7 个 AI 模型榜单怎么看：最新排名与用途
AI 模型没有一个万能分数。有人擅长聊天，有人擅长写代码，还有人能操作软件完成长任务。下面这 7 个榜单，正好从不同角度看模型能力。
排名采集于 2026 年 9 月 2 日。榜单更新很快，分数只适合比较同一榜单、同一版本和同一配置。
LMArena 同时维护 Text 和 WebDev 两张榜，所以 7 个来源会看到 8 组排名。Artificial Analysis 还提供中文／多语言分榜，本文放在对应章节说明。
1. Artificial Analysis：综合能力
它把推理、知识、编程、指令遵循和 Agent 等多项测试合成一个 Intelligence Index。适合快速判断模型的综合上限，但不能代表价格、速度或具体业务体验。
当前展示：28 个有效配置（全部）
| 名次 | 模型 | 厂商 | 原榜分数 |
|---|---|---|---|
| #1 |  Claude Fable 5.1 (max with fallback) |
Anthropic | 65.7 |
| #2 | Claude Fable 5.1 (xhigh with fallback) |
Anthropic | 64.8 |
| #3 | Claude Opus 5 (max) |
Anthropic | 63.1 |
| #4 | Claude Opus 5 (xhigh) |
Anthropic | 62.5 |
| #5 | Claude Fable 5.1 (high with fallback) |
Anthropic | 62.5 |
| #6 | Claude Fable 5 (with fallback) |
Anthropic | 62.1 |
| #7 |  GPT-5.6 Sol (max) |
OpenAI | 60.9 |
| #8 |  Grok 4.6 (high) |
SpaceXAI | 60.9 |
| #9 |  Kimi K3 (max) |
Kimi | 59.7 |
| #10 | GLM-5.3 (max) |
Z AI | 59.5 |
| #11 |  Qwen3.8 2.4T A95B |
Alibaba | 57.7 |
| #12 | GLM-5.3-Flash |
Z AI | 57.5 |
| #13 | Muse Spark 1.2 (xhigh) |
Meta | 56.8 |
| #14 | GPT-5.6 Terra (max) |
OpenAI | 56.6 |
| #15 |  Gemini 3.7 Flash (high) |
56.0 | |
| #16 |  DeepSeek V4 Pro 0813 (max) |
DeepSeek | 53.2 |
| #17 | GPT-5.6 Luna (max) |
OpenAI | 52.3 |
| #18 | Qwen3.8 27B (xhigh) |
Alibaba | 52.0 |
| #19 | MiniMax-M3 |
MiniMax | 45.4 |
| #20 | Inkling |
Thinking Machines | 42.3 |
| #21 | Nemotron 3 Ultra |
NVIDIA | 38.3 |
| #22 | Gemini 3.5 Flash-Lite |
37.4 | |
| #23 | Muse Glimmer (high) |
Meta | 35.1 |
| #24 | Mistral Medium 3.5 |
Mistral | 30.4 |
| #25 | Claude 4.5 Haiku |
Anthropic | 29.9 |
| #26 | gpt-oss-120b (high) |
OpenAI | 24.1 |
| #27 | Nemotron 3.5 Lightning |
NVIDIA | 23.6 |
| #28 | Command A+ |
Cohere | 22.8 |
中文／多语言榜更适合关注中文表现。当前中文前三名为：Claude Opus 4.6 Max、Gemini 3.1 Pro Preview、Gemini 3 Pro Preview High，三者均为 94 分。
查看 Intelligence Index · 查看多语言榜
2. LiveBench：不断换题的客观考试
LiveBench 覆盖数学、推理、编程、数据分析、语言和指令遵循等任务。题目会持续更新，答案按客观规则评分，目的是减少模型背过测试题带来的虚高。
它适合看模型的基础解题能力。当前公开快照包含 23 项任务、7 个类别，发布日期为 2026 年 6 月 25 日。
当前展示：Top 50／51 个配置
| 名次 | 模型 | 厂商 | 原榜分数 |
|---|---|---|---|
| #1 | claude-fable-5-1-max-effort |
Anthropic | 83.414 |
| #2 | claude-fable-5-max-effort |
Anthropic | 82.971 |
| #3 | gpt-5.6-sol-max |
OpenAI | 81.054 |
| #4 | gpt-5.5-xhigh |
OpenAI | 80.188 |
| #5 | claude-opus-5-max-effort |
Anthropic | 80.085 |
| #6 | smaug-agentic |
Other | 79.508 |
| #7 | kimi-k3 |
Moonshot AI | 79.193 |
| #8 | gemini-3.7-flash-high |
78.826 | |
| #9 | qwen3.8-max |
Alibaba | 78.461 |
| #10 | grok-4.6 |
xAI | 78.042 |
| #11 | gpt-5.4-xhigh |
OpenAI | 77.972 |
| #12 | muse-spark-1.2-xhigh |
Meta | 77.955 |
| #13 | gpt-5.6-terra-max |
OpenAI | 77.936 |
| #14 | deepseek-v4-pro-0813 |
DeepSeek | 77.436 |
| #15 | gemini-3.1-pro-preview-high |
76.952 | |
| #16 | deepseek-v4-flash-vision-exp |
DeepSeek | 76.758 |
| #17 | claude-opus-4-7-xhigh-effort |
Anthropic | 76.529 |
| #18 | claude-opus-4-8-max-effort |
Anthropic | 76.224 |
| #19 | qwen3.8-flash-next |
Alibaba | 76.194 |
| #20 | glm-5.3 |
Z.ai | 76.138 |
| #21 | claude-sonnet-5-xhigh-effort |
Anthropic | 76.040 |
| #22 | grok-4.5 |
xAI | 75.773 |
| #23 | muse-spark-1.1-xhigh |
Meta | 75.300 |
| #24 | qwen3.8-27b |
Alibaba | 75.269 |
| #25 | gemini-3.5-flash-high |
74.638 | |
| #26 | gpt-5.2-2025-12-11-high |
OpenAI | 74.635 |
| #27 | claude-opus-4-6-thinking-auto-high-effort |
Anthropic | 74.520 |
| #28 | deepseek-v4-flash-0731 |
DeepSeek | 74.171 |
| #29 | gpt-5.2-codex |
OpenAI | 73.975 |
| #30 | gemini-3.6-flash-high |
73.588 | |
| #31 | gpt-5.6-luna-max |
OpenAI | 73.559 |
| #32 | glm-5.2 |
Z.ai | 73.157 |
| #33 | qwen3.7-max |
Alibaba | 73.137 |
| #34 | claude-sonnet-4-6-thinking-auto-medium-effort |
Anthropic | 72.990 |
| #35 | claude-opus-4-5-20251101-thinking-64k-high-effort |
Anthropic | 72.582 |
| #36 | inkling-xhigh |
Other | 71.922 |
| #37 | glm-5.3-flash |
Z.ai | 71.591 |
| #38 | deepseek-v4-pro |
DeepSeek | 71.572 |
| #39 | kimi-k2.6-thinking |
Moonshot AI | 70.539 |
| #40 | gpt-5.4-nano-xhigh |
OpenAI | 69.576 |
| #41 | ox-alpha-max |
Other | 69.235 |
| #42 | qwen3.6-plus |
Alibaba | 68.906 |
| #43 | kimi-k2.7-code |
Moonshot AI | 68.412 |
| #44 | grok-build-0.1 |
xAI | 67.781 |
| #45 | minimax-m3 |
MiniMax | 67.257 |
| #46 | gpt-5.4-mini-xhigh |
OpenAI | 66.374 |
| #47 | deepseek-v4-flash |
DeepSeek | 65.481 |
| #48 | nemotron-3-ultra-550b-a55b |
NVIDIA | 64.155 |
| #49 | qwen3.6-27b |
Alibaba | 64.027 |
| #50 | gemini-3.5-flash-lite-high |
63.937 |
3. LMArena：真人盲选
LMArena 不给模型做标准卷，而是让用户同时看到两个匿名答案，再投票选更好的一个。它更接近真实使用偏好，但结果也会受提问人群、回答风格和投票量影响。
- Text：看聊天、写作、数学、编程等开放问题。
- WebDev：看模型生成网页和前端应用的实际效果。
当前展示：Text Top 50；WebDev 20 个实验室（全部）
| 分榜 | 名次 | 模型 | 厂商 | Arena 分数 |
|---|---|---|---|---|
| Text | #1 | claude-fable-5 |
Anthropic | 1508±5 |
| Text | #2 | claude-opus-4-6-high |
Anthropic | 1505±4 |
| Text | #3 | claude-opus-4-7-high |
Anthropic | 1502±4 |
| Text | #4 | muse-spark-1.2 (xHigh) |
Meta | 1499±10 |
| Text | #5 | claude-opus-4-6 |
Anthropic | 1498±3 |
| Text | #6 | claude-opus-4-7 |
Anthropic | 1494±4 |
| Text | #7 | claude-opus-5-high |
Anthropic | 1492±5 |
| Text | #8 | muse-spark-1.1 |
Meta | 1491±5 |
| Text | #9 | gemini-3.7-flash-high |
1491±8Preliminary | |
| Text | #10 | kimi-k3-max |
Moonshot | 1489±5 |
| Text | #11 | muse-spark |
Meta | 1488±6 |
| Text | #12 | claude-opus-5-max |
Anthropic | 1488±6 |
| Text | #13 | gemini-3.1-pro-preview |
1487±3 | |
| Text | #14 | gemini-3-pro |
1486±4 | |
| Text | #15 | gpt-5.6-sol-xhigh |
OpenAI | 1483±5 |
| Text | #16 | gpt-5.5-high |
OpenAI | 1482±4 |
| Text | #17 | glm-5.3-max |
Z.ai | 1482±7 |
| Text | #18 | claude-opus-4-8-high |
Anthropic | 1482±4 |
| Text | #19 | gemini-3.6-flash-high |
1480±5 | |
| Text | #20 | qwen3.8-max |
Alibaba | 1479±6 |
| Text | #21 | gemini-3.5-flash-high |
1479±4 | |
| Text | #22 | gpt-5.5 |
OpenAI | 1477±4 |
| Text | #23 | gpt-5.4-high |
OpenAI | 1477±4 |
| Text | #24 | gpt-5.2-chat-latest-20260210 |
OpenAI | 1476±4 |
| Text | #25 | gemini-3.5-flash-medium |
1475±5 | |
| Text | #26 | grok-4.20-beta1 |
SpaceXAI | 1475±5 |
| Text | #27 | gemini-3-flash |
1474±4 | |
| Text | #28 | qwen3.7-max-preview |
Alibaba | 1474±10 |
| Text | #29 | gpt-5.5-instant |
OpenAI | 1474±5 |
| Text | #30 | glm-5.3-flash |
Z.ai | 1473±9 |
| Text | #31 | claude-opus-4-8 |
Anthropic | 1473±4 |
| Text | #32 | claude-opus-4-5-20251101-high-32k |
Anthropic | 1473±4 |
| Text | #33 | claude-sonnet-4-6 |
Anthropic | 1472±4 |
| Text | #34 | grok-4.20-beta-0309-reasoning |
SpaceXAI | 1472±4 |
| Text | #35 | glm-5.2-max |
Z.ai | 1472±5 |
| Text | #36 | grok-4.20-multi-agent-beta-0309 |
SpaceXAI | 1470±4 |
| Text | #37 | grok-4.5 |
SpaceXAI | 1470±5 |
| Text | #38 | claude-opus-4-5-20251101 |
Anthropic | 1469±3 |
| Text | #39 | mimo-v2.5-pro |
Xiaomi | 1468±4 |
| Text | #40 | ernie-5.1 |
Baidu | 1468±5 |
| Text | #41 | gpt-5.6-terra-xhigh |
OpenAI | 1466±5 |
| Text | #42 | glm-5.1 |
Z.ai | 1466±4 |
| Text | #43 | gpt-5.4 |
OpenAI | 1466±4 |
| Text | #44 | qwen3.5-max-preview |
Alibaba | 1466±5 |
| Text | #45 | grok-4.1-thinking |
SpaceXAI | 1465±3 |
| Text | #46 | claude-sonnet-5-high |
Anthropic | 1462±5 |
| Text | #47 | grok-4.6-high |
SpaceXAI | 1461±10Preliminary |
| Text | #48 | kimi-k2.6 |
Moonshot | 1461±5 |
| Text | #49 | qwen3.6-max-preview |
Alibaba | 1460±8 |
| Text | #50 | deepseek-v4-pro-high-20260813 |
DeepSeek | 1459±8 |
| WebDev | #1 | qwen3.8-max-0902 |
Alibaba | 1691+19/-19Preliminary |
| WebDev | #2 | claude-opus-5-max |
Anthropic | 1687+8/-8 |
| WebDev | #3 | kimi-k3-max |
Moonshot AI | 1674+11/-11 |
| WebDev | #4 | SpaceXAIgrok-4.6-high |
Other | 1629+17/-17Preliminary |
| WebDev | #5 |  Tencenthy4-preview |
Tencent | 1627+17/-17Preliminary |
| WebDev | #6 | gpt-5.6-sol-xhigh (codex-harness) |
OpenAI | 1616+7/-7 |
| WebDev | #7 | Z.aiglm-5.3-max |
Other | 1609+13/-13 |
| WebDev | #8 | gemini-3.7-flash-high |
1587+12/-12Preliminary | |
| WebDev | #9 | deepseek-v4-pro-high-20260813 |
DeepSeek | 1583+11/-11 |
| WebDev | #10 | MetaMetamuse-spark-1.1 |
Other | 1540+8/-8 |
| WebDev | #11 | BytedanceBytedanceseed-2.1-pro-preview |
Other | 1522+8/-8 |
| WebDev | #12 | MiniMaxminimax-m3 |
Other | 1487+7/-7 |
| WebDev | #13 | Xiaomimimo-v2.5-pro |
Other | 1476+6/-6 |
| WebDev | #14 | Thinking MachinesThinkyinkling |
Other | 1408+8/-8 |
| WebDev | #15 | Upstagesolar-pro4 |
Other | 1371+17/-17 |
| WebDev | #16 | Poolsidelaguna-m.1 |
Other | 1347+10/-10 |
| WebDev | #17 | Mistralmistral-medium-3.5 |
Other | 1265+15/-15 |
| WebDev | #18 | KAT-Coder-Pro-V1 |
Other | 1254+20/-20 |
| WebDev | #19 | granite-4.1-8b |
IBM | 1192+19/-19 |
| WebDev | #20 | mercury-2 |
Inception AI | 1166+25/-25 |
WebDev 第一名 Qwen 3.8 Max 0902 仍标为 Preliminary，样本增加后名次可能变化。Text 前三名的置信区间也高度重叠，不宜把几分差距理解为明显胜负。
4. APEX-Agents：专业人士的长任务
APEX-Agents 测试模型能否像投行分析师、管理顾问和公司律师一样工作。任务需要跨多个应用查资料、做分析、写文件，并持续规划较长流程。
它包含 33 个工作场景、480 项任务。相比普通问答榜，它更能反映 Agent 能否把复杂工作真正做完。
当前展示：默认 Mean Score + Loop 的 28 个配置（全部）
| 名次 | 模型 | 厂商 | Mean Score |
|---|---|---|---|
| #1 | Fable 5.1 Max |
Anthropic | 62.0% ± 3.5% |
| #2 | Opus 5 Max |
Anthropic | 60.6% ± 3.6% |
| #3 | Fable 5.1 High |
Anthropic | 60.0% ± 3.5% |
| #4 | Fable 5 Max |
Anthropic | 59.2% ± 3.7% |
| #5 | Muse Spark 1.1 Xhigh |
Meta | 58.1% ± 3.4% |
| #6 | Grok 4.6 High |
xAI | 57.5% ± 3.5% |
| #7 | GPT-5.6 Sol Max |
OpenAI | 56.7% ± 3.3% |
| #8 | GPT-5.6 Sol Max |
OpenAI | 56.4% ± 3.4% |
| #9 | Opus 4.8 Max |
Anthropic | 56.2% ± 3.5% |
| #10 | GPT-5.5 Xhigh |
OpenAI | 55.5% ± 3.6% |
| #11 | Kimi K3 Max |
Kimi | 55.4% ± 3.3% |
| #12 | GPT-5.6 Sol Xhigh |
OpenAI | 54.3% ± 3.3% |
| #13 | GLM-5.2 |
Zhipu | 52.2% ± 3.5% |
| #14 | DeepSeek-V4-Flash Max |
DeepSeek | 51.6% ± 3.4% |
| #15 | GPT-5.4 Xhigh |
OpenAI | 51.3% ± 3.6% |
| #16 | Opus 4.7 Max |
Anthropic | 50.1% ± 3.5% |
| #17 | Opus 4.6 High |
Anthropic | 48.7% ± 3.5% |
| #18 | Gemini 3.1 Pro High |
48.7% ± 3.3% | |
| #19 | Sonnet 5 High |
Anthropic | 48.5% ± 3.2% |
| #20 | GPT-5.2 Xhigh |
OpenAI | 47.8% ± 3.7% |
| #21 | Grok 4.5 High |
xAI | 47.1% ± 3.4% |
| #22 | Gemini 3 Pro High |
46.7% ± 3.4% | |
| #23 | GPT-5.3-Codex High |
OpenAI | 44.6% ± 3.4% |
| #24 | GPT-5.2-Codex High |
OpenAI | 42.5% ± 3.2% |
| #25 | Kimi K2.7 Code Auto |
Kimi | 41.9% ± 3.0% |
| #26 | Applied Compute: Small |
Applied Compute | 40.1% ± 3.2% |
| #27 | Opus 4.5 High |
Anthropic | 37.1% ± 3.2% |
| #28 | GLM-4.7 |
Zhipu | 21.2% ± 2.2% |
5. Vals Finance Agent：金融分析办公题
这个榜单专门测试金融分析任务，例如查阅公司资料和 SEC 文件、建立判断并给出有依据的回答。它适合选金融研究助手，不适合用来判断通用聊天或编程能力。
这里列的是当前页面提供的 Finance Agent v1.1 Accuracy，快照更新于 2026 年 6 月 4 日。榜首约 64%，也说明复杂金融研究离“完全可靠”还有距离。
当前展示：Top 50／51 个模型
| 名次 | 模型 | 厂商 | Accuracy |
|---|---|---|---|
| #1 | claude-opus-4-7 |
Anthropic | 64.373% |
| #2 | claude-sonnet-4-6 |
Anthropic | 63.331% |
| #3 | muse-spark |
Meta | 60.595% |
| #4 | deepseek-v4-pro |
DeepSeek | 60.389% |
| #5 | claude-opus-4-6-thinking |
Anthropic | 60.046% |
| #6 | gpt-5.5 |
OpenAI | 59.963% |
| #7 | gemini-3.1-pro-preview |
59.717% | |
| #8 | claude-opus-4-5-20251101-thinking |
Anthropic | 58.810% |
| #9 | gpt-5.2-2025-12-11 |
OpenAI | 58.535% |
| #10 | glm-5.1 |
Z.ai | 57.655% |
| #11 | gpt-5.4-2026-03-05 |
OpenAI | 57.152% |
| #12 | kimi-k2.6 |
Moonshot AI | 57.056% |
| #13 | gpt-5.1-2025-11-13 |
OpenAI | 55.309% |
| #14 | gemini-3-pro-preview |
55.154% | |
| #15 | qwen3.6-plus |
Alibaba | 54.627% |
| #16 | claude-sonnet-4-5-20250929-thinking |
Anthropic | 54.500% |
| #17 | qwen3.5-plus-thinking |
Alibaba | 54.475% |
| #18 | grok-4.3 |
Grok | 53.812% |
| #19 | grok-4-0709 |
Grok | 53.506% |
| #20 | gpt-5.4-mini-2026-03-17 |
OpenAI | 53.405% |
| #21 | glm-5-thinking |
Z.ai | 53.182% |
| #22 | qwen3.6-max-preview |
Alibaba | 52.785% |
| #23 | grok-4-1-fast-reasoning |
Grok | 52.448% |
| #24 | grok-4.20-0309-reasoning |
Grok | 52.295% |
| #25 | gpt-5-2025-08-07 |
OpenAI | 52.151% |
| #26 | gpt-5-mini-2025-08-07 |
OpenAI | 51.928% |
| #27 | gemma-4-31b-it |
50.788% | |
| #28 | kimi-k2.5-thinking |
Moonshot AI | 50.622% |
| #29 | MiniMax-M2.7 |
MiniMax | 48.402% |
| #30 | gpt-5.4-nano-2026-03-17 |
OpenAI | 47.801% |
| #31 | gemini-3-flash-preview |
47.598% | |
| #32 | claude-haiku-4-5-20251001-thinking |
Anthropic | 46.931% |
| #33 | gemini-3.1-flash-lite-preview |
46.123% | |
| #34 | mistral-medium-3.5 |
Mistralai | 46.113% |
| #35 | grok-4-fast-reasoning |
Grok | 46.084% |
| #36 | glm-4.7 |
Z.ai | 45.977% |
| #37 | qwen3.5-flash |
Alibaba | 45.639% |
| #38 | grok-4-1-fast-non-reasoning |
Grok | 44.362% |
| #39 | qwen3-max |
Alibaba | 44.295% |
| #40 | gemini-2.5-pro |
41.589% | |
| #41 | MiniMax-M2.5 |
MiniMax | 38.579% |
| #42 | kimi-k2-thinking |
Moonshot AI | 36.647% |
| #43 | glm-4.6 |
Z.ai | 36.480% |
| #44 | MiniMax-M2.1 |
MiniMax | 33.350% |
| #45 | gpt-oss-120b |
Fireworks | 21.541% |
| #46 | mistral-large-2512 |
Mistralai | 18.049% |
| #47 | gpt-4o-2024-08-06 |
OpenAI | 8.064% |
| #48 | command-a-03-2025 |
Cohere | 4.226% |
| #49 | deepseek-v3p2-thinking |
Fireworks | 2.345% |
| #50 | jamba-large-1.7 |
AI21 Labs | 0.370% |
6. DeepSWE v1.1：真实仓库修代码
DeepSWE 给 Agent 真实、耗时较长的软件工程任务。模型需要理解代码库、修改代码并提交补丁，最后在干净的验证容器中运行测试。
v1.1 有 113 项任务，当前快照更新于 2026 年 8 月 26 日。榜单统一使用同一套 Agent 框架，比分散的厂商自报成绩更容易横向比较。
当前展示：Best 视图 19 个模型（全部）
| 名次 | 模型 | 厂商 | Pass@1 |
|---|---|---|---|
| #1 | claude-opus-5 max |
Anthropic | 74% ± 4% |
| #2 | gpt-5.6-sol max |
OpenAI | 73% ± 3% |
| #3 | claude-fable-5 max |
Anthropic | 70% ± 4% |
| #4 | glm-5.3 max |
ZAI.png | 69% ± 3% |
| #5 | kimi-k3 max |
Moonshot.png | 69% ± 5% |
| #6 | gpt-5.6-luna max |
OpenAI | 67% ± 4% |
| #7 | gpt-5.5 xhigh |
OpenAI | 67% ± 6% |
| #8 | grok-4.6 xhigh |
xAI | 67% ± 2% |
| #9 | gemini-3.7-flash high |
65% ± 2% | |
| #10 | glm-5.3-flash max |
ZAI.png | 63% ± 4% |
| #11 | deepseek-v4-pro max |
DeepSeek | 63% ± 6% |
| #12 | claude-opus-4.8 max |
Anthropic | 59% ± 2% |
| #13 | qwen3.8-max xhigh |
Qwen.png | 57% ± 3% |
| #14 | muse-spark-1.2 xhigh |
Meta | 55% ± 2% |
| #15 | claude-sonnet-5 max |
Anthropic | 54% ± 4% |
| #16 | deepseek-v4-flash max |
DeepSeek | 53% ± 4% |
| #17 | gemini-3.6-flash high |
47% ± 4% | |
| #18 | glm-5.2 max |
ZAI.png | 44% ± 2% |
| #19 | gemini-3.5-flash high |
36% ± 4% |
7. TapTap Maker：让模型真的做游戏
TapTap Maker 要求 AI Agent 为 UrhoX 引擎编写 Lua 游戏代码，再由真实引擎执行和评分，不靠另一个大模型主观打分。
当前使用 2026-08-27-v5 快照。前三名分数很接近，而且第二、第三名置信区间较宽，所以更应该看作同一领先梯队。
当前展示：29 个配置（全部）
| 名次 | 模型 | 厂商 | 原榜分数 |
|---|---|---|---|
| #1 | claude-fable-5 high |
Anthropic | 89.02% |
| #2 | claude-opus-5 xhigh |
Anthropic | 88.89% |
| #3 | grok-4.6 xhigh |
xAI | 87.30% |
| #4 | gpt-5.6-sol xhigh |
OpenAI | 86.51% |
| #5 | claude-opus-5 high |
Anthropic | 86.51% |
| #6 | gemini-3.7-flash high |
84.13% | |
| #7 | grok-4.6 high |
xAI | 84.13% |
| #8 | glm-5.3 max |
Z.ai | 83.60% |
| #9 | claude-opus-4-8 xhigh |
Anthropic | 82.76% |
| #10 | qwen3.8-max xhigh |
Alibaba | 82.54% |
| #11 | gpt-5.6-terra xhigh |
OpenAI | 81.75% |
| #12 | qwen3.8-flash xhigh |
Alibaba | 81.48% |
| #13 | glm-5.3-flash max |
Z.ai | 81.48% |
| #14 | kimi-k3 |
Moonshot AI | 79.72% |
| #15 | x-ai/grok-4.5 high |
xAI | 78.31% |
| #16 | gpt-5.6-luna xhigh |
OpenAI | 77.78% |
| #17 | deepseek-v4-pro |
DeepSeek | 77.78% |
| #18 | gemini-3.6-flash |
76.19% | |
| #19 | claude-opus-4-6 xhigh |
Anthropic | 76.19% |
| #20 | deepseek-v4-flash max |
DeepSeek | 74.60% |
| #21 | glm-5.2 |
Z.ai | 74.34% |
| #22 | claude-sonnet-5 xhigh |
Anthropic | 73.28% |
| #23 | hy3 |
Tencent | 73.02% |
| #24 | doubao-seed-evolving high |
ByteDance | 72.75% |
| #25 | qwen3.8-27b xhigh |
Alibaba | 68.25% |
| #26 | gemini-3.1-pro-preview |
64.70% | |
| #27 | gemini-3.5-flash |
63.89% | |
| #28 | MiniMax/MiniMax-M3 |
MiniMax | 60.05% |
| #29 | claude-haiku-4-5 high |
Anthropic | 43.65% |
怎么选榜单
- 想看综合能力：Artificial Analysis、LiveBench。
- 想看真人使用偏好：LMArena Text。
- 想做网页和前端：LMArena WebDev。
- 想让 Agent 完成专业办公长任务：APEX-Agents。
- 想做金融研究：Vals Finance Agent。
- 想做软件工程：DeepSWE。
- 想做游戏开发：TapTap Maker。
最实用的办法不是只追一个总榜，而是先确定自己的任务，再看对应榜单；最后用自己的真实工作做一轮小测试。榜单负责缩小范围，实际任务才负责最终选择。