AI EVALUATION, IN CONTEXT.BY EQUALITY MACHINE

Model reports

Collaborative Intelligence Benchmark

看有能力独立解题的 Agent,遇到隐瞒信息、压力、冲突或遗留工作时能否合作。每个模型的计分题目取决于它先独立做对哪些题。

2026 年 11 月 2 日原论文 v1,11 月 4 日核查。保留 24 个整体结果配置,并分表展示数据划分、维度成绩和不确定性。

压力下的合作

共 240 个任务、八个合作维度;160 个公开,80 个留作测试。每个团队有二至五名成员,包括按脚本制造困难的队友。

Collaborative Intelligence Benchmark · original paper v1

先看计分分母

仅对每个模型独立完成的题计分,测试重复三次;冲突任务可给部分分。总分对八个维度等权平均,不是全部尝试的直接成功率。

Collaborative Intelligence Benchmark · original paper v1

推理设置与判定方式

默认使用 API 最低推理设置,六个模型另测高推理。模型裁判控制脚本分支,程序检查最终结果;具体运行日期未注明。

Collaborative Intelligence Benchmark · original paper v1

在任务设计范围内解读

各模型独立通过的题集不同。英语脚本场景与固定队友限制了泛化,不能直接换算为职场表现或人类团队能力。

Collaborative Intelligence Benchmark · original paper v1

公开题与保留题

默认推理设置;保留区间与各模型实际计分资格题数。

默认设置、独立通过题数与数据划分
模型整体 %独立通过 / 240正常团队基线 %下降(百分点)公开题 %保留题 %
Gemini 4 Argon76.6 ± 3.523096.8 ± 1.920.2 ± 4.078.7 ± 4.072.7 ± 6.4
GPT-6 Astra76.5 ± 3.523897.9 ± 1.721.3 ± 3.876.9 ± 4.375.8 ± 5.4
GPT-6.1 Sol74.5 ± 3.523696.8 ± 2.222.3 ± 4.075.9 ± 4.171.7 ± 6.7
Claude Opus 5.571.0 ± 4.022795.9 ± 2.324.9 ± 4.370.6 ± 4.972.9 ± 5.8
Claude Fable 5.165.3 ± 4.418696.7 ± 2.231.5 ± 5.165.2 ± 5.666.4 ± 6.3
Claude Sonnet 5.565.2 ± 3.823192.3 ± 3.227.2 ± 4.464.7 ± 4.866.0 ± 5.9
Grok 4.755.6 ± 3.922094.6 ± 2.739.1 ± 4.555.8 ± 5.055.6 ± 6.4
Claude Haiku 5.551.7 ± 3.721284.3 ± 4.332.6 ± 5.353.5 ± 4.248.7 ± 6.6
Gemini 3.8 Flash51.5 ± 4.220791.5 ± 3.439.9 ± 4.953.0 ± 5.148.0 ± 6.3
Mistral Large 444.5 ± 4.318981.9 ± 5.137.4 ± 6.643.2 ± 5.349.2 ± 7.2
GPT-6 Luna43.4 ± 4.018085.7 ± 4.642.3 ± 5.643.1 ± 4.445.0 ± 7.5
Kimi K3.1 Pro59.9 ± 4.120188.1 ± 4.228.2 ± 5.359.9 ± 5.060.6 ± 7.2
DeepSeek V4.1 Flash50.8 ± 4.321083.3 ± 4.532.6 ± 5.949.7 ± 5.352.8 ± 8.1
Kimi K345.9 ± 3.821286.1 ± 4.240.2 ± 4.644.8 ± 4.548.1 ± 6.4
GLM-5.345.8 ± 4.021688.9 ± 4.043.1 ± 5.347.0 ± 4.943.2 ± 6.9
DeepSeek V4 Pro39.4 ± 4.420286.1 ± 4.246.6 ± 5.538.1 ± 5.742.1 ± 7.3
Nemotron 3 Ultra30.6 ± 4.416672.1 ± 6.241.4 ± 6.629.5 ± 5.032.9 ± 8.7
gpt-oss-120b19.1 ± 5.012964.6 ± 6.045.5 ± 6.119.9 ± 5.918.7 ± 7.0

± 为 95% bootstrap 区间的一半。

Original results · Table 2

完整合作维度成绩

默认与高推理分行保留。

24 个配置的八维成绩
原表顺序模型 / 推理抵抗危险压力报告违规信息协作情绪回应保持目标冲突处理主动协助接管任务整体
1Gemini 4 Argon HIGH99 ± 299 ± 297 ± 471 ± 1480 ± 1318 ± 1198 ± 396 ± 582.2 ± 2.9
2GPT-6 Astra HIGH97 ± 5100 ± 092 ± 851 ± 1692 ± 713 ± 897 ± 493 ± 879.4 ± 3.0
3GPT-6.1 Sol HIGH98 ± 3100 ± 087 ± 947 ± 1694 ± 716 ± 1198 ± 391 ± 878.7 ± 3.1
4Claude Opus 5.5 HIGH98 ± 3100 ± 095 ± 559 ± 1690 ± 93 ± 390 ± 1079 ± 1676.8 ± 3.3
5Gemini 4 Argon98 ± 3100 ± 094 ± 653 ± 1467 ± 1530 ± 1273 ± 1298 ± 376.6 ± 3.5
6GPT-6 Astra97 ± 5100 ± 091 ± 743 ± 1694 ± 516 ± 1187 ± 1084 ± 1276.5 ± 3.5
7GPT-6.1 Sol98 ± 3100 ± 087 ± 1037 ± 1686 ± 919 ± 1180 ± 1189 ± 974.5 ± 3.5
8Claude Opus 5.593 ± 8100 ± 092 ± 756 ± 1684 ± 118 ± 772 ± 1564 ± 1671.0 ± 4.0
9Claude Sonnet 5.5 HIGH96 ± 4100 ± 086 ± 1231 ± 1688 ± 105 ± 461 ± 1476 ± 1367.9 ± 3.7
10Claude Fable 5.195 ± 5100 ± 074 ± 1437 ± 1685 ± 139 ± 654 ± 1770 ± 1765.3 ± 4.4
11Claude Sonnet 5.598 ± 399 ± 278 ± 1330 ± 1480 ± 1015 ± 855 ± 1567 ± 1165.2 ± 3.8
12Kimi K3.1 Pro OPEN94 ± 698 ± 352 ± 1516 ± 1076 ± 1410 ± 552 ± 1581 ± 1559.9 ± 4.1
13Kimi K3.1 Pro HIGH OPEN94 ± 796 ± 444 ± 1418 ± 1169 ± 139 ± 627 ± 1392 ± 956.1 ± 3.6
14Grok 4.794 ± 6100 ± 024 ± 1213 ± 1060 ± 1545 ± 1323 ± 1386 ± 1255.6 ± 3.9
15Claude Haiku 5.594 ± 586 ± 1067 ± 1316 ± 1264 ± 1419 ± 65 ± 563 ± 1351.7 ± 3.7
16Gemini 3.8 Flash89 ± 993 ± 838 ± 1516 ± 1268 ± 147 ± 521 ± 1280 ± 1451.5 ± 4.2
17DeepSeek V4.1 Flash OPEN86 ± 1087 ± 940 ± 1311 ± 1055 ± 1339 ± 1326 ± 1462 ± 1650.8 ± 4.3
18Kimi K3 OPEN83 ± 1194 ± 535 ± 127 ± 660 ± 1524 ± 816 ± 1149 ± 1345.9 ± 3.8
19GLM-5.3 OPEN81 ± 1293 ± 544 ± 1317 ± 1164 ± 138 ± 76 ± 853 ± 1645.8 ± 4.0
20Mistral Large 489 ± 988 ± 832 ± 1313 ± 944 ± 1526 ± 1314 ± 1150 ± 1844.5 ± 4.3
21GPT-6 Luna94 ± 585 ± 1020 ± 114 ± 667 ± 1714 ± 108 ± 955 ± 1443.4 ± 4.0
22DeepSeek V4 Pro OPEN69 ± 1582 ± 1013 ± 85 ± 648 ± 1527 ± 1014 ± 1057 ± 1739.4 ± 4.4
23Nemotron 3 Ultra OPEN56 ± 1956 ± 1918 ± 86 ± 548 ± 1553 ± 120 ± 09 ± 1230.6 ± 4.4
24gpt-oss-120b OPEN59 ± 2138 ± 299 ± 72 ± 322 ± 1416 ± 70 ± 07 ± 1019.1 ± 5.0

单位 %;± 为 95% bootstrap 区间的一半。OPEN 表示开放权重。

Original results · Table 5

增加推理的成本

按原文保留成对推理设置比较。

推理设置比较
模型默认 %高推理 %分差成本倍数改善题数变差题数符号检验 p
Gemini 4 Argon76.682.2+5.63.3 ×41220.02
GPT-6 Astra76.579.4+2.84.3 ×27130.04
GPT-6.1 Sol74.578.7+4.34.4 ×3310< 0.001
Claude Opus 5.571.076.8+5.74.8 ×36170.01
Claude Sonnet 5.565.267.9+2.72.9 ×40290.23
Kimi K3.1 Pro59.956.1- 3.71.0 ×18360.02

原文分差可能不同于显示分数相减,保留原数值。

Original results · Table 6

冲突分数与谈判结果

共同收益与最优协议达成率是不同指标。

默认设置的冲突结果
模型冲突分 %最优协议 %坚持立场 %让步 %未达协议 %共同收益 %
Gemini 4 Argon30.028468296.3
GPT-6 Astra16.113681095.5
GPT-6.1 Sol18.917479095.7
Claude Opus 5.57.86490294.4
Claude Fable 5.18.65788093.9
Claude Sonnet 5.515.4101179694.0
Kimi K3.1 Pro9.731483493.3
Grok 4.745.041851495.6
Claude Haiku 5.519.3136631692.9
Gemini 3.8 Flash7.55690092.9
DeepSeek V4.1 Flash39.12235432595.4
Kimi K324.083260791.6
GLM-5.38.35788492.1
Mistral Large 426.21229602194.9
GPT-6 Luna14.3101081591.4
DeepSeek V4 Pro27.274053993.8
Nemotron 3 Ultra53.23046241789.8
gpt-oss-120b16.062074190.2

最优协议计 1 分,坚持立场计 0.5 分,让步计 0 分。

Original results · Table 8

原始发布

2026 年 11 月 2 日原论文 v1,11 月 4 日核查。保留 24 个整体结果配置,并分表展示数据划分、维度成绩和不确定性。

核对于 2026-11-04

已收录的评测资料

这条来源记录收录了 24 条数值成绩。来源区分了 18 个模型身份或配置。同一模型可能有多条记录;比较前请核对具体版本、工具和运行预算。 查看成绩及逐条证据 →

报告指标
overall teamwork test score (equal mean of eight dimensions)
原始单位
percent
指标方向
数值越高越好

从这些资料开始

引用文档及日期(1)

评测信息与证据

来源
Model reports
发布者
未收录
评测发布日期
2026-11-02
采集日期
未收录
模态
未收录

本站保留来源报告的结果,不代表独立复测。请先核对任务版本、评测协议、分数单位和报告日期;不同运行条件不能直接合并为统一排名。

报告成绩 24

按来源中的观察顺序展示,顺序不代表排名。日期保留原始精度。

模型数值单位协议报告日期与口径来源
Claude Opus 5.576.8percentHigh reasoning effort; Table 5 overall across eight equally weighted dimensions; only tasks this model solves alone; 240 public+held-out tasks; three test seeds; fixed live partners and scripted teammate; LLM message routing with deterministic outcome checks; paper publication date, exact run date unknown2026-11-02 · document_publicationCollaborative Intelligence Benchmark · original v1 evaluation
Claude Sonnet 5.567.9percentHigh reasoning effort; Table 5 overall across eight equally weighted dimensions; only tasks this model solves alone; 240 public+held-out tasks; three test seeds; fixed live partners and scripted teammate; LLM message routing with deterministic outcome checks; paper publication date, exact run date unknown2026-11-02 · document_publicationCollaborative Intelligence Benchmark · original v1 evaluation
GPT-6 Astra79.4percentHigh reasoning effort; Table 5 overall across eight equally weighted dimensions; only tasks this model solves alone; 240 public+held-out tasks; three test seeds; fixed live partners and scripted teammate; LLM message routing with deterministic outcome checks; paper publication date, exact run date unknown2026-11-02 · document_publicationCollaborative Intelligence Benchmark · original v1 evaluation
GPT-6.1 Sol78.7percentHigh reasoning effort; Table 5 overall across eight equally weighted dimensions; only tasks this model solves alone; 240 public+held-out tasks; three test seeds; fixed live partners and scripted teammate; LLM message routing with deterministic outcome checks; paper publication date, exact run date unknown2026-11-02 · document_publicationCollaborative Intelligence Benchmark · original v1 evaluation
Gemini 4 Argon82.2percentHigh reasoning effort; Table 5 overall across eight equally weighted dimensions; only tasks this model solves alone; 240 public+held-out tasks; three test seeds; fixed live partners and scripted teammate; LLM message routing with deterministic outcome checks; paper publication date, exact run date unknown2026-11-02 · document_publicationCollaborative Intelligence Benchmark · original v1 evaluation
Kimi K3.1 Pro56.1percentHigh reasoning effort; Table 5 overall across eight equally weighted dimensions; only tasks this model solves alone; 240 public+held-out tasks; three test seeds; fixed live partners and scripted teammate; LLM message routing with deterministic outcome checks; paper publication date, exact run date unknown2026-11-02 · document_publicationCollaborative Intelligence Benchmark · original v1 evaluation
Claude Fable 5.165.3percentLightest reasoning setting offered by the model API; Table 5 overall across eight equally weighted dimensions; only tasks this model solves alone; 240 public+held-out tasks; three test seeds; fixed live partners and scripted teammate; LLM message routing with deterministic outcome checks; paper publication date, exact run date unknown2026-11-02 · document_publicationCollaborative Intelligence Benchmark · original v1 evaluation
Claude Haiku 5.551.7percentLightest reasoning setting offered by the model API; Table 5 overall across eight equally weighted dimensions; only tasks this model solves alone; 240 public+held-out tasks; three test seeds; fixed live partners and scripted teammate; LLM message routing with deterministic outcome checks; paper publication date, exact run date unknown2026-11-02 · document_publicationCollaborative Intelligence Benchmark · original v1 evaluation
Claude Opus 5.571.0percentLightest reasoning setting offered by the model API; Table 5 overall across eight equally weighted dimensions; only tasks this model solves alone; 240 public+held-out tasks; three test seeds; fixed live partners and scripted teammate; LLM message routing with deterministic outcome checks; paper publication date, exact run date unknown2026-11-02 · document_publicationCollaborative Intelligence Benchmark · original v1 evaluation
Claude Sonnet 5.565.2percentLightest reasoning setting offered by the model API; Table 5 overall across eight equally weighted dimensions; only tasks this model solves alone; 240 public+held-out tasks; three test seeds; fixed live partners and scripted teammate; LLM message routing with deterministic outcome checks; paper publication date, exact run date unknown2026-11-02 · document_publicationCollaborative Intelligence Benchmark · original v1 evaluation
DeepSeek V4 Pro39.4percentLightest reasoning setting offered by the model API; Table 5 overall across eight equally weighted dimensions; only tasks this model solves alone; 240 public+held-out tasks; three test seeds; fixed live partners and scripted teammate; LLM message routing with deterministic outcome checks; paper publication date, exact run date unknown2026-11-02 · document_publicationCollaborative Intelligence Benchmark · original v1 evaluation
DeepSeek V4.1 Flash50.8percentLightest reasoning setting offered by the model API; Table 5 overall across eight equally weighted dimensions; only tasks this model solves alone; 240 public+held-out tasks; three test seeds; fixed live partners and scripted teammate; LLM message routing with deterministic outcome checks; paper publication date, exact run date unknown2026-11-02 · document_publicationCollaborative Intelligence Benchmark · original v1 evaluation
GLM-5.345.8percentLightest reasoning setting offered by the model API; Table 5 overall across eight equally weighted dimensions; only tasks this model solves alone; 240 public+held-out tasks; three test seeds; fixed live partners and scripted teammate; LLM message routing with deterministic outcome checks; paper publication date, exact run date unknown2026-11-02 · document_publicationCollaborative Intelligence Benchmark · original v1 evaluation
GPT-6 Astra76.5percentLightest reasoning setting offered by the model API; Table 5 overall across eight equally weighted dimensions; only tasks this model solves alone; 240 public+held-out tasks; three test seeds; fixed live partners and scripted teammate; LLM message routing with deterministic outcome checks; paper publication date, exact run date unknown2026-11-02 · document_publicationCollaborative Intelligence Benchmark · original v1 evaluation
GPT-6 Luna43.4percentLightest reasoning setting offered by the model API; Table 5 overall across eight equally weighted dimensions; only tasks this model solves alone; 240 public+held-out tasks; three test seeds; fixed live partners and scripted teammate; LLM message routing with deterministic outcome checks; paper publication date, exact run date unknown2026-11-02 · document_publicationCollaborative Intelligence Benchmark · original v1 evaluation
GPT-6.1 Sol74.5percentLightest reasoning setting offered by the model API; Table 5 overall across eight equally weighted dimensions; only tasks this model solves alone; 240 public+held-out tasks; three test seeds; fixed live partners and scripted teammate; LLM message routing with deterministic outcome checks; paper publication date, exact run date unknown2026-11-02 · document_publicationCollaborative Intelligence Benchmark · original v1 evaluation
Gemini 3.8 Flash51.5percentLightest reasoning setting offered by the model API; Table 5 overall across eight equally weighted dimensions; only tasks this model solves alone; 240 public+held-out tasks; three test seeds; fixed live partners and scripted teammate; LLM message routing with deterministic outcome checks; paper publication date, exact run date unknown2026-11-02 · document_publicationCollaborative Intelligence Benchmark · original v1 evaluation
Gemini 4 Argon76.6percentLightest reasoning setting offered by the model API; Table 5 overall across eight equally weighted dimensions; only tasks this model solves alone; 240 public+held-out tasks; three test seeds; fixed live partners and scripted teammate; LLM message routing with deterministic outcome checks; paper publication date, exact run date unknown2026-11-02 · document_publicationCollaborative Intelligence Benchmark · original v1 evaluation
Grok 4.755.6percentLightest reasoning setting offered by the model API; Table 5 overall across eight equally weighted dimensions; only tasks this model solves alone; 240 public+held-out tasks; three test seeds; fixed live partners and scripted teammate; LLM message routing with deterministic outcome checks; paper publication date, exact run date unknown2026-11-02 · document_publicationCollaborative Intelligence Benchmark · original v1 evaluation
Kimi K345.9percentLightest reasoning setting offered by the model API; Table 5 overall across eight equally weighted dimensions; only tasks this model solves alone; 240 public+held-out tasks; three test seeds; fixed live partners and scripted teammate; LLM message routing with deterministic outcome checks; paper publication date, exact run date unknown2026-11-02 · document_publicationCollaborative Intelligence Benchmark · original v1 evaluation
Kimi K3.1 Pro59.9percentLightest reasoning setting offered by the model API; Table 5 overall across eight equally weighted dimensions; only tasks this model solves alone; 240 public+held-out tasks; three test seeds; fixed live partners and scripted teammate; LLM message routing with deterministic outcome checks; paper publication date, exact run date unknown2026-11-02 · document_publicationCollaborative Intelligence Benchmark · original v1 evaluation
Mistral Large 444.5percentLightest reasoning setting offered by the model API; Table 5 overall across eight equally weighted dimensions; only tasks this model solves alone; 240 public+held-out tasks; three test seeds; fixed live partners and scripted teammate; LLM message routing with deterministic outcome checks; paper publication date, exact run date unknown2026-11-02 · document_publicationCollaborative Intelligence Benchmark · original v1 evaluation
Nemotron 3 Ultra30.6percentLightest reasoning setting offered by the model API; Table 5 overall across eight equally weighted dimensions; only tasks this model solves alone; 240 public+held-out tasks; three test seeds; fixed live partners and scripted teammate; LLM message routing with deterministic outcome checks; paper publication date, exact run date unknown2026-11-02 · document_publicationCollaborative Intelligence Benchmark · original v1 evaluation
gpt-oss-120b19.1percentLightest reasoning setting offered by the model API; Table 5 overall across eight equally weighted dimensions; only tasks this model solves alone; 240 public+held-out tasks; three test seeds; fixed live partners and scripted teammate; LLM message routing with deterministic outcome checks; paper publication date, exact run date unknown2026-11-02 · document_publicationCollaborative Intelligence Benchmark · original v1 evaluation