模型排行
141 個模型 · 1 個榜單 · 1 個數據來源
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開源前三甲
llama-3.1-405b-instruct-fp8Meta · 總第 7 名1,253
llama-3.1-405b-instruct-bf16Meta · 總第 8 名1,252
athene-v2-chatNexusFlow · 總第 18 名1,232
| 排名 | 變化 | 模型 | 得分 | 置信區間 | 投票 | 價格 $/M |
|---|---|---|---|---|---|---|
| 1 | — | llama-3.1-405b-instruct-fp8開源Meta | 1,253 | ±3 | 56,051 | — |
| 2 | — | llama-3.1-405b-instruct-bf16開源Meta | 1,252 | ±5 | 14,541 | — |
| 3 | ▲ 2 | athene-v2-chat開源NexusFlow | 1,232 | ±8 | 7,159 | — |
| 4 | ▼ 1 | mistral-large-2407開源Mistral · 另有 1 個檔位 | 1,231 | ±4 | 48,383 | — |
| 5 | ▼ 1 | qwen-max-0919開源Alibaba | 1,230 | ±5 | 17,592 | — |
| 6 | — | deepseek-v2.5開源DeepSeek | 1,224 | ±4 | 26,527 | — |
| 7 | ▲ 1 | athene-70b-0725開源NexusFlow | 1,222 | ±4 | 20,660 | — |
| 8 | ▼ 1 | qwen2.5-72b-instruct開源Alibaba | 1,222 | ±4 | 30,128 | — |
| 9 | — | llama-3.1-nemotron-70b-instruct開源NVIDIA | 1,215 | ±6 | 7,675 | — |
| 10 | — | llama-3.1-70b-instruct開源Meta | 1,213 | ±4 | 52,009 | — |
| 11 | — | gemma-2-27b-it開源Google | 1,206 | ±4 | 61,424 | — |
| 12 | ▲ 1 | jamba-1.5-large開源AI21 Labs | 1,204 | ±5 | 9,149 | — |
| 13 | ▼ 1 | llama-3.1-nemotron-51b-instruct開源NVIDIA | 1,204 | ±9 | 3,924 | — |
| 14 | — | gemma-2-9b-it-simpo開源Princeton | 1,199 | ±6 | 10,564 | — |
| 15 | — | command-r-plus-08-2024開源Cohere | 1,197 | ±6 | 10,569 | — |
| 16 | — | nemotron-4-340b-instruct開源NVIDIA | 1,196 | ±4 | 20,646 | — |
| 17 | — | llama-3-70b-instruct開源Meta | 1,195 | ±3 | 163,906 | — |
| 18 | — | qwen2.5-coder-32b-instruct開源Alibaba | 1,189 | ±7 | 5,755 | — |
| 19 | — | command-r-plus開源Cohere | 1,183 | ±2 | 80,919 | — |
| 20 | — | c4ai-aya-expanse-32b開源Cohere | 1,182 | ±5 | 17,583 | — |
| 21 | — | deepseek-coder-v2開源DeepSeek | 1,182 | ±4 | 15,788 | — |
| 22 | — | qwen2-72b-instruct開源Alibaba | 1,181 | ±3 | 38,960 | — |
| 23 | — | gemma-2-9b-it開源Google | 1,178 | ±3 | 43,070 | — |
| 24 | — | command-r-08-2024開源Cohere | 1,176 | ±5 | 10,882 | — |
| 25 | — | ministral-8b-2410開源Mistral | 1,159 | ±8 | 5,161 | — |
| 26 | — | jamba-1.5-mini開源AI21 Labs | 1,159 | ±5 | 9,288 | — |
| 27 | — | qwen1.5-110b-chat開源Alibaba | 1,155 | ±5 | 27,482 | — |
| 28 | — | mixtral-8x22b-instruct-v0.1開源Mistral | 1,149 | ±3 | 53,851 | — |
| 29 | ▲ 1 | qwen1.5-72b-chat開源Alibaba | 1,148 | ±3 | 40,654 | — |
| 30 | ▼ 1 | command-r開源Cohere | 1,148 | ±3 | 56,401 | — |
| 31 | — | llama-3-8b-instruct開源Meta | 1,142 | ±3 | 109,332 | — |
| 32 | 新 | qwq-32b-preview開源Alibaba | 1,133 | ±48 | 106 | — |
| 33 | ▼ 1 | yi-1.5-34b-chat開源01 AI | 1,133 | ±4 | 25,155 | — |
| 34 | ▼ 1 | llama-3.1-8b-instruct開源Meta | 1,131 | ±3 | 48,770 | — |
| 35 | ▼ 1 | zephyr-orpo-141b-A35b-v0.1開源HuggingFace | 1,130 | ±7 | 4,861 | — |
| 36 | ▼ 1 | qwen1.5-32b-chat開源Alibaba | 1,127 | ±4 | 22,767 | — |
| 37 | ▼ 1 | phi-3-medium-4k-instruct開源Microsoft | 1,118 | ±3 | 26,135 | — |
| 38 | ▼ 1 | internlm2_5-20b-chat開源InternLM | 1,116 | ±5 | 10,685 | — |
| 39 | ▼ 1 | mixtral-8x7b-instruct-v0.1開源Mistral | 1,114 | ±0 | 76,167 | — |
| 40 | — | gemma-2-2b-it開源Google | 1,113 | ±4 | 34,623 | — |
| 41 | ▼ 2 | dbrx-instruct-preview開源Databricks | 1,113 | ±3 | 33,753 | — |
| 42 | ▼ 1 | granite-3.0-8b-instruct開源IBM | 1,110 | ±8 | 7,072 | — |
| 43 | ▼ 1 | qwen1.5-14b-chat開源Alibaba | 1,107 | ±4 | 18,682 | — |
| 44 | ▼ 1 | wizardlm-70b開源Microsoft | 1,105 | ±6 | 8,386 | — |
| 45 | ▼ 1 | snowflake-arctic-instruct開源Snowflake | 1,103 | ±3 | 34,183 | — |
| 46 | ▼ 1 | yi-34b-chat開源01 AI | 1,101 | ±5 | 15,919 | — |
| 47 | ▼ 1 | openchat-3.5-0106開源OpenChat · 另有 1 個檔位 | 1,100 | ±5 | 12,983 | — |
| 48 | ▼ 1 | phi-3-small-8k-instruct開源Microsoft | 1,098 | ±4 | 18,506 | — |
| 49 | ▼ 1 | gemma-1.1-7b-it開源Google | 1,098 | ±3 | 25,092 | — |
| 50 | ▼ 1 | llama-3.2-3b-instruct開源Meta | 1,093 | ±7 | 8,434 | — |
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