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 | Adoption | Popularity | Economic | Value | Cat. Rank | Agent | Downloads |
|---|---|---|---|---|---|---|---|---|---|
| 1 | Llama 3.1 8B Instruct MetaOpen | Large Language Models | 85.0 | 59.9 | 63.9 | 56.7 | #17 | 27.5 | 6.0M |
| 3 | Llama 3.2 3B Instruct MetaOpen | Large Language Models | 84.0 | 56.4 | 49.7 | 54.5 | #140 | — | 1.5M |
| 3 | Gemma 2 9B GoogleOpenArchived | Large Language Models | 81.5 | 60.4 | 49.5 | — | #116 | 42.5 | 37K |
| 4 | Gemma 3 GoogleOpen | Large Language Models | 83.2 | 57.7 | 61.0 | 57.0 | #87 | — | 1.2M |
| 7 | Llama 3.3 70B Instruct MetaOpen | Large Language Models | 81.2 | 54.7 | 62.1 | 44.8 | #80 | 26.1 | 327K |
| 10 | Gemma 4 26B A4B IT GoogleOpen | Multimodal | 79.3 | 51.9 | 52.0 | 55.5 | #6 | — | 11.9M |
| 28 | Llama 4 Maverick MetaOpen | Large Language Models | 77.6 | 63.4 | 47.9 | — | #116 | 20.0 | 2100.0M |
| 34 | DeepSeek-R1 DeepSeekOpen | Large Language Models | 76.7 | 58.9 | 49.3 | — | #115 | 56.9 | 4.5M |
| 44 | Qwen2.5-72B AlibabaOpen | Large Language Models | 76.3 | 57.4 | 49.5 | — | #124 | 52.8 | 2.8M |
| 48 | GPT-5.6 Luna OpenAI | Large Language Models | 75.9 | 54.5 | 51.9 | 46.7 | #66 | 59.1 | 218K |
| 49 | Qwen3 235B A22B QwenOpen | Large Language Models | 75.9 | 51.2 | 59.0 | 40.3 | #106 | 53.7 | 353K |
| 56 | DeepSeek-V3 DeepSeekOpen | Large Language Models | 75.5 | 59.3 | 49.1 | — | #117 | 40.9 | 1.0M |
| 59 | GPT-5.6 Terra OpenAI | Large Language Models | 75.4 | 51.1 | 57.7 | 28.5 | #70 | 59.5 | 144K |
| 60 | GPT-5.6 Sol OpenAI | Large Language Models | 75.3 | 51.0 | 61.0 | 28.5 | #1 | 57.5 | 130K |
| 98 | Claude 3.5 Sonnet AnthropicArchived | Multimodal | 70.9 | 55.1 | 69.7 | 37.3 | #35 | 43.7 | 0 |
| 123 | Qwen3.8 27B QwenOpen | Multimodal | 72.5 | 55.0 | 49.3 | 60.3 | #1 | 60.5 | 6.8M |
| 131 | Nemotron 70B NVIDIAOpen | Large Language Models | 72.3 | 56.8 | 47.8 | — | #263 | 53.8 | 620K |
| 132 | GPT-4.5 OpenAIArchived | Large Language Models | 68.7 | 47.2 | 76.6 | 7.7 | #51 | 34.5 | 0 |
| 141 | Claude Sonnet 5 Anthropic | Multimodal | 71.9 | 50.7 | 54.0 | 27.8 | #57 | 51.7 | 275K |
| 175 | Qwen3-235B AlibabaOpen | Large Language Models | 70.9 | 53.8 | 44.9 | — | #118 | 56.1 | 340K |
| 197 | DeepSeek-R1-Distill-Qwen-1.5B DeepSeekOpen | Large Language Models | 70.3 | 53.0 | 39.3 | — | #260 | 16.0 | 1.1M |
| 208 | qwen3-7-plus QwenOpen | Multimodal | 70.1 | 45.0 | 50.1 | 42.1 | #56 | 40.1 | 312K |
| 240 | Claude Fable 5 Anthropic | Multimodal | 69.5 | 42.9 | 63.9 | 15.7 | #58 | 65.4 | 39K |
| 260 | Kimi K2.5 Moonshot AI | Multimodal | 69.2 | 49.2 | 52.5 | 38.8 | #66 | 51.1 | 331K |
| 282 | QwQ 32B QwenOpen | Large Language Models | 68.7 | 50.1 | 44.6 | — | #315 | 51.5 | 40K |
| 291 | Kimi K3 Moonshot AIOpen | Multimodal | 68.6 | 52.9 | 51.1 | 35.6 | #55 | 56.7 | 1.2M |
| 298 | DeepSeek-R1-Distill-Qwen-7B DeepSeekOpen | Large Language Models | 68.5 | 51.0 | 38.6 | — | #294 | 5.4 | 303K |
| 306 | Kimi K2.6 Moonshot AIOpen | Multimodal | 68.4 | 47.6 | 51.6 | 37.7 | #67 | 64.3 | 425K |
| 334 | GPT-4o OpenAI | Multimodal | 68.0 | 50.0 | 60.6 | 22.8 | #70 | 36.7 | — |
| 350 | DeepSeek-R1-0528-Qwen3-8B DeepSeekOpen | Large Language Models | 67.8 | 50.5 | 38.8 | — | #249 | 26.1 | 627K |
| 353 | DeepSeek-R1-Distill-Llama-8B DeepSeekOpen | Large Language Models | 67.8 | 50.6 | 38.3 | — | #310 | 16.0 | 172K |
| 368 | DeepSeek-V3.2 DeepSeekOpen | Large Language Models | 67.5 | 50.4 | 36.4 | — | #236 | 45.5 | 4.6M |
| 371 | DeepSeek-OCR DeepSeekOpen | Multimodal | 67.5 | 51.6 | 35.1 | — | #157 | 16.0 | 2.1M |
| 439 | deepseek-v3.1 DeepSeekOpen | Large Language Models | 66.4 | 45.0 | 36.9 | — | #241 | 31.9 | 666K |
| 440 | Qwen3.8 2.4T A95B QwenOpen | Large Language Models | 66.4 | 42.8 | 53.2 | 27.2 | #89 | 51.5 | 32K |
| 451 | diffusiongemma-26B-A4B-it GoogleOpen | Multimodal | 66.3 | 51.0 | 29.6 | — | #178 | — | 653K |
| 481 | Kimi K2.7 Code Moonshot AI | Multimodal | 65.9 | 45.7 | 49.9 | 37.4 | #71 | 45.8 | 114K |
| 495 | o3 OpenAI | Large Language Models | 65.5 | 46.9 | 56.2 | 25.6 | #96 | 58.6 | — |
| 497 | GPT-4.1 OpenAI | Large Language Models | 65.5 | 48.1 | 56.3 | 26.7 | #137 | 55.9 | — |
| 517 | gemma-4-31B-it-qat-w4a16-ct GoogleOpen | Multimodal | 65.3 | 43.3 | 29.3 | — | #176 | — | 283K |
| 596 | o3 Pro OpenAI | Multimodal | 64.8 | 46.0 | 67.4 | 9.3 | #52 | 58.6 | — |
| 613 | DeepSeek-OCR-2 DeepSeekOpen | Multimodal | 64.7 | 47.9 | 32.9 | — | #180 | 16.0 | 725K |
| 656 | Claude Fable 5.1 Anthropic | Multimodal | 64.3 | 42.6 | 67.7 | 15.7 | #50 | 71.8 | 0 |
| 668 | VibeVoice-ASR MicrosoftOpen | Speech & Audio | 64.2 | 47.8 | 30.3 | — | #11 | — | 712K |
| 727 | Qwen3-ASR-1.7B QwenOpen | Speech & Audio | 63.8 | 47.7 | 32.5 | — | #13 | 53.7 | 1.1M |
| 749 | DeepSeek-R1-Zero DeepSeekOpen | Large Language Models | 63.7 | 48.3 | 36.7 | — | #432 | 16.0 | 8K |
| 760 | grok-4 xAI | Large Language Models | 63.6 | 43.0 | 45.1 | — | #212 | 47.9 | 61K |
| 856 | qwen3-235b-a22b-instruct-2507 QwenOpen | Large Language Models | 63.0 | 43.1 | 35.5 | — | #280 | 36.2 | 166K |
| 883 | DeepSeek-V4-Pro DeepSeekOpen | Large Language Models | 62.8 | 52.5 | 32.8 | — | #254 | 61.6 | 397K |
| 979 | GPT-5.2 Pro OpenAI | Large Language Models | 62.3 | 47.6 | 64.0 | 10.2 | #60 | 57.9 | — |