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Evals for DeepSeek

8 evaluation packs covering adversarial robustness, safety gates, workflow quality, and operator-level checks for DeepSeek AI products.

AI Platform
Use evals for DeepSeek

About DeepSeek

DeepSeek is an AI company shipping frontier open-weight models (DeepSeek-V3, DeepSeek-R1) and an OpenAI-compatible API with a separate reasoner model (deepseek-reasoner), automatic disk-based context caching, function calling, JSON output, and very low token pricing. The models are released under an MIT license alongside the hosted API.

Employees

~200

Industry

Foundation Model

Headquarters

Hangzhou, China

Available eval packs for DeepSeek

8 packs ready to run.

Why eval DeepSeek AI

DeepSeek's AI features ship behind brand promises about accuracy, safety, and reliability. Buyers and integrators need to know those promises hold up under adversarial prompts, edge-case workflows, and the long tail of real customer inputs — not just the demo path.

The Corsac eval library for DeepSeek measures four dimensions teams care about most when deploying ai platform agents:

  • Adversarial robustness — does the agent resist prompt injection, jailbreaks, and social-engineering attempts?
  • Workflow quality— does it complete the task buyers were shown in the demo, on inputs that don't look like the demo?
  • Safety gates — does it escalate or refuse when it should, and only then?
  • Operator quality — does it preserve analyst trust by surfacing the right context at the right time?

Every eval pack above is hand-authored against DeepSeek's public product surface and runnable in Corsac with your own data.