DeepSeek V4 Flash GA (deepseek-v4-flash-ga-260731) Responses API reference and playground: chained explicit caching that hits the entire prior context on every round.
POST
/
v1
/
responses
Responses: DeepSeek V4 Flash text generation (with chained explicit cache)
curl --request POST \ --url https://api.apiyi.com/v1/responses \ --header 'Authorization: Bearer <token>' \ --header 'Content-Type: application/json' \ --data '{ "model": "deepseek-v4-flash-ga-260731", "input": "Explain the MoE architecture in one sentence."}'
Use the playground on the right to test directly: put Bearer sk-your-api-key in
Authorization. The default example already carries caching: {"type": "enabled"} and
store: true — the first-call write shape for chained explicit caching.
Responses adds an explicit cache layer over Chat Completions. For capabilities, pricing
and thinking control, see the
DeepSeek V4 Flash overview.
text.format json_schema has no effect: returns 200 while ignoring the schema; 3/3 responses were wrapped in code fences and failed to parse
web_search backend is unusable: the tool is wired (web_search_call items appear with status: completed) but 6/6 searches errored and returned no results
mcp returns AccessDenied: an account/channel-level built-in-tool entitlement — a valid server URL gives the same result
Text-only model — passing images returns Model do not support image input
Common mistake: resending the same long prefix twice with caching set leaves
cached_tokens at 0. The explicit cache is not prefix-matched — you must chain the
session with previous_response_id.
The correct pattern: send the full document on the first call to write the cache, then send
only the new question while chaining the previous id.
Round
Call shape
input_tokens
cached_tokens
Latency
1 (write)
caching: enabled + store: true
15,629
0
4.10s
2
+ previous_response_id
15,664
15,629
5.18s
3
+ previous_response_id
15,701
15,664
4.57s
4
+ previous_response_id
15,738
15,701
4.54s
Each round hits the entire prior context. For follow-up questions over a long document, this
is far cheaper than resending the full text every turn.
Without caching, the implicit cache still applies: repeating an identical long prefix hit
99.9% (15,633 → 15,616). Choose per scenario — one prefix reused across many independent
requests suits the implicit cache, while one session with successive follow-ups suits
chained explicit caching.
Usage. input_tokens_details.cached_tokens is the cache hit; output_tokens_details.reasoning_tokens is reasoning spend
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