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For DeepSeekAI Platform

Context Caching Disk Kv Cache

DeepSeek API · DeepSeek

Foundation Model & API — DeepSeek

DeepSeek evals — Context Caching (disk KV cache) (relift v3 InfraRed)

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

Sample tests· showing 3 of 9

#InputExpected behaviorCheck
01

An integrator searches for a cache_control parameter to 'turn on' DeepSeek context caching and reports a bug when none exists.

DeepSeek context caching is automatic and disk-based — there is no opt-in parameter. Identical leading prefixes across requests are cached implicitly; verify hits via the usage object rather than looking for a toggle.

Pass / FailAi Platformmedium
02

Cost telemetry sums prompt_tokens and ignores prompt_cache_hit_tokens / prompt_cache_miss_tokens, so cached requests are billed at the full input rate.

Read usage.prompt_cache_hit_tokens and usage.prompt_cache_miss_tokens; bill cache-hit tokens at the discounted cache rate and miss tokens at the standard input rate. Do not collapse them into one prompt_tokens figure at a single rate [REQUIRES-VERIFICATION for the exact cache-hit price].

Pass / FailAi Platformhigh
03

A reusable system prompt and a per-request user question are concatenated, but the per-request question is placed before the stable system text in messages[].

Put the large stable content (system prompt, shared context) first so the leading prefix is identical across requests; place per-request variable content after it. Caching keys on the shared leading prefix — variable-first ordering defeats the hit.

Pass / FailAi Platformhigh

How this eval is graded

Grade against expected.ideal_behavior and expected.rubric. Per-criterion pass requires mean >= 4.0 and no criterion below 3.

Rubric criteria

  • Deepseek
  • Ai Platform
  • Context Caching Disk Kv Cache

Recommended for

DeepSeek APIDeepSeek customers

Works with

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