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Agent Performance on tau-bench

78.3Retail AccuracyGPT-5-think
10.38828.01945.6563.281Dec 28, 2025Jan 4, 2026Jan 11, 2026Jan 19, 2026Jan 26, 2026Feb 2, 2026Feb 10, 2026

Evaluation results

MethodLinks
GPT-5-think2026.0278.34467.8—
GPT-5-thinkingModel Source=Closed-Source Large Language Models2025.1278.344——
Claude-Sonnet-42026.0273.94063.6—
Kimi-K2-1T-A32BParameters=1T2026.0273.951.267—
Claude-Sonnet-4Model Source=Closed-Source Large Language Models2025.1273.940——
Kimi-K2-1T-A32BModel Source=Open-Source Large Language Models2025.1273.951.2——
AutoForge-30B-A3BModel Source=Open-Source Large Language Models2025.1273.156.5——
AgentSkillerParameters=14B, Subset=Full Set (with Cross-Domain Subset)2026.02735467.2—
MUA-RL-32BModel Source=Open-Source Large Language Models2025.1272.646.5——
GPT-o32026.0270.45264.8—
GPT-o4-mini2026.0270.44663—
Seed-OSS-36BParameters=36B2026.0270.44663—
AgentScaler-30B-A3BParameters=30B2026.0270.45465.4—
GPT-o3Model Source=Closed-Source Large Language Models2025.1270.452——
GPT-o4-miniModel Source=Closed-Source Large Language Models2025.1270.446——
Seed-OSS-36BModel Source=Open-Source Large Language Models2025.1270.446——
AgentScaler-30B-A3BModel Source=Open-Source Large Language Models2025.1270.454——
Gemini-2.5-pro2026.0268.74461.2—
Qwen3-Coder-30B-A3BParameters=30B2026.0268.74862.4—
Gemini-2.5-proModel Source=Closed-Source Large Language Models2025.1268.744——
Qwen-Coder-30B-A3BModel Source=Open-Source Large Language Models2025.1268.748——
GPT-OSS-120B-A5BParameters=120B2026.0267.849.262.1—
Qwen3-Thinking-235B-A22BParameters=235B2026.0267.84661.2—
Qwen3-Thinking-30B-A3BParameters=30B2026.0267.84861.8—
GPT-OSS-120B-A5BModel Source=Open-Source Large Language Models2025.1267.849.2——
Qwen3-Thinking-235B-A22BModel Source=Open-Source Large Language Models2025.1267.846——
Qwen3-Thinking-30B-A3BModel Source=Open-Source Large Language Models2025.1267.848——
xLAM-2-70B-fc-rParameters=70B2026.0267.145.260.4—
xLAM-2-70B-fc-rModel Source=Open-Source Large Language Models2025.1267.145.2——
Deepseek-V3.1-671B-A37BParameters=671B2026.0266.14058.1—
Deepseek-V3.1-671B-A37BModel Source=Open-Source Large Language Models2025.1266.140——
xLAM-2-32B-fc-rParameters=32B2026.0264.34558.4—
AgentScaler-4BParameters=4B2026.0264.35461.2—
xLAM-2-32B-fc-rModel Source=Open-Source Large Language Models2025.1264.345——
AgentSkillerParameters=4B, Subset=Full Set (with Cross-Domain Subset)2026.0262.65460—
ToolMind-14BParameters=14B2026.02604655.7—
Qwen3-Thinking-4BParameters=4B2026.0259.152.557.1—
AgentSkillerParameters=8B, Subset=Full Set (with Cross-Domain Subset)2026.0259.13652.1—
xLAM-2-8B-fc-rParameters=8B2026.0258.235.251.2—
ToolMind-8BParameters=8B2026.0257.43650.9—
EnvScaler-14BParameters=14B, Training=w/ SFT2026.0255.72646.6—
AgentSkillerParameters=8B, Subset=Single-Domain Subset2026.0253.93247.2—
AgentSkillerParameters=14B, Subset=Single-Domain Subset2026.02532845.4—
AgentScaler-8BParameters=8B2026.0250.44247.8—
EnvScaler-8BParameters=8B, Training=w/ SFT2026.0248.73444.2—
MUA-14BParameters=14B, Training=w/ SFT2026.0248.73644.8—
AgentSkillerParameters=4B, Subset=Single-Domain Subset2026.02472440—
Qwen3-14BParameters=14B2026.0245.73141.2—
Qwen3-8BParameters=8B2026.0245.22539—
EnvScaler-4BParameters=4B, Training=w/ SFT2026.0244.44043.1—
MUA-8BParameters=8B, Training=w/ SFT2026.0243.52638.2—
ToolACE-14BParameters=14B2026.0237.42232.7—
ToolACE-8BParameters=8B2026.02271021.8—
MUA-4BParameters=4B, Training=w/ SFT2026.0214.81815.8—
ToolACE-4BParameters=4B2026.02131413.3—
Claude Sonnet 4.5Variant=Sonnet 4.52026.01———84.7
DeepSeek-V3.2 ThinkingThinking Mode=true2026.01———80.3
Gemini-3.0 ProVariant=Pro2026.01———85.4
GPT-5 HighVariant=High2026.01———80.2
Kimi-K2 ThinkingThinking Mode=true2026.01———74.3
MiMo-V2-FlashVariant=Flash2026.01———80.3