模型排行
140 個模型 · 1 個榜單 · 1 個數據來源
人氣王座
開源之光
國產之光
最多人測
開源前三甲
llama-3.1-405b-instruct-fp8Meta · 總第 7 名1,252
llama-3.1-405b-instruct-bf16Meta · 總第 8 名1,252
athene-v2-chatNexusFlow · 總第 18 名1,233
| 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 | 1,252 | ±3 | 57,468 | — |
| 2 | — | llama-3.1-405b-instruct-bf16開源Meta | 1,252 | ±5 | 14,541 | — |
| 3 | — | athene-v2-chat開源NexusFlow | 1,233 | ±5 | 8,700 | — |
| 4 | — | mistral-large-2407開源Mistral · 另有 1 個檔位 | 1,231 | ±3 | 48,382 | — |
| 5 | — | qwen-max-0919開源Alibaba | 1,231 | ±4 | 17,587 | — |
| 6 | — | deepseek-v2.5開源DeepSeek | 1,225 | ±3 | 26,517 | — |
| 7 | ▲ 1 | qwen2.5-72b-instruct開源Alibaba | 1,223 | ±4 | 31,639 | — |
| 8 | ▼ 1 | athene-70b-0725開源NexusFlow | 1,222 | ±4 | 20,660 | — |
| 9 | — | llama-3.1-nemotron-70b-instruct開源NVIDIA | 1,215 | ±6 | 7,676 | — |
| 10 | — | llama-3.1-70b-instruct開源Meta | 1,213 | ±3 | 53,577 | — |
| 11 | — | gemma-2-27b-it開源Google | 1,206 | ±3 | 63,043 | — |
| 12 | — | jamba-1.5-large開源AI21 Labs | 1,204 | ±6 | 9,146 | — |
| 13 | — | llama-3.1-nemotron-51b-instruct開源NVIDIA | 1,204 | ±9 | 3,925 | — |
| 14 | — | gemma-2-9b-it-simpo開源Princeton | 1,199 | ±6 | 10,566 | — |
| 15 | — | command-r-plus-08-2024開源Cohere | 1,197 | ±5 | 10,572 | — |
| 16 | — | nemotron-4-340b-instruct開源NVIDIA | 1,196 | ±4 | 20,643 | — |
| 17 | — | llama-3-70b-instruct開源Meta | 1,195 | ±2 | 163,890 | — |
| 18 | — | qwen2.5-coder-32b-instruct開源Alibaba | 1,189 | ±7 | 5,755 | — |
| 19 | ▲ 1 | c4ai-aya-expanse-32b開源Cohere | 1,183 | ±5 | 18,402 | — |
| 20 | ▼ 1 | command-r-plus開源Cohere | 1,183 | ±2 | 80,924 | — |
| 21 | — | deepseek-coder-v2開源DeepSeek | 1,182 | ±5 | 15,786 | — |
| 22 | — | qwen2-72b-instruct開源Alibaba | 1,181 | ±4 | 38,960 | — |
| 23 | — | gemma-2-9b-it開源Google | 1,178 | ±3 | 43,844 | — |
| 24 | — | command-r-08-2024開源Cohere | 1,176 | ±5 | 10,877 | — |
| 25 | — | ministral-8b-2410開源Mistral | 1,160 | ±8 | 5,155 | — |
| 26 | — | jamba-1.5-mini開源AI21 Labs | 1,159 | ±5 | 9,284 | — |
| 27 | — | qwen1.5-110b-chat開源Alibaba | 1,156 | ±4 | 27,479 | — |
| 28 | — | mixtral-8x22b-instruct-v0.1開源Mistral | 1,149 | ±3 | 53,847 | — |
| 29 | — | qwen1.5-72b-chat開源Alibaba | 1,148 | ±3 | 40,648 | — |
| 30 | — | command-r開源Cohere | 1,148 | ±3 | 56,396 | — |
| 31 | — | llama-3-8b-instruct開源Meta | 1,142 | ±2 | 109,328 | — |
| 32 | ▲ 1 | yi-1.5-34b-chat開源01 AI | 1,133 | ±3 | 25,160 | — |
| 33 | ▲ 1 | llama-3.1-8b-instruct開源Meta | 1,132 | ±3 | 49,572 | — |
| 34 | ▲ 1 | zephyr-orpo-141b-A35b-v0.1開源HuggingFace | 1,130 | ±6 | 4,862 | — |
| 35 | ▲ 1 | qwen1.5-32b-chat開源Alibaba | 1,127 | ±4 | 22,766 | — |
| 36 | ▲ 1 | phi-3-medium-4k-instruct開源Microsoft | 1,118 | ±4 | 26,134 | — |
| 37 | ▲ 1 | internlm2_5-20b-chat開源InternLM | 1,116 | ±6 | 10,680 | — |
| 38 | ▲ 1 | mixtral-8x7b-instruct-v0.1開源Mistral | 1,114 | ±0 | 76,170 | — |
| 39 | ▲ 1 | gemma-2-2b-it開源Google | 1,114 | ±4 | 35,365 | — |
| 40 | ▲ 1 | dbrx-instruct-preview開源Databricks | 1,113 | ±3 | 33,753 | — |
| 41 | ▲ 1 | granite-3.0-8b-instruct開源IBM | 1,110 | ±9 | 7,069 | — |
| 42 | ▲ 1 | qwen1.5-14b-chat開源Alibaba | 1,107 | ±4 | 18,683 | — |
| 43 | ▲ 1 | wizardlm-70b開源Microsoft | 1,105 | ±6 | 8,382 | — |
| 44 | ▲ 1 | snowflake-arctic-instruct開源Snowflake | 1,102 | ±4 | 34,185 | — |
| 45 | ▲ 1 | yi-34b-chat開源01 AI | 1,101 | ±5 | 15,920 | — |
| 46 | ▲ 1 | openchat-3.5-0106開源OpenChat · 另有 1 個檔位 | 1,101 | ±5 | 12,991 | — |
| 47 | ▲ 2 | gemma-1.1-7b-it開源Google | 1,098 | ±3 | 25,093 | — |
| 48 | — | phi-3-small-8k-instruct開源Microsoft | 1,098 | ±4 | 18,501 | — |
| 49 | ▲ 1 | llama-3.2-3b-instruct開源Meta | 1,094 | ±5 | 8,435 | — |
| 50 | ▲ 1 | tulu-2-dpo-70b開源AllenAI/UW | 1,092 | ±7 | 6,664 | — |
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