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 | Value | Popularity | Adoption | Economic | Cat. Rank | Agent | Downloads |
|---|---|---|---|---|---|---|---|---|---|
| 2 | GPT-5.6 Sol OpenAI | Large Language Models | 39.2 | 57.5 | 82.5 | 73.6 | #2 | 65.3 | 26K |
| 4 | Qwen3.8 Max QwenOpen | Vision & Image | 45.4 | 37.5 | 52.0 | 46.1 | #1 | 46.6 | 0 |
| 7 | DeepSeek V3 DeepSeekOpen | Large Language Models | 72.5 | 60.4 | 61.4 | 52.6 | #5 | 38.2 | — |
| 11 | Gemini 3 Pro Image Google | Image Generation | 42.8 | 38.2 | 57.9 | 47.2 | #1 | 72.3 | — |
| 12 | R1 DeepSeekOpen | Large Language Models | 57.0 | 43.9 | 61.0 | 49.5 | #8 | 43.7 | — |
| 13 | GPT-5.6 Luna OpenAI | Large Language Models | 77.5 | 56.0 | 84.1 | 62.3 | #9 | 57.9 | 88K |
| 15 | Grok 4 xAI | Large Language Models | 42.9 | 39.2 | 56.7 | 50.3 | #11 | 37.3 | 0 |
| 16 | GPT-5.6 Luna Pro OpenAIArchived | Large Language Models | 70.8 | 45.9 | 58.9 | 36.4 | #12 | 57.9 | — |
| 17 | GPT-5.4 OpenAI | Large Language Models | 41.9 | 48.2 | 60.6 | 53.0 | #13 | 69.1 | — |
| 18 | GPT-5.2 OpenAI | Large Language Models | 46.3 | 49.4 | 61.6 | 52.9 | #14 | 59.5 | — |
| 20 | GPT-5.1 OpenAI | Large Language Models | 50.4 | 50.0 | 62.1 | 52.3 | #16 | 55.8 | — |
| 21 | Gemma 4 26B A4B IT GoogleOpen | Multimodal | 91.7 | 51.2 | 78.7 | 51.1 | #2 | — | 13.4M |
| 22 | Llama 3.1 8B Instruct MetaOpen | Large Language Models | 93.5 | 60.5 | 85.0 | 63.9 | #17 | 24.7 | 7.3M |
| 23 | GPT-5.6 Sol Pro (batch) OpenAIArchived | Large Language Models | 49.9 | 45.9 | 58.9 | 39.2 | #19 | 59.1 | 0 |
| 25 | GPT-5.6 Terra Pro OpenAIArchived | Large Language Models | 41.0 | 45.9 | 58.9 | 41.5 | #21 | 58.4 | — |
| 39 | Qwen3.8-27B QwenOpen | Specialized | 68.0 | 66.5 | 66.6 | 41.0 | #2 | 45.0 | 2.4M |
| 40 | MiniMax M1 MiniMaxOpen | Large Language Models | 54.8 | 33.8 | 51.1 | 33.7 | #28 | — | — |
| 47 | Claude 4 Sonnet Anthropic | Multimodal | 36.2 | 57.4 | 59.9 | 54.6 | #8 | 68.7 | 0 |
| 48 | GPT-4.1 OpenAI | Large Language Models | 41.9 | 46.1 | 64.9 | 55.4 | #32 | 55.8 | — |
| 49 | Mistral Medium 3.5 Mistral AIOpen | Multimodal | 45.6 | 34.6 | 52.7 | 44.2 | #9 | 23.1 | — |
| 51 | Qwen3.6 Plus QwenOpen | Multimodal | 59.2 | 35.5 | 53.7 | 36.5 | #10 | 37.4 | — |
| 53 | o3 OpenAI | Large Language Models | 42.5 | 46.1 | 64.9 | 55.4 | #34 | 59.0 | — |
| 63 | Mistral Large 3 Mistral AIOpen | Multimodal | 58.2 | 37.1 | 54.7 | 48.1 | #16 | 35.3 | — |
| 68 | GPT-5 OpenAI | Large Language Models | 50.4 | 60.4 | 63.4 | 54.3 | #40 | 71.0 | — |
| 70 | Qwen3.7 Max QwenOpen | Large Language Models | 40.1 | 34.7 | 53.0 | 39.1 | #42 | 45.5 | — |
| 77 | DeepSeek V4 Pro 0423 DeepSeekOpen | Large Language Models | 59.9 | 44.0 | 54.9 | 42.1 | #47 | 61.0 | — |
| 78 | Qwen3 Max Thinking QwenOpen | Large Language Models | 46.5 | 36.4 | 54.4 | 40.6 | #48 | 50.4 | — |
| 84 | GPT-5.6 Terra OpenAI | Large Language Models | 47.2 | 51.0 | 82.6 | 67.4 | #52 | 58.4 | 28K |
| 85 | MiniMax M2 MiniMaxOpen | Large Language Models | 62.5 | 35.9 | 52.8 | 39.2 | #53 | 46.2 | — |
| 87 | GPT-4.5 OpenAIArchived | Large Language Models | 7.7 | 47.2 | 68.7 | 76.6 | #51 | 34.5 | 0 |
| 95 | Claude 3.5 Sonnet AnthropicArchived | Multimodal | 37.3 | 55.1 | 70.9 | 69.7 | #35 | 43.7 | 0 |
| 102 | Kimi K2.6 Moonshot AIOpen | Multimodal | 58.4 | 50.8 | 68.8 | 52.3 | #27 | 67.2 | 907K |
| 112 | qwen3-7-plus QwenOpen | Multimodal | 69.8 | 41.8 | 67.3 | 48.2 | #31 | 42.3 | 60K |
| 129 | MiniMax M2.5 MiniMaxOpen | Large Language Models | 67.3 | 41.6 | 50.9 | 40.0 | #79 | 49.5 | — |
| 203 | Meta-Llama-3-8B-Instruct MetaOpen | Large Language Models | 76.1 | 58.8 | 84.2 | 52.1 | #132 | 10.9 | 1.7M |
| 219 | GPT-4o OpenAI | Multimodal | 39.9 | 52.4 | 68.0 | 60.6 | #57 | 36.8 | — |
| 266 | Kimi K2 Moonshot AI | Large Language Models | 60.4 | 50.9 | 71.4 | 55.5 | #174 | 35.7 | 695K |