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DeepSeek · Official-source model record

DeepSeek-V4-Pro-0813

DeepSeek · Version DeepSeek-V4-Pro-0813

AvailableChecked Oct 23, 2026
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Publisher-sourced inventory. Specifications come from official documentation and model cards. “Not documented” means we have no verified value. This inventory is separate from our editorial reviews.

Coverage & sources ↗

Current catalog answers

What to know about DeepSeek-V4-Pro-0813

AI-compiled from linked model documentation. This is a catalog reference, not an independent performance review. Catalog checked October 23, 2026.

Which DeepSeek-V4-Pro-0813 does this page describe?

DeepSeek-V4-Pro-0813 is a model record from DeepSeek in the DeepSeek family. Source

The recorded model identifier or checkpoint is DeepSeek-V4-Pro-0813. Use that exact identifier when checking documentation or a provider listing. Source

How can you access DeepSeek-V4-Pro-0813?

The catalog documents API and Open weights access for DeepSeek-V4-Pro-0813. Source 1 · Source 2

As of the catalog check, this version was listed as available. Source

For API use, confirm the exact model identifier, your account and region, and the endpoint's current limits in the linked documentation. An API listing does not establish access through a consumer subscription.

Open weights means the model weights are distributed for use under their stated terms. It does not establish a hosted API, an open-source license, or a hardware requirement. This record documents API access separately.

How much does DeepSeek-V4-Pro-0813 cost?

The recorded token rates for DeepSeek-V4-Pro-0813 are:

  • Input: US$1.32 per 1 million input tokens. Source
  • Output: US$3.96 per 1 million output tokens. Source

Rate conditions: Published standard USD per million tokens, uncached input; region, prompt length, caching and service-tier adjustments may apply. See official source. Source 1 · Source 2

Illustrative arithmetic: 10,000 input tokens plus 2,000 output tokens would cost US$0.02112 at those recorded rates. This assumes every token is billed at the displayed rate and excludes any cache, batch, tool, storage or tier adjustments; it is not a quote or measured usage.

Check the source's pricing conditions before budgeting. A token rate does not state the price of an app subscription or the full cost of running downloaded weights.

What are DeepSeek-V4-Pro-0813's context and output limits?

The documented context window is 1,000,000 tokens. Source

A separate maximum-output value is not established in this record. The context or input figure should not be used as an output allowance.

Context, input and output limits describe different constraints. Do not add the figures together to infer a larger window. Check the endpoint's accounting for conversation history, system instructions, tools, media and generated tokens; a documented maximum is not a guarantee of answer quality or a measured usable capacity.

What can DeepSeek-V4-Pro-0813 receive and generate?

Documented inputs: text. Source

Documented outputs: text. Source

Input support and output generation are separate capabilities. Reading an image does not establish image generation; a text output listing does not establish speech output. File sizes, formats and media limits depend on the documented implementation.

What license is recorded for DeepSeek-V4-Pro-0813?

The recorded license label is mit. Source

Read the linked license and associated use terms for this exact version before redistribution, commercial deployment or fine-tuning. A label alone does not establish every permission, restriction or obligation, and it does not determine the terms of a separate hosted service.

What is documented about the DeepSeek-V4-Pro-0813 checkpoint?

This evidence refers to deepseek-ai/DeepSeek-V4-Pro-0813 at recorded revision 72e1d3230f6c080a530b0a1d46f8eb4602340597, checked October 23, 2026. Repository metadata

Safetensors metadata records 1,650,497,936,906 stored parameters. This is a stored-weight count, not necessarily the number activated per token, a download size or a GPU-memory requirement. Repository metadata

Recorded architecture class: DeepseekV4ForCausalLM. Repository metadata

Repository task tag: text-generation. A task tag identifies a distribution category; it does not measure performance on that task. Repository metadata

Listed library: transformers. Check that library's version and model support before loading the weights. Repository metadata

Repository access gate: false. This records the repository's gate setting when checked; licensing and use terms still apply. Repository metadata

What the configuration file says

The pinned config.json contains these values. Pinned configuration

max_position_embeddings
1,048,576
rope_scaling
{"beta_fast":32,"beta_slow":1,"factor":16,"original_max_position_embeddings":65536,"type":"yarn"}
sliding_window
128
torch_dtype
bfloat16
num_attention_heads
128
num_key_value_heads
1
num_hidden_layers
61
hidden_size
7,168

Configuration values describe the checkpoint and its implementation. In particular, max_position_embeddings, sliding_window and rope_scaling do not independently establish an API context limit, tested usable length or hardware requirement. Runtime, quantization, cache, batch size and input length affect deployment behavior.

Read the retrieved model card for setup and qualifications. Model card

Keep the exact version in view

Other DeepSeek models from DeepSeek.

These are separate records in the same publisher family. A shared family name does not establish equal capabilities or interchangeable licenses.

The documented record

Specifications, with their sources.

A missing value remains unknown. Input limits, output limits and the total context window are separate measurements.

Publisher
DeepSeekSource ↗
Family
DeepSeekSource ↗
Version
DeepSeek-V4-Pro-0813Source ↗
Availability
AvailableSource ↗
Access
API · Open weightsSource 1 ↗Source 2 ↗
Inputs
TextSource ↗
Outputs
TextSource ↗
Context window
1,000,000 tokensSource ↗
Maximum input
Not documented
Maximum output
Not documented
Knowledge cutoff
Not documented
Training-data cutoff
Not documented
Training completed
Not documented
Release date
Not documented
License
mitSource ↗
Input price / 1M tokens
$1.32Source ↗
Output price / 1M tokens
$3.96Source ↗

Read this with the numbers.

Official publisher weight listing; availability refers to this distribution, not a guaranteed hosted API. Base, SFT and research variants are identified by their exact published names. API documentation reports a 1M context and 384K maximum output; exact integer output ceiling is not independently specified, so maxOutputTokens is null. Prices shown are standard peak-period uncached rates; off-peak rates are lower. The current hosted API routes the stable deepseek-v4-pro identifier to this version. That stable string is kept on its separate official weight identity rather than duplicated as an alias here. Publisher repository evidence (2026-10-23): Publisher task label: text-generation. Published architecture metadata: DeepseekV4ForCausalLM. Repository library label: transformers. Published safetensors metadata counts 1,650,497,936,906 stored parameters; this is not an active-parameter count for mixture-of-experts models. Published configuration: max_position_embeddings=1048576; sliding_window=128; dtype=bfloat16; 61 hidden layers. The configuration includes explicit RoPE scaling ({"beta_fast":32,"beta_slow":1,"factor":16,"original_max_position_embeddings":65536,"type":"yarn"}); no effective context extension is inferred. Checkpoint configuration is not a verified hosted serving limit; context and output limits remain separate documented fields.

Published standard USD per million tokens, uncached input; region, prompt length, caching and service-tier adjustments may apply. See official source.

Model identifiers and aliases 2
  • DeepSeek-V4-Pro-0813
  • deepseek-ai/DeepSeek-V4-Pro-0813

Follow the evidence

Official sources.

  1. Official DeepSeek model documentation ↗api-docs.deepseek.com
  2. DeepSeek-V4-Pro-0813 official model card ↗huggingface.co
  3. DeepSeek-V4-Pro-0813: official publisher repository metadata ↗huggingface.co
  4. DeepSeek-V4-Pro-0813: publisher model card at revision 72e1d3230f6c ↗huggingface.co
  5. DeepSeek-V4-Pro-0813: published checkpoint configuration at revision 72e1d3230f6c ↗huggingface.co

From the Headless Thrones newsroom

Editorial about DeepSeek-V4-Pro-0813

No published articles are linked to this exact model yet. New coverage will appear here as it is published.

Your starting point

DeepSeek-V4-Pro-0813

DeepSeek · API / Open weights

Inputs
TextSource ↗
Outputs
TextSource ↗
Context window
1,000,000 tokensSource ↗
Knowledge cutoff
Not documented

A place to begin comparing

1,203 models to consider.

Matches must share an access route, support every documented input type of your starting model, and return text. When both publish a context limit in the same field, the candidate must fall between half and twice that limit. Unknown or differently defined limits remain as broader matches, after verified near-context matches. Within each group, recent documented releases appear first. These criteria do not establish equal quality. The full current inventory is considered.

MiniMax

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Text input; text output · Shared access: API / Open weights · Documented context within ½–2×

Reflection

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Text input; text output · Shared access: API / Open weights · Documented context within ½–2×

Anthropic

Claude Haiku 5.5

Text input; text output · Shared access: API · Documented context within ½–2×

Mistral AI

Mistral Large 4

Text input; text output · Shared access: API / Open weights · Documented context within ½–2×

Anthropic

Claude Sonnet 5.5

Text input; text output · Shared access: API · Documented context within ½–2×

Anthropic

Claude Opus 5.5

Text input; text output · Shared access: API · Documented context within ½–2×

Xiaomi

mimo-v2.6-flash

Text input; text output · Shared access: API · Documented context within ½–2×

Xiaomi

mimo-v2.6-pro

Text input; text output · Shared access: API · Documented context within ½–2×

Anthropic

Claude Fable 5.1

Text input; text output · Shared access: API · Documented context within ½–2×

Anthropic

Claude Mythos 5.1

Text input; text output · Shared access: API · Documented context within ½–2×

NVIDIA

NVIDIA-Nemotron-Labs-Teacher-Chat

Text input; text output · Shared access: Open weights · Documented context within ½–2×

A record you can follow

The source belongs beside the fact.

Official sources

Model records cite the developer’s documentation, release notes and model cards. A listing alone is not a tested service or a recommendation.

Dates mean different things

Knowledge cutoff, training-data cutoff, training completion and release date are separate fields. A model’s name or repository upload date does not establish any of them.

Limits need context

Some publishers use rounded K/M token figures. Deployment, reasoning settings and regional access can change usable limits. Read the source before choosing.

Coverage and last check

Independent editorial model library assembled from primary vendor documentation and official publisher model cards. This is a dated, auditable inventory of the sources reviewed, not a claim to every model worldwide. First-party language-model inventory for OpenAI, Anthropic, Google Gemini/Gemma, xAI, Meta and Reflection. Includes vendor-listed legacy/retired identities with explicit statuses; official pretrained and instruction-tuned checkpoints remain distinct. Excludes embeddings, moderation/guard models, image/audio/video-only generation, community fine-tunes, speculative draft helpers, format/runtime/quantization duplicates, and PaliGemma dataset-specific benchmark fine-tunes. Availability means documented vendor API or downloadable official weights, not guaranteed account eligibility. Unknown specifications and dates remain null. Rounded K/M limits preserve vendor granularity; exact integers are used only where documented. No OpenRouter facts are used. Primary-source inventory of language-capable models from Alibaba/Qwen, DeepSeek, Moonshot, MiniMax, Z.ai, ByteDance Seed, Tencent, Baidu, Xiaomi, StepFun, 01.AI, Shanghai AI Laboratory, Baichuan and OpenBMB. Includes full reachable official public weight inventories plus documented hosted API models and explicit retirements. Embeddings, reward/classifier/router/tokenizer/draft-head components, standalone OCR/document converters and image/video/audio-only generators are excluded; multimodal language models retained. Official packaging variants are folded into aliases where a canonical listing was identifiable; remaining research/base/SFT variants retain exact identities. Not a guarantee every historical/private/regional model is available. Unknown specifications remain null; K/M API display quantities use decimal normalization where explicitly noted, rather than implying verified exact serving ceilings. Model-name dates and repository creation timestamps are never used as release/training dates. Open weights does not mean unrestricted or OSI-open-source licensing. Some model-card bodies were unreachable; their public inventory metadata is retained and disclosed. Official Mistral, Cohere, AI21, NVIDIA Nemotron, Microsoft Phi/MAI, Amazon Nova, IBM Granite, AllenAI OLMo/Molmo, TII Falcon, Nous Research, Arcee and Essential AI model inventory checked 2026-10-23. Includes base, instruction, reasoning, coding and text-producing multimodal models, including legacy API versions. Excludes embeddings/rerankers/reward and safety classifiers, image/audio/video-only generation, robotics-only models, duplicate quantization/runtime packages, adapters, intermediate checkpoint experiments, and third-party mirrors. Arcee coverage focuses on its named product families rather than exploratory merge repositories. Repository listing means listed, not independently verified API availability. K/M figures are nominal decimal normalizations when the source supplies shorthand; deployment-specific exact token limits may differ. Unverified values remain null. This is a source-backed inventory, not a complete claim-level independent editorial review. Supplemental official Liquid AI, Reka and Inception generative language catalog. Excludes media-only generators and decision/classification-only models. No assumed training dates.

Catalog edition updated . Source links are provided on each model record.

View the full coverage report and discovery sources ↗