模型排行
402 個模型 · 2 個榜單 · 2 個數據來源
人氣王座
開源之光
國產之光
最多人測
得分前三甲
o3-2025-04-16OpenAI1,449
chatgpt-4o-latest-20250326OpenAI1,440
gpt-4.5-preview-2025-02-27OpenAI1,434
開源前三甲
deepseek-r1-0528DeepSeek · 總第 5 名1,411
deepseek-v3-0324DeepSeek · 總第 9 名1,396
qwen3-235b-a22b-no-thinkingAlibaba · 總第 11 名1,395
這一期的變化
MiniMax M1 40k智力榜 · 第 12新上榜
| 排名 | 變化 | 模型 | 得分 | 置信區間 | 投票 | 價格 $/M |
|---|---|---|---|---|---|---|
| 1 | ▲ 1 | deepseek-r1-0528開源DeepSeek · 另有 1 個檔位 | 1,411 | ±7 | 8,423 | — |
| 2 | ▼ 1 | deepseek-v3-0324開源DeepSeek · 另有 1 個檔位 | 1,396 | ±4 | 17,365 | — |
| 3 | 新 | qwen3-235b-a22b-no-thinking開源Alibaba | 1,395 | ±6 | 7,837 | — |
| 4 | — | qwen3-235b-a22b開源Alibaba | 1,367 | ±5 | 11,429 | — |
| 5 | ▼ 2 | gemma-3-27b-it開源Google | 1,359 | ±3 | 22,300 | — |
| 6 | ▼ 1 | command-a-03-2025開源Cohere | 1,344 | ±4 | 21,092 | — |
| 7 | ▼ 1 | gemma-3-12b-it開源Google | 1,339 | ±8 | 3,976 | — |
| 8 | ▲ 4 | qwq-32b開源Alibaba · 另有 1 個檔位 | 1,335 | ±4 | 16,438 | — |
| 9 | ▼ 2 | llama-3.1-405b-instruct-bf16開源Meta | 1,332 | ±3 | 43,788 | — |
| 10 | ▼ 2 | llama-3.1-405b-instruct-fp8開源Meta | 1,330 | ±2 | 63,038 | — |
| 11 | ▼ 2 | llama-4-maverick-17b-128e-instruct開源Meta | 1,326 | ±5 | 14,164 | — |
| 12 | ▼ 2 | llama-3.3-nemotron-49b-super-v1開源NVIDIA | 1,324 | ±12 | 2,371 | — |
| 13 | ▼ 2 | deepseek-v2.5-1210開源DeepSeek · 另有 1 個檔位 | 1,318 | ±5 | 7,243 | — |
| 14 | ▼ 1 | llama-3.3-70b-instruct開源Meta | 1,312 | ±3 | 45,404 | — |
| 15 | ▼ 1 | mistral-large-2407開源Mistral · 另有 1 個檔位 | 1,310 | ±3 | 48,217 | — |
| 16 | ▼ 1 | qwen-max-0919開源Alibaba | 1,309 | ±3 | 17,432 | — |
| 17 | ▼ 1 | athene-v2-chat開源NexusFlow | 1,309 | ±4 | 26,074 | — |
| 18 | ▼ 1 | gemma-3n-e4b-it開源Google | 1,308 | ±8 | 3,913 | — |
| 19 | ▼ 1 | athene-70b-0725開源NexusFlow | 1,301 | ±3 | 20,580 | — |
| 20 | ▼ 1 | qwen2.5-72b-instruct開源Alibaba | 1,300 | ±3 | 41,519 | — |
| 21 | ▼ 1 | gemma-3-4b-it開源Google | 1,299 | ±8 | 4,321 | — |
| 22 | — | mistral-small-3.1-24b-instruct-2503開源Mistral | 1,295 | ±10 | 3,258 | — |
| 23 | ▼ 2 | llama-3.1-nemotron-70b-instruct開源NVIDIA | 1,294 | ±6 | 7,577 | — |
| 24 | ▼ 1 | llama-3.1-70b-instruct開源Meta | 1,291 | ±2 | 58,637 | — |
| 25 | ▼ 1 | llama-3.1-tulu-3-70b開源Ai2 | 1,287 | ±11 | 3,010 | — |
| 26 | ▼ 1 | gemma-2-27b-it開源Google | 1,285 | ±2 | 79,538 | — |
| 27 | ▼ 1 | jamba-1.5-large開源AI21 Labs | 1,283 | ±5 | 9,125 | — |
| 28 | ▼ 1 | llama-3.1-nemotron-51b-instruct開源NVIDIA | 1,282 | ±10 | 3,889 | — |
| 29 | ▼ 1 | gemma-2-9b-it-simpo開源Princeton | 1,277 | ±5 | 10,548 | — |
| 30 | ▼ 1 | command-r-plus-08-2024開源Cohere | 1,275 | ±5 | 10,535 | — |
| 31 | ▼ 1 | nemotron-4-340b-instruct開源NVIDIA | 1,274 | ±4 | 20,608 | — |
| 32 | ▼ 1 | llama-3-70b-instruct開源Meta | 1,273 | ±2 | 163,629 | — |
| 33 | ▼ 1 | mistral-small-24b-instruct-2501開源Mistral | 1,268 | ±4 | 15,321 | — |
| 34 | ▼ 1 | qwen2.5-coder-32b-instruct開源Alibaba | 1,268 | ±7 | 5,730 | — |
| 35 | ▼ 1 | c4ai-aya-expanse-32b開源Cohere | 1,263 | ±3 | 28,768 | — |
| 36 | ▼ 1 | command-r-plus開源Cohere | 1,261 | ±2 | 80,846 | — |
| 37 | ▼ 1 | deepseek-coder-v2開源DeepSeek | 1,260 | ±5 | 15,753 | — |
| 38 | ▼ 1 | qwen2-72b-instruct開源Alibaba | 1,258 | ±3 | 38,872 | — |
| 39 | ▼ 1 | gemma-2-9b-it開源Google | 1,258 | ±2 | 57,197 | — |
| 40 | ▼ 1 | phi-4開源Microsoft | 1,255 | ±3 | 25,213 | — |
| 41 | ▼ 1 | command-r-08-2024開源Cohere | 1,254 | ±5 | 10,851 | — |
| 42 | ▼ 1 | olmo-2-0325-32b-instruct開源Ai2 | 1,253 | ±9 | 3,460 | — |
| 43 | — | jamba-1.5-mini開源AI21 Labs | 1,238 | ±6 | 9,274 | — |
| 44 | ▼ 2 | ministral-8b-2410開源Mistral | 1,238 | ±7 | 5,111 | — |
| 45 | ▼ 1 | qwen1.5-110b-chat開源Alibaba | 1,233 | ±4 | 27,430 | — |
| 46 | ▼ 1 | c4ai-aya-expanse-8b開源Cohere | 1,228 | ±5 | 10,391 | — |
| 47 | ▼ 1 | mixtral-8x22b-instruct-v0.1開源Mistral | 1,227 | ±2 | 53,751 | — |
| 48 | ▼ 1 | qwen1.5-72b-chat開源Alibaba | 1,226 | ±3 | 40,658 | — |
| 49 | ▼ 1 | command-r開源Cohere | 1,226 | ±3 | 56,398 | — |
| 50 | ▼ 1 | llama-3.1-tulu-3-8b開源Ai2 | 1,225 | ±10 | 3,074 | — |
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