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Cresta-Bench

Agents

Cresta-Bench measures how reliably a model runs a contact-center AI agent: four synthetic agents for real-estate lending, a senior-health callback line, a health-plan provider line, and airline support take calls from an LLM-simulated caller across 181 private test cases. Cresta runs each case three times per model and grades runs with deterministic tool-call checks plus LLM judges. The score is pass^3, the share of cases whose three runs all pass, computed per agent and averaged across the four agents.

Top models (higher is better)

ModelScore
Claude Opus 5.582.6
Claude Sonnet 5.578.0
GPT-6 Sol77.9
Gemini 3.8 Flash76.1
GPT-5.465.1
Gemini 3.6 Flash50.2
GPT-5.249.5
Qwen3.8-Max48.7
GLM-5.343.1
GPT-5.6 Luna38.8
Kimi K334.9
GPT-6 Luna32.7
DeepSeek V4.1 Flash 101732.6
Claude Haiku 5.520.1
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