DeepSeek V4 Flash 0731 API model profile

Evidence snapshot: 2026-08-12

DeepSeek V4 Flash 0731 is a DeepSeek model profile with a 1,048,576-token context window. The dated catalog snapshot records text modalities and interfaces for coding, prompt caching, reasoning, reasoning controls, structured output.

DeepSeek V4 Flash 0731 is available under the Kendr alias kc-deepseek-v4-flash-0731. Current account availability and customer credit quotes come from Kendr's live public model API and applicable account policy.

DeepSeek V4 Flash 0731 accepts text and returns text. The snapshot records coding, prompt caching, reasoning, reasoning controls, structured output, text generation, tool calling, and tools as capabilities or interfaces.

DeepSeek V4 Flash 0731 ranked #1 in the cited trailing-7-day third-party catalog usage dataset as of 2026-08-12. Observed within the cited trailing-7-day third-party catalog usage dataset; this is not global AI market share.

Profile data was reviewed for the 2026-08-12 snapshot. Claims retain their source dates, and unavailable fields are shown as unavailable instead of estimated.

Profile facts

Profile type: Kendr API model
Kendr API alias: kc-deepseek-v4-flash-0731
Model developer: DeepSeek
Kendr route provider: QwenCloud
Context window: 1M
Snapshot date: 2026-08-12
Reference catalog ID: deepseek/deepseek-v4-flash-0731

Context, modalities, and identity

Model developer: DeepSeek
Kendr route provider: QwenCloud
Context window: 1M
Maximum output: 384,000 tokens
Input modalities: text
Output modalities: text
Knowledge cutoff: Not disclosed

Capabilities and supported controls

Capabilities and parameters are reported from the dated catalog and source records; their presence does not guarantee identical behavior across every provider route.

Supported parameters: frequency_penalty, include_reasoning, logit_bias, logprobs, max_tokens, min_p, parallel_tool_calls, presence_penalty, reasoning, reasoning_effort, repetition_penalty, response_format, seed, stop, structured_outputs, temperature, tool_choice, tools, top_a, top_k, top_logprobs, top_p

coding
prompt caching
reasoning
reasoning controls
structured output
text generation
tool calling
tools

Dated pricing snapshot

Reference figures are dated 2026-08-12; the live Kendr quote can differ by selected provider route, context tier, caching, tools, region, and current rate card.

Price date: 2026-08-12
Input: $0.08 per 1M tokens
Cached input: $0.016 per 1M tokens
Output: $0.18 per 1M tokens

Benchmark evidence and limitations

Third-party catalog fields normalized from the cited model dataset; benchmark methodology and coverage differ by source.

Intelligence Index: 51.8
Coding Index: 69.1
Agentic Index: 48.4

Design Arena category	Elo	Win rate	Rank
3d	1271	52.4%	#26
codecategories	1260	47.7%	#31
dataviz	1196	40.4%	#50
gamedev	1260	46.8%	#26
uicomponent	1273	47.7%	#25
website	1261	47.5%	#30

Popularity and market context

Third-party catalog rank: #1
Global market share: Not inferred
Observation date: 2026-08-12

OpenAI-compatible API example

This example applies to the published Kendr alias on this hosted profile. Check the live public catalog before use.

curl https://api.kendr.org/v1/chat/completions \
  -H "Authorization: Bearer $KENDR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"kc-deepseek-v4-flash-0731","messages":[{"role":"user","content":"Hello"}]}'

Frequently asked questions

What is DeepSeek V4 Flash 0731?

What context window does DeepSeek V4 Flash 0731 have?

The dated profile lists 1M of context and up to 384,000 output tokens. Provider routes, variants, and runtime configuration can impose lower effective limits.

What benchmark evidence is available for DeepSeek V4 Flash 0731?

The 2026-08-12 snapshot includes 3 Artificial Analysis indexes and 6 Design Arena categories. Publisher-reported launch results are labeled and are not presented as Kendr measurements; scores from different suites are not treated as interchangeable. Third-party catalog fields normalized from the cited model dataset; benchmark methodology and coverage differ by source.

What is the Kendr API alias for DeepSeek V4 Flash 0731?

Use kc-deepseek-v4-flash-0731 as the model value. The live public model API and signed-in catalog remain authoritative for route availability and customer credit quotes.

How is DeepSeek V4 Flash 0731 priced on Kendr?

The dated reference snapshot lists $0.08 input and $0.18 output per million tokens. Cached input is $0.016 per million tokens. The separately published provider-route reference is $0.20 / $0.40 ($0.04/M implicit cached input). Kendr applies one 5% markup to configured provider model cost; the live quote and settled routing receipt are authoritative for a request.

Sources and evidence dates

DeepSeek V4 Flash 0731 third-party catalog record (catalog, checked 2026-08-12)
Third-party model catalog methodology (methodology, checked 2026-08-12)
DeepSeek official model documentation (primary, checked 2026-08-12)
Artificial Analysis capability indices methodology (benchmark, checked 2026-08-12)
Design Arena leaderboard and methodology (benchmark, checked 2026-08-12)
DeepSeek V4 Flash 0731 provider or route reference (primary, checked 2026-08-12)