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 | Popularity | Adoption | Economic | Value | Cat. Rank | Agent | Downloads |
|---|---|---|---|---|---|---|---|---|---|
| 1 | DeepSeek-V3 DeepSeekOpen | Large Language Models | 74.4 | 75.4 | 47.7 | — | #39 | 41.8 | 320.0M |
| 2 | llama-3-70b-instruct MetaOpen | Large Language Models | 72.3 | 80.0 | 51.0 | — | #99 | 55.8 | 40.0M |
| 3 | Llama 4 Maverick MetaOpen | Large Language Models | 71.7 | 76.1 | 45.9 | — | #54 | 18.3 | 2100.0M |
| 4 | Llama 3.3 70B MetaOpen | Large Language Models | 67.1 | 77.7 | 48.0 | — | #95 | 31.9 | 3.2M |
| 5 | Qwen2.5-72B AlibabaOpen | Large Language Models | 66.8 | 75.1 | 47.8 | — | #101 | 54.9 | 2.8M |
| 8 | GPT-4 Turbo OpenAI | Large Language Models | 65.8 | 68.0 | 67.8 | 22.9 | #48 | 32.8 | — |
| 10 | CodeLlama 70B MetaOpen | Code | 65.4 | 80.0 | 51.0 | — | #8 | 33.2 | 410.0M |
| 15 | llama-3.1-405b-instruct MetaOpen | Large Language Models | 64.4 | 79.5 | 50.3 | — | #103 | 30.0 | 15.0M |
| 20 | DeepSeek-R1 DeepSeekOpen | Large Language Models | 63.9 | 75.1 | 47.3 | — | #58 | 56.0 | 4.5M |
| 26 | Phi 4 MicrosoftOpen | Large Language Models | 63.0 | 59.6 | 49.7 | 84.9 | #20 | 8.3 | — |
| 28 | GPT-4o OpenAI | Multimodal | 62.6 | 68.0 | 63.8 | 39.4 | #18 | 38.4 | — |
| 30 | Qwen3-235B AlibabaOpen | Large Language Models | 62.3 | 72.3 | 44.0 | — | #56 | 55.1 | 180.0M |
| 31 | GPT-4.1 OpenAI | Large Language Models | 61.7 | 64.0 | 57.0 | 43.4 | #27 | 56.9 | — |
| 33 | Gemma 3 27B GoogleOpen | Large Language Models | 61.4 | 77.9 | 46.9 | — | #79 | 23.7 | 560.0M |
| 42 | Gemma 2 9B GoogleOpen | Large Language Models | 60.3 | 81.4 | 49.4 | — | #97 | 41.1 | 4.1M |
| 50 | o3 OpenAI | Large Language Models | 59.4 | 64.0 | 57.0 | 43.8 | #30 | 62.9 | — |
| 62 | Command R+ CohereOpen | Large Language Models | 57.6 | 69.7 | 53.6 | — | #171 | — | 189K |
| 68 | QwQ 32B QwenOpen | Large Language Models | 57.3 | 53.0 | 36.9 | — | #61 | 57.6 | — |
| 70 | Claude 3.5 Sonnet AnthropicArchived | Multimodal | 55.1 | 70.9 | 69.7 | 37.3 | #35 | 43.7 | 0 |
| 89 | Command A CohereOpen | Large Language Models | 55.6 | 54.9 | 54.3 | 40.8 | #26 | 21.8 | — |
| 93 | Llama 4 Scout MetaOpen | Multimodal | 55.3 | 61.1 | 46.8 | 78.4 | #14 | 17.0 | — |
| 96 | gemma-4-31B-it GoogleOpen | Multimodal | 55.0 | 73.1 | 39.8 | 79.2 | #19 | — | 7.7M |
| 103 | GPT-5.2 OpenAI | Large Language Models | 54.1 | 60.9 | 50.6 | 44.9 | #5 | 66.4 | — |
| 104 | MiniMax M2 MiniMaxOpen | Large Language Models | 53.8 | 51.9 | 41.1 | 66.2 | #21 | 45.8 | — |
| 112 | GPT-5.5 OpenAI | Large Language Models | 53.2 | 59.0 | 54.3 | 32.9 | #1 | 63.8 | — |
| 134 | DeepSeek-V4-Pro DeepSeekOpen | Large Language Models | 52.2 | 63.9 | 31.8 | — | #128 | 64.3 | 2.8M |
| 146 | MiniMax M2.1 MiniMax | Large Language Models | 51.1 | 51.1 | 38.6 | 63.5 | #12 | 41.8 | — |
| 157 | DeepSeek-V3.2 DeepSeekOpen | Large Language Models | 50.9 | 64.2 | 34.6 | — | #173 | 45.5 | 869K |
| 160 | GPT-5.4 OpenAI | Large Language Models | 50.8 | 59.7 | 48.8 | 40.3 | #2 | 71.3 | — |
| 164 | GPT-5.1 OpenAI | Large Language Models | 50.7 | 61.2 | 51.0 | 48.3 | #14 | 58.9 | — |
| 168 | Kimi K2 Moonshot AI | Large Language Models | 50.5 | 52.6 | 45.7 | 57.8 | #37 | 35.3 | — |
| 171 | MiniMax M2.5 MiniMaxOpen | Large Language Models | 50.3 | 50.4 | 39.3 | 72.7 | #19 | 49.6 | — |
| 174 | Qwen3 Max QwenOpen | Large Language Models | 50.2 | 55.3 | 45.1 | 50.8 | #42 | 59.5 | — |
| 195 | MiniMax M2.7 MiniMax | Large Language Models | 49.8 | 50.0 | 36.9 | 64.7 | #15 | 41.3 | — |
| 210 | MiniMax M3 MiniMax | Multimodal | 49.3 | 49.0 | 37.7 | 67.2 | #2 | 31.9 | — |
| 212 | DeepSeek V3.2 Speciale DeepSeekOpen | Large Language Models | 49.2 | 55.9 | 44.7 | 68.2 | #10 | 52.8 | — |
| 213 | GPT-5 OpenAI | Large Language Models | 49.1 | 62.5 | 50.3 | 46.8 | #64 | 62.0 | — |
| 219 | Kimi K2.6 Moonshot AIOpen | Multimodal | 49.0 | 49.5 | 41.7 | 58.4 | #1 | 68.0 | — |
| 251 | Qwen3 Max Thinking QwenOpen | Large Language Models | 48.1 | 53.5 | 42.6 | 50.6 | #38 | 51.6 | — |
| 264 | qwen3-235b-a22b-instruct-2507 QwenOpen | Large Language Models | 47.5 | 65.9 | 37.0 | — | #153 | 33.1 | 1.1M |
| 268 | GPT-4.5 OpenAIArchived | Large Language Models | 47.2 | 68.7 | 76.6 | 7.7 | #51 | 34.5 | 0 |
| 273 | Qwen3.6 Plus QwenOpen | Multimodal | 47.3 | 52.8 | 38.2 | 62.4 | #8 | 39.4 | — |
| 281 | Qwen3.7 Plus QwenOpen | Multimodal | 47.0 | 51.9 | 40.6 | 66.8 | #4 | 43.7 | — |
| 282 | Qwen3.7 Max QwenOpen | Large Language Models | 47.0 | 52.1 | 40.5 | 46.1 | #29 | 46.7 | — |
| 285 | deepseek-v3.1 DeepSeekOpen | Large Language Models | 46.9 | 66.3 | 38.1 | — | #167 | 34.6 | 488K |
| 425 | MiniMax M1 MiniMaxOpen | Large Language Models | 42.6 | 53.6 | 38.8 | 60.9 | #82 | — | — |
| 474 | grok-4 xAI | Large Language Models | 41.8 | 62.1 | 43.1 | — | #121 | 36.3 | 61K |
| 751 | Grok 4.1 Fast xAI | Multimodal | 36.6 | 54.6 | 49.1 | 67.3 | #9 | 43.1 | — |
| 891 | GLM 5.2 Z.ai | Large Language Models | 34.3 | 45.3 | 34.6 | 43.6 | #11 | 54.2 | — |