中文大模型能力榜
📊 全部数据 · 总览按 LMArena 中文竞技场(Chinese Arena)的真人中文盲测对战评分,排出大模型在中文场景的能力高下。它只统计中文对话里的偏好胜负,和上方「总榜」(以英文为主)可能明显不同——国产模型在这里通常更靠前。评分反映偏好、非绝对能力,头部分差常落在置信区间内(见下表),宜看作近似并列。数据归因 LMArena,不构成投资或采购建议。榜单发布于 2026-10-15
| 排名 | 模型 | 机构 | Arena 分 | 置信区间 | 投票数 |
|---|---|---|---|---|---|
| 1 | Gemini 4 Argon (High) | 1608 | ±31 | 363 | |
| 2 | Claude Fable 5.1 (Max) | anthropic | 1586 | ±18 | 1.1K |
| 3 | Claude Opus 5.5 (High) | anthropic | 1584 | ±22 | 767 |
| 4 | Claude Opus 5 (Max) | anthropic | 1573 | ±13 | 2.6K |
| 5 | Claude Opus 5 (High) | anthropic | 1568 | ±9 | 5.3K |
| 6 | Gemini 3.7 Flash (High) | 1551 | ±14 | 2.1K | |
| 7 | Gemini 3.8 Flash (High) | 1551 | ±12 | 3.1K | |
| 8 | Claude Opus 4.6 (High) | anthropic | 1550 | ±9 | 5.6K |
| 9 | Claude Opus 4.6 | anthropic | 1548 | ±9 | 5.9K |
| 10 | Claude Fable 5 (High) | anthropic | 1542 | ±11 | 3.1K |
| 11 | Muse Wonder (Max) | meta | 1540 | ±36 | 248 |
| 12 | claude-sonnet-5.5-xhigh | anthropic | 1537 | ±25 | 553 |
| 13 | qwen3.8-max | alibaba | 1536 | ±14 | 2.1K |
| 14 | gpt-5.5 | openai | 1533 | ±10 | 4.5K |
| 15 | qwen3.5-max-preview | alibaba | 1533 | ±15 | 1.6K |
| 16 | Claude Opus 4.7 (High) | anthropic | 1532 | ±10 | 4.2K |
| 17 | Claude Opus 4.7 | anthropic | 1531 | ±10 | 4.1K |
| 18 | gemini-3.6-flash-high | 1530 | ±12 | 2.7K | |
| 19 | qwen3.7-max-preview | alibaba | 1530 | ±34 | 317 |
| 20 | glm-5.3-max | zai | 1529 | ±15 | 1.7K |
| 21 | Muse Spark 1.3 (Max) | meta | 1528 | ±16 | 1.4K |
| 22 | Kimi K3 (Max) | moonshot | 1528 | ±13 | 2.4K |
| 23 | mimo-v2.6-pro | xiaomi | 1528 | ±33 | 299 |
| 24 | glm-5.3-flash | zai | 1528 | ±12 | 2.5K |
| 25 | Gemini 3.1 Pro Preview | 1528 | ±7 | 8.8K | |
| 26 | gpt-5.6-sol-xhigh | openai | 1527 | ±11 | 3.1K |
| 27 | gemini-3.5-flash-medium | 1526 | ±11 | 3.4K | |
| 28 | gemini-3.5-flash-high | 1525 | ±11 | 3.6K | |
| 29 | gpt-5.5-high | openai | 1525 | ±10 | 4.5K |
| 30 | Gemini 3 Pro | 1523 | ±10 | 3.5K | |
| 31 | kimi-k2.6 | moonshot | 1521 | ±13 | 2.3K |
| 32 | glm-5.2-max | zai | 1520 | ±10 | 3.6K |
| 33 | gpt-5.4-high | openai | 1518 | ±10 | 4.1K |
| 34 | Muse Spark 1.1 | meta | 1516 | ±11 | 3.4K |
| 35 | gpt-5.6-terra-xhigh | openai | 1515 | ±11 | 3.4K |
| 36 | glm-5.1 | zai | 1514 | ±10 | 4.4K |
| 37 | mimo-v2.6-flash | xiaomi | 1513 | ±20 | 871 |
| 38 | ernie-5.0-preview-1022 | baidu | 1512 | ±30 | 390 |
| 39 | gemini-3-flash | 1511 | ±12 | 2.5K | |
| 40 | glm-5 | zai | 1511 | ±13 | 2.0K |
| 41 | qwen3.7-plus | alibaba | 1510 | ±12 | 2.7K |
| 42 | Muse Spark 1.2 (xHigh) | meta | 1509 | ±23 | 717 |
| 43 | gpt-5.4 | openai | 1508 | ±10 | 4.4K |
| 44 | Step 5 Preview | stepfun | 1508 | ±24 | 573 |
| 45 | Muse Spark | meta | 1508 | ±20 | 976 |
| 46 | gemini-2.5-pro | 1507 | ±7 | 9.3K | |
| 47 | ernie-5.1 | baidu | 1507 | ±13 | 2.1K |
| 48 | mimo-v2.5-pro | xiaomi | 1507 | ±9 | 4.9K |
| 49 | claude-opus-4-8 | anthropic | 1507 | ±10 | 4.4K |
| 50 | claude-opus-4-8-high | anthropic | 1507 | ±10 | 4.4K |
| 51 | deepseek-v4.1-flash-max | deepseek | 1503 | ±19 | 973 |
| 52 | qwen3.8-27b | alibaba | 1502 | ±14 | 1.7K |
| 53 | ernie-5.0-preview-1203 | baidu | 1501 | ±21 | 830 |
| 54 | glm-4.6 | zai | 1499 | ±11 | 2.7K |
| 55 | qwen3.5-397b-a17b | alibaba | 1499 | ±8 | 6.5K |
| 56 | nvidia-nemotron-3-ultra-550b-a55b-nvfp4 | nvidia | 1497 | ±22 | 727 |
| 57 | gemma-4-26b-a4b | 1495 | ±25 | 524 | |
| 58 | glm-4.7 | zai | 1495 | ±18 | 1.0K |
| 59 | gpt-5.1-high | openai | 1495 | ±10 | 3.4K |
| 60 | grok-4.5 | xai | 1495 | ±11 | 3.1K |
| 61 | gpt-6.1-sol-max | openai | 1495 | ±25 | 575 |
| 62 | kimi-k2.5-thinking | moonshot | 1495 | ±9 | 4.6K |
| 63 | gpt-6-astra-max | openai | 1493 | ±19 | 917 |
| 64 | ernie-5.0-0110 | baidu | 1492 | ±12 | 2.5K |
| 65 | mistral-large-4 | mistral | 1492 | ±23 | 658 |
| 66 | inkling | thinky | 1492 | ±11 | 3.2K |
| 67 | claude-sonnet-4-6 | anthropic | 1492 | ±9 | 4.5K |
| 68 | glm-5v-turbo | zai | 1491 | ±21 | 769 |
| 69 | dola-seed-2.0-pro | bytedance | 1489 | ±9 | 5.3K |
| 70 | qwen3.6-max-preview | alibaba | 1488 | ±31 | 357 |
| 71 | hy3 | tencent | 1487 | ±20 | 928 |
| 72 | deepseek-v4-pro-high-preview | deepseek | 1486 | ±11 | 3.3K |
| 73 | qwen3-235b-a22b-thinking-2507 | alibaba | 1481 | ±26 | 536 |
| 74 | deepseek-v4-pro | deepseek | 1481 | ±11 | 3.4K |
| 75 | grok-4.20-beta-0309-reasoning | xai | 1480 | ±10 | 4.2K |
| 76 | deepseek-v4-pro-high-20260813 | deepseek | 1480 | ±22 | 705 |
| 77 | qwen3-max-preview | alibaba | 1478 | ±13 | 2.1K |
| 78 | qwen3.5-27b | alibaba | 1478 | ±13 | 2.1K |
| 79 | claude-sonnet-5-high | anthropic | 1478 | ±10 | 3.8K |
| 80 | gemini-3-flash (thinking-minimal) | 1477 | ±8 | 6.0K | |
| 81 | grok-4.20-beta1 | xai | 1476 | ±15 | 1.7K |
| 82 | qwen3.6-plus | alibaba | 1476 | ±12 | 2.7K |
| 83 | gemma-4-31b | 1475 | ±25 | 522 | |
| 84 | grok-4.6-high | xai | 1475 | ±13 | 2.3K |
| 85 | grok-4.20-multi-agent-beta-0309 | xai | 1475 | ±10 | 4.0K |
| 86 | claude-opus-4-5-20251101 | anthropic | 1470 | ±8 | 5.4K |
| 87 | gpt-5.6-luna-xhigh | openai | 1469 | ±11 | 3.2K |
| 88 | deepseek-v3.1-thinking | deepseek | 1469 | ±18 | 1.1K |
| 89 | mimo-v2.5 | xiaomi | 1468 | ±12 | 2.6K |
| 90 | deepseek-v4-flash-high-preview | deepseek | 1468 | ±11 | 3.0K |
| 91 | mimo-v2-omni | xiaomi | 1468 | ±19 | 1.0K |
| 92 | minimax-m3 | minimax | 1467 | ±10 | 4.1K |
| 93 | gemini-3.5-flash-lite | 1467 | ±12 | 2.8K | |
| 94 | claude-opus-4-5-20251101-high-32k | anthropic | 1467 | ±11 | 3.0K |
| 95 | gpt-5.1 | openai | 1466 | ±10 | 3.6K |
| 96 | glm-4.5 | zai | 1465 | ±14 | 1.8K |
| 97 | qwen3-235b-a22b-instruct-2507 | alibaba | 1465 | ±7 | 7.3K |
| 98 | grok-4.1 | xai | 1464 | ±9 | 5.3K |
| 99 | amazon-nova-experimental-chat-26-02-10 | amazon | 1464 | ±32 | 316 |
| 100 | longcat-flash-chat-2602-exp | meituan | 1464 | ±14 | 2.0K |
能力评分数据来自 LMArena(原 LMSYS Chatbot Arena)公开发布的排行榜数据集「中文(chinese)」切片,许可 CC-BY-4.0,本站署名引用、未作修改。 Arena 分由真人匿名中文盲测对战经统计模型(Bradley-Terry)估算,反映相对偏好、非绝对能力,可能滞后或随样本波动,仅供参考。 本栏目仅作信息整理,不构成任何投资或采购建议。本站不自建评测跑分。榜单发布于 2026-10-15。