OPEN BENCHMARKS
AI 模型能力榜
用可追溯的開放評測資料比較語言、圖像、影片和語音模型。
模型對比
0/3從目前榜單選 2–3 個模型;僅並列相同來源、版本和軌道的實測指標。
| 排名 | 模型 | 得分 | 廠商 | 來源 |
|---|---|---|---|---|
| 1 | claude-fable-5-1-max-effort | 83.783 score | Anthropic | LiveBench |
| 2 | claude-fable-5-max-effort | 83.383 score | Anthropic | LiveBench |
| 3 | claude-opus-5-5-max-effort | 83.185 score | Anthropic | LiveBench |
| 4 | gpt-6-astra-max | 83.046 score | OpenAI | LiveBench |
| 5 | gpt-6.1-sol-max | 82.487 score | OpenAI | LiveBench |
| 6 | muse-spark-1.3-xhigh | 82.431 score | Unknown | LiveBench |
| 7 | claude-opus-5-5-xhigh-effort | 82.109 score | Anthropic | LiveBench |
| 8 | gpt-6.1-sol-xhigh | 81.827 score | OpenAI | LiveBench |
| 9 | gpt-5.6-sol-max | 81.647 score | OpenAI | LiveBench |
| 10 | deepseek-v4.1-flash-max | 81.447 score | DeepSeek | LiveBench |
| 11 | gpt-5.5-xhigh | 80.785 score | OpenAI | LiveBench |
| 12 | claude-opus-5-max-effort | 80.48 score | Anthropic | LiveBench |
| 13 | gemini-3.7-flash-high | 79.898 score | LiveBench | |
| 14 | gpt-6-sol-max | 79.825 score | OpenAI | LiveBench |
| 15 | smaug-agentic | 79.669 score | Unknown | LiveBench |
| 16 | qwen3.8-max | 79.496 score | Alibaba | LiveBench |
| 17 | kimi-k3 | 79.482 score | Moonshot AI | LiveBench |
| 18 | grok-4.6 | 79.002 score | xAI | LiveBench |
| 19 | muse-spark-1.2-xhigh | 78.915 score | Unknown | LiveBench |
| 20 | gpt-5.4-xhigh | 78.798 score | OpenAI | LiveBench |
| 21 | gpt-5.6-terra-max | 78.634 score | OpenAI | LiveBench |
| 22 | grok-4.7-xhigh | 78.338 score | xAI | LiveBench |
| 23 | claude-sonnet-5-5-xhigh-effort | 78.174 score | Anthropic | LiveBench |
| 24 | deepseek-v4-pro-0813 | 78.158 score | DeepSeek | LiveBench |
| 25 | smaug-flash | 78.026 score | Unknown | LiveBench |
| 26 | gemini-3.1-pro-preview-high | 77.986 score | LiveBench | |
| 27 | deepseek-v4-flash-vision-exp | 77.734 score | DeepSeek | LiveBench |
| 28 | smaug-mini | 77.678 score | Unknown | LiveBench |
| 29 | gemini-3.8-flash-high | 77.486 score | LiveBench | |
| 30 | qwen3.8-flash-next | 77.297 score | Alibaba | LiveBench |
| 31 | claude-opus-4-8-max-effort | 77.149 score | Anthropic | LiveBench |
| 32 | grok-4.5 | 77.051 score | xAI | LiveBench |
| 33 | claude-opus-4-7-xhigh-effort | 77.035 score | Anthropic | LiveBench |
| 34 | glm-5.3 | 76.65 score | Unknown | LiveBench |
| 35 | claude-sonnet-5-xhigh-effort | 76.593 score | Anthropic | LiveBench |
| 36 | muse-spark-1.1-xhigh | 76.028 score | Unknown | LiveBench |
| 37 | qwen3.8-27b | 75.82 score | Alibaba | LiveBench |
| 38 | claude-sonnet-5-5-max-effort | 75.752 score | Anthropic | LiveBench |
| 39 | gemini-3.5-flash-high | 75.437 score | LiveBench | |
| 40 | gpt-5.2-2025-12-11-high | 75.192 score | OpenAI | LiveBench |
| 41 | claude-opus-4-6-thinking-auto-high-effort | 75.132 score | Anthropic | LiveBench |
| 42 | deepseek-v4-flash-0731 | 74.85 score | DeepSeek | LiveBench |
| 43 | gemini-3.6-flash-high | 74.539 score | LiveBench | |
| 44 | qwen3.7-max | 74.099 score | Alibaba | LiveBench |
| 45 | gpt-5.2-codex | 74.034 score | OpenAI | LiveBench |
| 46 | gpt-5.6-luna-max | 73.687 score | OpenAI | LiveBench |
| 47 | claude-sonnet-4-6-thinking-auto-medium-effort | 73.413 score | Anthropic | LiveBench |
| 48 | glm-5.2 | 73.363 score | Unknown | LiveBench |
| 49 | claude-opus-4-5-20251101-thinking-64k-high-effort | 72.939 score | Anthropic | LiveBench |
| 50 | inkling-xhigh | 72.876 score | Unknown | LiveBench |
| 51 | deepseek-v4-pro | 72.554 score | DeepSeek | LiveBench |
| 52 | gpt-6-luna-max | 72.193 score | OpenAI | LiveBench |
| 53 | glm-5.3-flash | 71.138 score | Unknown | LiveBench |
| 54 | kimi-k2.6-thinking | 70.902 score | Moonshot AI | LiveBench |
| 55 | gpt-5.4-nano-xhigh | 70.85 score | OpenAI | LiveBench |
| 56 | ox-alpha-max | 69.242 score | Unknown | LiveBench |
| 57 | qwen3.6-plus | 68.989 score | Alibaba | LiveBench |
| 58 | kimi-k2.7-code | 68.756 score | Moonshot AI | LiveBench |
| 59 | nemotron-3-ultra-550b-a55b | 68.723 score | Unknown | LiveBench |
| 60 | grok-build-0.1 | 68.61 score | xAI | LiveBench |
| 61 | minimax-m3 | 67.527 score | Unknown | LiveBench |
| 62 | gpt-5.4-mini-xhigh | 66.601 score | OpenAI | LiveBench |
| 63 | deepseek-v4-flash | 66.054 score | DeepSeek | LiveBench |
| 64 | qwen3.6-27b | 64.181 score | Alibaba | LiveBench |
| 65 | gemini-3.5-flash-lite-high | 63.816 score | LiveBench | |
| 66 | grok-4.3 | 63.268 score | xAI | LiveBench |
沒有符合且已測量的模型。
EXTERNAL REFERENCE
Artificial Analysis 補充參考
評測分數以外,也可按這些面向比較模型。前往官方頁面查看即時資料。
- 智慧指數綜合多項獨立評測;指數越高,整體表現越好。
- 程式設計 Agent比較端到端軟體任務的完成表現、費用與耗時。
- 產業能力查看金融、法律、醫療、工程等專業情境的專項指數。
- 速度與延遲區分輸出 Token/秒、首個 Token 等待與完整回應時間。
- 價格與任務成本區分每百萬 Token 單價與完成一項評測任務的費用。
- 上下文與 Token 用量同時查看上下文視窗與完成任務所用輸出 Token。
- 開放程度區分開放權重、使用限制與模型透明度。
- 多語言能力按語言查看獨立的多語言指數;它不計入以英文文字為主的智慧指數。
- 長文件推理用 AA-LCR 檢驗跨長文件檢索與推理;視窗大不代表讀得準。
- API 供應商比較同一模型在不同託管端點的價格、輸出速度與首次回應延遲。
- 知識工作評測查看 AA-Briefcase 對試算表、簡報和備忘錄等交付任務的完成表現、分析品質與呈現品質。
- 發布版比較並排比較模型發布版及不同推理設定的能力、費用、速度與上下文。
- 模型推薦器依能力、速度和成本的優先順序取得官方模型建議。
來源與方法
LiveBench資料較舊
- 版本
- 2026-06-25
- 授權
- Apache-2.0
- 更新時間
- 2026-06-25T00:00:00.000Z