DeepSeek V4 Flash API model profile

Profile facts

Profile type

Kendr API model

Kendr API alias

kc-deepseek-v4-flash

Model developer

DeepSeek

Kendr route provider

DeepSeek

Context window

1M

Snapshot date

2026-09-06

Knowledge cutoff

Not disclosed

Reference catalog ID

deepseek/deepseek-v4-flash

When to pick DeepSeek V4 Flash

DeepSeek V4 Flash is worth reaching for when you need a route priced in the cheapest quarter of the catalog and carrying one of the widest context windows in the catalog. The conditions below are the ones its own numbers support.

Each condition below is derived from this model's own values in the 2026-09-06 snapshot, compared only against models publishing the same field.

• Reach for it when cost is the binding constraint. At $0.068 in and $0.16 out per 1M tokens, combined token price sits in the cheapest quarter of the 146 models publishing both rates in this snapshot.
• Reach for it when a whole corpus has to fit in one prompt. The 1.05M-token context window is in the top quarter of the 163 models publishing a limit here, so long documents can go in whole rather than chunked.
• Reach for it when the model has to call tools. Tool calling is recorded in the snapshot, so this route can drive an agent loop rather than only answer in prose.
• Reach for it when you want to trade depth against cost per call. Reasoning effort is selectable across xhigh, high, so one route can serve both cheap and deep work.

Context, modalities, and identity

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

Model developer

DeepSeek

Kendr route provider

DeepSeek

Context window

1M

Maximum output

384,000 tokens

Input modalities

text

Output modalities

text

Knowledge cutoff

Not disclosed

Model overview

DeepSeek V4 Flash is an efficiency-optimized Mixture-of-Experts model from DeepSeek with 284B total parameters and 13B activated parameters, supporting a 1M-token context window. It is designed for fast inference and high-throughput workloads, while maintaining strong reasoning and coding performance. The model includes hybrid attention for efficient long-context processing. Reasoning efforts high and xhigh are supported; xhigh maps to max reasoning. It is well suited for applications such as coding assistants, chat systems, and agent workflows where responsiveness and cost efficiency are important.

Reference model ID

deepseek/deepseek-v4-flash

Canonical version

deepseek/deepseek-v4-flash-20260423

Hugging Face ID

deepseek-ai/DeepSeek-V4-Flash

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_completion_tokens, max_tokens, min_p, 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
• web search

Dated pricing snapshot

The dated reference snapshot lists $0.0679 input and $0.1596 output per million tokens. Cached input is $0.01596 per million tokens. The separately published provider-route reference is Route-specific (From $0.14 / $0.28 depending on the selected route; up to $0.45 / $1.35 (cache from $0.02/M)).

Reference figures are dated 2026-09-06; the live Kendr quote can differ by selected provider route, context tier, caching, tools, region, and current rate card.

Price date

2026-09-06

Input

$0.0679 per 1M tokens

Cached input

$0.01596 per 1M tokens

Output

$0.1596 per 1M tokens

Provider routes, performance, and uptime

The snapshot retains 15 provider endpoints. Provider prices, context limits, p50 performance, and uptime can differ by route and are not Kendr guarantees.

Active provider endpoints

15

Best p50 latency

0.72 s

Best p50 throughput

78 tok/s

Availability with routing

99.84% over the sampled window

Availability without routing

97.53% over the sampled window

Performance date

2026-09-06

Benchmark evidence and limitations

The 2026-09-06 snapshot includes 2 Artificial Analysis indexes, 8 Design Arena categories, and AutoExacto results for 23 provider observations. 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.

Coding Index

56.2

Agentic Index

23.8

AutoExacto coverage

23 provider observations over 32 days

AutoExacto provider benchmarks

Rolling provider observations from the cited third-party benchmark view. The lookback is 32 days; GPQA Diamond and TAU-Bench Airline measure different abilities and should not be blended into one score.

Popularity and market context

DeepSeek V4 Flash ranked #6 in the cited trailing-7-day third-party catalog usage dataset as of 2026-09-06. Observed within the cited trailing-7-day third-party catalog usage dataset; this is not global AI market share.

Third-party catalog rank

#6

Global market share

Not inferred

Observation date

2026-09-06

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","messages":[{"role":"user","content":"Hello"}]}'

Frequently asked questions

Sources and evidence dates

1. DeepSeek V4 Flash third-party catalog record (catalog, checked 2026-09-06)
2. Third-party model catalog methodology (methodology, checked 2026-09-06)
3. DeepSeek official model documentation (primary, checked 2026-09-06)
4. Artificial Analysis capability indices methodology (benchmark, checked 2026-09-06)
5. Design Arena leaderboard and methodology (benchmark, checked 2026-09-06)
6. DeepSeek V4 Flash third-party catalog record (benchmark, checked 2026-09-06)
7. DeepSeek V4 Flash provider or route reference (primary, checked 2026-09-06)