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τ³-Banking (Mercor run, bm25_grep retrieval)

Agents

Mercor's run of τ³-Banking, the 97-task banking_knowledge domain of tau2-bench v1.0.1, in which a support agent searches about 700 bank policy documents and uses tools to resolve a simulated customer's issue, graded on the final database state and the agent's actions. Mercor gives each agent the offline bm25_grep retrieval profile in Tau's half-duplex agent (200 steps, 10 tool errors, 3 hours), simulates the user with GPT-5.2 at low reasoning effort, has Gemini 3.5 Flash judge the one natural-language assertion, and averages pass@1 over three runs. Kept as a protocol component beside the all-tools and BM25 runs in the banking family.

Top models (higher is better)

ModelScore
Kimi K3.1 Pro61.5
Gemini 4 Argon58.1
Gemini 4 Carbon55.7
Claude Opus 5.555.0
Claude Fable 5.154.0
Claude Sonnet 5.554.0
Muse Spark 1.352.2
Muse Wonder51.9
Gemini 3.8 Flash48.8
GPT-6 Astra46.7
Grok 4.645.7
Claude Opus 544.0
Claude Haiku 5.543.0
GPT-5.6 Sol Pro43.0
GPT-6.1 Sol43.0
GPT-6 Sol43.0
DeepSeek V4.1 Flash 101741.6
GLM-5.340.5
Mercury 340.5
DeepSeek V4 Pro 081340.2
GPT-6 Luna40.2
GPT-5.6 Terra38.8
DeepSeek V4.1 Flash37.8
GLM-5.3 Flash37.8
GPT-6.1 Terra37.1
MiniMax M3.1 Flash36.1
GPT-5.6 Luna35.7
Kimi K334.7
Beam 1.0 501B A23B33.0
Grok 4.732.6
MiniMax M321.0
Gemini 3.5 Flash-Lite18.6
Nemotron 3 Ultra 550B A55B (NVFP4)18.6
Inkling15.5
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