DeepSeek V4 Pro API model profile

Profile facts

Profile type

Kendr API model

Kendr API alias

kc-deepseek-v4-pro

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-pro

When to pick DeepSeek V4 Pro

DeepSeek V4 Pro is worth reaching for when you need a route 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 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 Pro accepts text and returns text. The snapshot records agentic, 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 Pro is a large-scale Mixture-of-Experts model from DeepSeek with 1.6T total parameters and 49B activated parameters, supporting a 1M-token context window. It is designed for advanced reasoning, coding, and long-horizon agent workflows, with strong performance across knowledge, math, and software engineering benchmarks. Built on the same architecture as DeepSeek V4 Flash, it introduces a hybrid attention system for efficient long-context processing. Reasoning efforts high and xhigh are supported; xhigh maps to max reasoning. It is well suited for complex workloads such as full-codebase analysis, multi-step automation, and large-scale information synthesis, where both capability and efficiency are critical

Reference model ID

deepseek/deepseek-v4-pro

Canonical version

deepseek/deepseek-v4-pro-20260423

Hugging Face ID

deepseek-ai/DeepSeek-V4-Pro

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_k, top_logprobs, top_p

• agentic
• coding
• prompt caching
• reasoning
• reasoning controls
• structured output
• text generation
• tool calling
• tools
• web search

Dated pricing snapshot

The dated reference snapshot lists $0.63684 input and $1.2 output per million tokens. Cached input is $0.05307 per million tokens. The separately published provider-route reference is Route-specific (From $0.435 / $0.87 depending on the selected route; up to $2.40 / $4.80 ($0.20/M cached)).

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

$0.63684 per 1M tokens

Cached input

$0.05307 per 1M tokens

Output

$1.2 per 1M tokens

Provider routes, performance, and uptime

The snapshot retains 17 provider endpoints. Provider prices, context limits, p50 performance, and uptime can differ by route and are not Kendr guarantees.

Active provider endpoints

16

Best p50 latency

0.54 s

Best p50 throughput

70 tok/s

Availability with routing

99.72% over the sampled window

Availability without routing

90.10% over the sampled window

Performance date

2026-09-06

Benchmark evidence and limitations

The 2026-09-06 snapshot includes 2 Artificial Analysis indexes, 11 Design Arena categories, and AutoExacto results for 21 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

59.4

Agentic Index

27.9

AutoExacto coverage

21 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 Pro ranked #18 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

#18

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

Frequently asked questions

Sources and evidence dates

1. DeepSeek V4 Pro 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 Pro third-party catalog record (benchmark, checked 2026-09-06)
7. DeepSeek V4 Pro provider or route reference (primary, checked 2026-09-06)