AI编程能力排行榜
本榜收录编程开发(code)维度在榜的 100 个模型,按 Elo 得分降序排列,当前榜首为 Claude Opus 5.5 (Max)(Anthropic),得分 1814.3。该维度的对战题目以代码生成、调试与工程实现为主,反映模型在真实编码任务上的相对胜率,适合作为选择编程助手、IDE 插件或代码 Agent 的参考依据之一。
编程开发 · 完整榜单(100 个模型)
按 Elo 得分降序| 筛选排名 | 排名 | 模型 | 厂商 / 国家 | Elo 得分 | 置信区间 | 投票数 |
|---|---|---|---|---|---|---|
| 1 | Claude Opus 5.5 (Max) |
Anthropic
|
1814.3 | ±11.9 | 4,132 | |
| 2 | Claude Sonnet 5.5 (xHigh) |
Anthropic
|
1772.0 | ±10.2 | 5,648 | |
| 3 | GPT 6 Astra (Max) |
OpenAI
|
1769.8 | ±8.8 | 8,364 | |
| 4 | Gemini 4 Carbon (High) |
Google
|
1767.2 | ±14.9 | 2,240 | |
| 5 | Claude Fable 5.1 (Max) |
Anthropic
|
1745.7 | ±8.1 | 9,764 | |
| 6 | GPT 6.1 Sol (Max) |
OpenAI
|
1741.8 | ±10.1 | 5,342 | |
| 7 | Muse Wonder Full (Max) |
Meta
|
1726.0 | ±13.8 | 2,280 | |
| 8 | Claude Sonnet 5.5 (High) |
Anthropic
|
1711.2 | ±8.5 | 7,777 | |
| 9 | Claude Opus 5 (Max) |
Anthropic
|
1691.3 | ±6.0 | 20,288 | |
| 10 | Kimi K3.1 Pro (Max) |
Moonshot
|
1683.9 | ±10.0 | 4,595 | |
| 11 | Gemini 4 Argon (High) |
Google
|
1682.7 | ±10.0 | 4,702 | |
| 12 | GPT-6.1 Terra (Max) |
OpenAI
|
1679.8 | ±11.2 | 3,603 | |
| 13 | Qwen3.8-Max (0902) |
Alibaba
|
1677.1 | ±6.3 | 22,197 | |
| 14 | GPT 6 Sol (Max) |
OpenAI
|
1674.4 | ±8.5 | 7,096 | |
| 15 | Qwen3.8 Max |
Alibaba
|
1671.4 | ±12.0 | 3,438 | |
| 16 | DeepSeek-V4.1-Flash-20261017 (Max) |
DeepSeek
|
1665.1 | ±6.8 | 13,670 | |
| 17 | Claude Opus 5 (High) |
Anthropic
|
1657.4 | ±5.2 | 28,036 | |
| 18 | Kimi K3 (Max) |
Moonshot
|
1656.5 | ±5.7 | 22,846 | |
| 19 | Muse Spark 1.3 (Max) |
Meta
|
1653.6 | ±7.1 | 12,103 | |
| 20 | Muse Wonder (Max) |
Meta
|
1649.5 | ±9.7 | 5,018 | |
| 21 | Inkling 2 Small |
Thinky
|
1647.8 | ±21.1 | 831 | |
| 22 | Grok 4.7 (xHigh) |
SpaceXAI
|
1638.3 | ±8.0 | 8,077 | |
| 23 | MiMo V2.6 Flash |
Xiaomi
|
1636.3 | ±7.7 | 8,904 | |
| 24 | Hy4 preview |
Tencent
|
1631.3 | ±9.6 | 4,781 | |
| 25 | Qwen3.8 Flash Next |
Alibaba
|
1625.1 | ±7.2 | 11,274 | |
| 26 | Claude Fable 5 (High) |
Anthropic
|
1625.0 | ±5.9 | 17,608 | |
| 27 | MiMo V2.6 Pro |
Xiaomi
|
1623.5 | ±7.7 | 8,647 | |
| 28 | GLM-5.3 (Max) |
Z.ai
|
1620.7 | ±6.9 | 12,658 | |
| 29 | DeepSeek-V4.1-Flash-20260910 (Max) |
DeepSeek
|
1619.1 | ±10.9 | 3,520 | |
| 30 | muse-spark-1.3 (xHigh) |
Meta
|
1618.1 | ±7.1 | 11,618 | |
| 31 | Grok 4.6 (High) |
SpaceXAI
|
1617.4 | ±6.9 | 12,771 | |
| 32 | gpt-5.6-sol-xhigh (codex-harness) |
OpenAI
|
1615.0 | ±5.7 | 19,560 | |
| 33 | GLM 5.3 Flash |
Z.ai
|
1606.6 | ±6.1 | 24,186 | |
| 34 | GLM 5.2 (Max) |
Z.ai
|
1606.4 | ±5.8 | 18,533 | |
| 35 | Claude Haiku 5.5 (High) |
Anthropic
|
1592.4 | ±8.6 | 6,349 | |
| 36 | Qwen3.8 27B |
Alibaba
|
1590.5 | ±6.1 | 21,065 | |
| 37 | Gemini 3.7 Flash (High) |
Google
|
1588.5 | ±6.4 | 15,326 | |
| 38 | Gemini 3.8 Flash (High) |
Google
|
1583.0 | ±6.7 | 13,983 | |
| 39 | MiniMax M3.1 Flash |
MiniMax
|
1582.0 | ±9.8 | 4,601 | |
| 40 | DeepSeek-V4-Flash (High) |
DeepSeek
|
1581.7 | ±9.3 | 4,940 | |
| 41 | DeepSeek-V4-Pro (High, 20260813) |
DeepSeek
|
1581.6 | ±9.5 | 4,713 | |
| 42 | GPT-6 Luna (Max) |
OpenAI
|
1578.3 | ±5.8 | 31,727 | |
| 43 | Step 5 Preview (High) |
StepFun
|
1572.0 | ±8.2 | 7,465 | |
| 44 | Mistral Large 4 |
Mistral
|
1560.4 | ±17.5 | 1,300 | |
| 45 | Claude Opus 4.7 (High) |
Anthropic
|
1557.3 | ±5.8 | 17,953 | |
| 46 | Claude Opus 4.8 (High) |
Anthropic
|
1555.9 | ±5.7 | 18,507 | |
| 47 | Claude Opus 4.7 |
Anthropic
|
1555.3 | ±5.6 | 18,289 | |
| 48 | Grok 4.5 |
SpaceXAI
|
1552.6 | ±6.7 | 11,076 | |
| 49 | Claude Opus 4.6 (High) |
Anthropic
|
1546 | ±5.5 | 19,426 | |
| 50 | Muse Spark 1.1 |
Meta
|
1541.8 | ±7.6 | 7,989 | |
| 51 | Claude Sonnet 5 (High) |
Anthropic
|
1539.1 | ±5.7 | 17,408 | |
| 52 | Claude Opus 4.6 |
Anthropic
|
1537.1 | ±5.3 | 20,709 | |
| 53 | Gemini 3.6 Flash (High) |
Google
|
1537.0 | ±7.5 | 8,749 | |
| 54 | Claude Opus 4.8 |
Anthropic
|
1535.7 | ±5.7 | 17,410 | |
| 55 | Muse Spark 1.2 (xHigh) |
Meta
|
1533.6 | ±13.6 | 2,163 | |
| 56 | Muse Spark Open (Max) |
Meta
|
1526.1 | ±14.3 | 1,986 | |
| 57 | Claude Sonnet 4.6 |
Anthropic
|
1522.2 | ±5.2 | 22,893 | |
| 58 | gpt-5.6-terra-xhigh (codex-harness) |
OpenAI
|
1520.9 | ±6 | 16,177 | |
| 59 | Seed2.1 Pro Preview |
Bytedance
|
1518.7 | ±5.6 | 17,773 | |
| 60 | gpt-5.6-luna-xhigh (codex-harness) |
OpenAI
|
1518.7 | ±6.4 | 12,571 | |
| 61 | Qwen3.7-Max (20260517) |
Alibaba
|
1515.6 | ±7.4 | 8,892 | |
| 62 | gpt-5.5-xhigh (codex-harness) |
OpenAI
|
1512.6 | ±6.0 | 15,687 | |
| 63 | Kimi K2.6 |
Moonshot
|
1509.1 | ±7.2 | 10,161 | |
| 64 | GLM 5.1 |
Z.ai
|
1507.8 | ±6.8 | 10,724 | |
| 65 | Hy3 |
Tencent
|
1505.2 | ±7.8 | 7,434 | |
| 66 | Gemini 3.5 Flash (High) |
Google
|
1499.1 | ±7.3 | 9,398 | |
| 67 | Claude Opus 4.5 (High, 32K, 20251101) |
Anthropic
|
1493.7 | ±8.3 | 11,037 | |
| 68 | Gemini 3.5 Flash (Medium) |
Google
|
1489.8 | ±6.7 | 12,152 | |
| 69 | gpt-5.5-high (codex-harness) |
OpenAI
|
1487.0 | ±5.9 | 17,994 | |
| 70 | MiniMax M3 |
MiniMax
|
1484.1 | ±5.4 | 21,776 | |
| 71 | Qwen3.6 Max Preview |
Alibaba
|
1481.9 | ±12.5 | 2,716 | |
| 72 | Spark X2.6 |
Synlan
|
1481.4 | ±18.8 | 1,245 | |
| 73 | MiMo V2.5 Pro |
Xiaomi
|
1480.1 | ±5.2 | 22,757 | |
| 74 | Kimi K2.7 Code |
Moonshot
|
1473.5 | ±9.4 | 4,979 | |
| 75 | Claude Opus 4.5 (20251101) |
Anthropic
|
1468.9 | ±7.2 | 13,422 | |
| 76 | DeepSeek-V4-Pro Preview (High) |
DeepSeek
|
1464.3 | ±6.3 | 13,169 | |
| 77 | gpt-5.4-high (codex-harness) |
OpenAI
|
1463.0 | ±18.9 | 1,348 | |
| 78 | Qwen3.6 Plus |
Alibaba
|
1461.2 | ±5.6 | 18,588 | |
| 79 | gpt-5.5 (codex-harness) |
OpenAI
|
1456.3 | ±5.9 | 15,930 | |
| 80 | DeepSeek V4 Pro |
DeepSeek
|
1447.2 | ±6.3 | 14,007 | |
| 81 | Gemini 3.1 Pro Preview |
Google
|
1446.5 | ±5.1 | 24,255 | |
| 82 | gpt-5.4-medium (codex-harness) |
OpenAI
|
1443.0 | ±18.3 | 1,377 | |
| 83 | Gemini 3 Pro |
Google
|
1440.0 | ±8.5 | 14,105 | |
| 84 | Gemini 3 Flash |
Google
|
1439.9 | ±8.6 | 10,897 | |
| 85 | MiMo V2.5 |
Xiaomi
|
1437.9 | ±6.0 | 14,937 | |
| 86 | Beam 1.0 501B A23B |
Reflection
|
1437.0 | ±12.7 | 2,960 | |
| 87 | Kimi K2.5 (Thinking) |
Moonshot
|
1436.0 | ±5.2 | 20,097 | |
| 88 | GLM 5 |
Z.ai
|
1435.2 | ±8.2 | 7,493 | |
| 89 | GLM 4.7 |
Z.ai
|
1435.2 | ±12.0 | 4,010 | |
| 90 | Gemini 3.5 Flash-Lite |
Google
|
1434.0 | ±40.9 | 237 | |
| 91 | MiMo V2 Pro |
Xiaomi
|
1433.9 | ±8.2 | 7,248 | |
| 92 | DeepSeek-V4-Flash Preview (High) |
DeepSeek
|
1430.4 | ±7.0 | 10,125 | |
| 93 | GPT-5 (Medium) |
OpenAI
|
1417.3 | ±15.6 | 3,092 | |
| 94 | GPT 5.2 |
OpenAI
|
1416.7 | ±22.6 | 1,081 | |
| 95 | Inkling |
Thinky
|
1414.6 | ±5.9 | 17,828 | |
| 96 | Inkling Small |
Thinky
|
1407.6 | ±9.1 | 5,350 | |
| 97 | gpt-5.3-codex (codex-harness) |
OpenAI
|
1406.6 | ±13.7 | 2,647 | |
| 98 | Kimi K2.5 (Instant) |
Moonshot
|
1405.3 | ±12.1 | 3,262 | |
| 99 | GLM-5v Turbo |
Z.ai
|
1400.6 | ±13.2 | 2,405 | |
| 100 | GPT 5.4 |
OpenAI
|
1400.2 | ±9.6 | 4,865 |
11 个能力维度速览
每个维度独立成榜、独立收录,下为该维度当前榜首与在榜模型数,点击可直达。
本榜国家与厂商分布
编程开发维度:100 个模型,来自 18 家厂商(按数量列前 8 家)
本维度在榜 100 个模型,来自 18 家厂商,厂商分布较分散,数量最多的 Anthropic 也只占 18%。国家分布上,中国厂商 41 席、美国厂商 56 席;中国厂商占本维度 41%,高于全部 11 个维度的整体水平(32%)。榜首 Claude Opus 5.5 (Max)(Anthropic)得分 1814.3,领先第 2 名 42 分;其中 24 个模型置信区间在 ±11 以上(对战样本偏少),名次仍有变动空间。
榜单说明
排序依据:按 Elo 得分降序。得分由真实用户在不知模型身份的前提下对两组回答二选一(盲评对战),经 Elo 算法累积计算, 代表相对胜率而非绝对能力值。置信区间越小表示对战样本越充足;投票数为该模型的累计有效对战场次。 不同维度之间的分数不可横向比较(例如编程维度榜首约 1800 分、文本对话维度榜首约 1506 分,并不代表编程模型更强)。 国家标识依据模型归属厂商判定,同一厂商的多个版本归为同一国家。 数据来源:arena-ai-leaderboards 公开接口,最近抓取时间 2026-11-08 00:25:10,本站每日抓取快照并留存历史。 榜单仅反映真实用户偏好,不构成技术评测结论。 相关榜单:社区榜单(工具热度榜与开源模型下载榜)、 模型库(按厂商 / 参数 / 下载量筛选)。
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