DeepSeek V4 Pro 0813 model profile

Profile facts

Profile type

Model research profile

Provider or publisher

DeepSeek

Context window

1,048,576 tokens

Snapshot date

2026-10-13

Knowledge cutoff

Not disclosed

Reference catalog ID

deepseek/deepseek-v4-pro-0813

When to pick DeepSeek V4 Pro 0813

DeepSeek V4 Pro 0813 is a reference profile: DeepSeek publishes it, Kendr documents it for comparison, and it carries no Kendr alias to call.

Each condition below is derived from this model's own values in the 2026-10-13 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 167 models publishing a limit here, so long documents can go in whole rather than chunked.
• Reach for it when answer quality matters more than unit cost. It scores 36.0 on the Artificial Analysis intelligence index, above three quarters of the 119 models carrying that field in the 2026-10-13 snapshot.
• 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 max, high, low, so one route can serve both cheap and deep work.
• Look elsewhere when you need to call it through Kendr today. This is a research reference profile with no Kendr alias. The facts and evidence here are published for comparison; the model is not routable on Kendr.

Context, modalities, and identity

DeepSeek V4 Pro 0813 accepts text and returns text. The snapshot records prompt caching, reasoning controls, structured output, text generation, and tool calling as capabilities or interfaces.

Provider or publisher

DeepSeek

Context window

1,048,576 tokens

Maximum output

393,216 tokens

Input modalities

text

Output modalities

text

Knowledge cutoff

Not disclosed

Model overview

DeepSeek V4 Pro 0813 is a large-scale mixture-of-experts model from DeepSeek. This is the GA release of DeepSeek V4 Pro.

Reference model ID

deepseek/deepseek-v4-pro-0813

Canonical version

deepseek/deepseek-v4-pro-20260813

Hugging Face ID

deepseek-ai/DeepSeek-V4-Pro-0813

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, presence_penalty, reasoning, reasoning_effort, repetition_penalty, response_format, seed, stop, structured_outputs, temperature, tool_choice, tools, top_k, top_logprobs, top_p

• prompt caching
• reasoning controls
• structured output
• text generation
• tool calling

Dated pricing snapshot

The dated reference snapshot lists $0.25 input and $1.98 output per million tokens. Cached input is $0.022 per million tokens.

These are dated third-party reference prices, not Kendr prices or an availability offer. Routes, tiers, caching, region, and provider policy can change the landed price.

Price date

2026-10-13

Input

$0.25 per 1M tokens

Cached input

$0.022 per 1M tokens

Output

$1.98 per 1M tokens

Provider routes, performance, and uptime

The snapshot retains 22 provider endpoints. Provider prices, context limits, p50 performance, and uptime can differ by route and are not Kendr guarantees.

Active provider endpoints

21

Best p50 latency

No recent metric

Best p50 throughput

No recent metric

Availability with routing

No recent metric

Availability without routing

No recent metric

Performance date

2026-10-13

Benchmark evidence and limitations

The 2026-10-13 snapshot includes 3 Artificial Analysis indexes. 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.

Intelligence Index

36

Coding Index

68.8

Agentic Index

41.3

Popularity and market context

DeepSeek V4 Pro 0813 ranked #24 in the cited trailing-7-day third-party catalog usage dataset as of 2026-10-13. Observed within the cited trailing-7-day third-party catalog usage dataset; this is not global AI market share.

Third-party catalog rank

#24

Global market share

Not inferred

Observation date

2026-10-13

Frequently asked questions

Sources and evidence dates

1. DeepSeek V4 Pro 0813 third-party catalog record (catalog, checked 2026-10-13)
2. Third-party model catalog methodology (methodology, checked 2026-10-13)
3. DeepSeek official model documentation (primary, checked 2026-10-13)
4. Artificial Analysis capability indices methodology (benchmark, checked 2026-10-13)