-235B AlibabaOpen | Large Language Models | 44.9 | 53.8 | 70.9 | — | #120 | 55.7 | 340K |
| 152 | Grok 4.3 xAI | Large Language Models | 44.7 | 35.8 | 53.9 | 29.8 | #8 | 47.7 | — |
| 153 | QwQ 32B QwenOpen | Large Language Models | 44.6 | 50.1 | 68.7 | — | #306 | 51.4 | 40K |
| 156 | Grok 4.6 xAI | Multimodal | 44.6 | 34.1 | 52.6 | 26.4 | #2 | 47.7 | 0 |
| 180 | GPT-5.6 Sol Pro OpenAI | Large Language Models | 42.2 | 44.3 | 59.5 | 24.6 | #9 | 47.3 | — |
| 182 | GPT-5.6 Terra Pro OpenAI | Large Language Models | 42.2 | 44.3 | 59.5 | 24.6 | #11 | 47.3 | — |
| 192 | Qwen3 Max Thinking QwenOpen | Large Language Models | 41.4 | 37.2 | 55.0 | 28.0 | #48 | 49.0 | — |
| 224 | DeepSeek-R1-Distill-Qwen-1.5B DeepSeekOpen | Large Language Models | 39.3 | 53.0 | 70.3 | — | #253 | 16.0 | 1.1M |
| 225 | Qwen3.5 Plus 2026-02-15 QwenOpen | Multimodal | 39.3 | 37.0 | 54.9 | 36.8 | #36 | 42.1 | — |
| 226 | Qwen3.8 Max (0902) QwenOpen | Multimodal | 39.3 | 34.0 | 52.3 | 22.5 | #26 | 44.4 | 0 |
| 239 | DeepSeek-R1-0528-Qwen3-8B DeepSeekOpen | Large Language Models | 38.8 | 50.5 | 67.8 | — | #239 | 26.0 | 627K |
| 243 | DeepSeek-R1-Distill-Qwen-7B DeepSeekOpen | Large Language Models | 38.6 | 51.0 | 68.5 | — | #282 | 5.5 | 303K |
| 248 | DeepSeek-R1-Distill-Llama-8B DeepSeekOpen | Large Language Models | 38.3 | 50.6 | 67.8 | — | #295 | 16.0 | 172K |