模型排行
285 個模型 · 2 個榜單 · 2 個數據來源
開源前三甲
DeepSeek R1DeepSeek · 總第 3 名60.2
QwQ 32BAlibaba · 總第 4 名58.1
DeepSeek R1 Distill Qwen 32BDeepSeek · 總第 7 名51.9
這一期的變化
QwQ 32B智力榜 · 第 4新上榜
Reka Flash 3智力榜 · 第 12新上榜
Command A智力榜 · 第 26新上榜
Gemma 3 27B Instruct智力榜 · 第 30新上榜
| 排名 | 變化 | 模型 | 智力 | 價格 $/M | 速度 tok/s | 首字延遲 |
|---|---|---|---|---|---|---|
| 1 | — | DeepSeek R1開源DeepSeek | 60.2 | — | — | — |
| 2 | 新 | QwQ 32B開源Alibaba | 58.1 | — | — | — |
| 3 | ▼ 1 | DeepSeek R1 Distill Qwen 32B開源DeepSeek | 51.9 | — | — | — |
| 4 | ▼ 1 | DeepSeek R1 Distill Qwen 14B開源DeepSeek | 49.0 | — | — | — |
| 5 | ▼ 1 | DeepSeek R1 Distill Llama 70B開源DeepSeek | 48.2 | — | — | — |
| 6 | 新 | Reka Flash 3開源Reka AI | 47.1 | — | — | — |
| 7 | ▼ 2 | DeepSeek V3開源DeepSeek | 45.7 | — | — | — |
| 8 | ▼ 2 | QwQ 32B-Preview開源Alibaba | 42.6 | — | — | — |
| 9 | ▼ 2 | Llama 3.3 Instruct 70B開源Meta | 41.1 | — | — | — |
| 10 | ▼ 2 | Llama 3.1 Instruct 405B開源Meta | 40.5 | — | — | — |
| 11 | ▼ 2 | Qwen2.5 Instruct 72B開源Alibaba | 40.3 | — | — | — |
| 12 | ▼ 2 | Phi-4開源Microsoft Azure | 40.2 | — | — | — |
| 13 | 新 | Command A開源Cohere | 40.0 | — | — | — |
| 14 | ▼ 3 | Llama 3.1 Tulu3 405B開源Allen Institute for AI | 39.9 | — | — | — |
| 15 | ▼ 3 | MiniMax-Text-01開源MiniMax | 39.9 | — | — | — |
| 16 | ▼ 3 | Mistral Large 2 (Nov '24)開源Mistral | 38.3 | — | — | — |
| 17 | 新 | Gemma 3 27B Instruct開源Google | 37.6 | — | — | — |
| 18 | ▼ 4 | Pixtral Large開源Mistral | 37.4 | — | — | — |
| 19 | ▼ 4 | Qwen2.5 Instruct 32B開源Alibaba | 37.4 | — | — | — |
| 20 | ▼ 4 | Llama 3.1 Nemotron Instruct 70B開源NVIDIA | 37.3 | — | — | — |
| 21 | ▼ 4 | Mistral Large 2 (Jul '24)開源Mistral | 36.6 | — | — | — |
| 22 | ▼ 4 | Qwen2.5 Coder Instruct 32B開源Alibaba | 36.3 | — | — | — |
| 23 | ▼ 4 | Llama 3.1 Instruct 70B開源Meta | 35.4 | — | — | — |
| 24 | ▼ 4 | Mistral Small 3開源Mistral | 35.3 | — | — | — |
| 25 | ▼ 4 | DeepSeek R1 Distill Llama 8B開源DeepSeek | 34.0 | — | — | — |
| 26 | ▼ 4 | Llama 3.2 Instruct 90B (Vision)開源Meta | 33.4 | — | — | — |
| 27 | ▼ 4 | Qwen2 Instruct 72B開源Alibaba | 32.6 | — | — | — |
| 28 | ▼ 4 | Jamba 1.5 Large開源AI21 Labs | 29.3 | — | — | — |
| 29 | ▼ 4 | Jamba 1.6 Large開源AI21 Labs | 28.8 | — | — | — |
| 30 | ▼ 4 | Llama 3 Instruct 70B開源Meta | 27.5 | — | — | — |
| 31 | ▼ 4 | Mistral Small (Sep '24)開源Mistral | 27.4 | — | — | — |
| 32 | ▼ 4 | Mixtral 8x22B Instruct開源Mistral | 26.2 | — | — | — |
| 33 | ▼ 4 | Qwen2.5 Coder Instruct 7B開源Alibaba | 26.1 | — | — | — |
| 34 | ▼ 4 | Phi-3 Medium Instruct 14B開源Microsoft Azure | 24.5 | — | — | — |
| 35 | ▼ 4 | DeepSeek Coder V2 Lite Instruct開源DeepSeek | 24.1 | — | — | — |
| 36 | ▼ 4 | Llama 3.1 Instruct 8B開源Meta | 23.7 | — | — | — |
| 37 | ▼ 4 | Pixtral 12B (2409)開源Mistral | 23.4 | — | — | — |
| 38 | ▼ 4 | Phi-4 Multimodal Instruct開源Microsoft Azure | 23.0 | — | — | — |
| 39 | ▼ 4 | Phi-4 Mini Instruct開源Microsoft Azure | 22.8 | — | — | — |
| 40 | ▼ 4 | Ministral 8B開源Mistral | 22.3 | — | — | — |
| 41 | ▼ 4 | Llama 3.2 Instruct 11B (Vision)開源Meta | 22.2 | — | — | — |
| 42 | ▼ 4 | Command-R+ (Aug '24)開源Cohere | 21.5 | — | — | — |
| 43 | ▼ 4 | Llama 3 Instruct 8B開源Meta | 21.5 | — | — | — |
| 44 | ▼ 4 | Codestral (May '24)開源Mistral | 20.1 | — | — | — |
| 45 | ▼ 4 | Aya Expanse 32B開源Cohere | 20.1 | — | — | — |
| 46 | ▼ 4 | Command-R+ (Apr '24)開源Cohere | 19.9 | — | — | — |
| 47 | ▼ 4 | DBRX Instruct開源Databricks | 19.8 | — | — | — |
| 48 | ▼ 4 | Mistral NeMo開源Mistral | 19.6 | — | — | — |
| 49 | ▼ 4 | Llama 3.2 Instruct 3B開源Meta | 19.5 | — | — | — |
| 50 | ▼ 4 | DeepSeek R1 Distill Qwen 1.5B開源DeepSeek | 19.2 | — | — | — |
智力進步
漲得最多 · Anthropic +57.2目前最高 · Anthropic 64.6最高與最低相差 18.1 分時間範圍 2025年11月 – 2026年11月
64.6Anthropic60.0Google56.9OpenAI50.1Meta46.5Kimi