DeepSeek-V4-Pro-0813
DeepSeekfamily · DeepSeekapi-docs.deepseek.com/quick_start/pricing
DeepSeek V4 Pro 0813 is a large-scale mixture-of-experts model from DeepSeek. This is the GA release of DeepSeek V4 Pro.
Updated 5 h ago · first seen 11 Sept 2026
model_01M293WR72MZADET5XMEQDT9QV
Overview
Identity
- Canonical model
- Yesidentity confidence: mediumOne row per real model release. Artifacts (checkpoints, quantisations, conversions) and folded evaluation variants point here.
- Official checkpoints
- official_checkpoints = hf_repo identifiers carried by the model itself; artifacts are separate entities pointing here through canonical_id.
- Artifacts
- None recordedSeparate entities (checkpoint · quantization · conversion · packaging) pointing to this model through canonical_id.
- Provider deployments
- 4
- API aliases
- deepseek-v4-prodeepseek/deepseek-v4-pro-0813fireworks/deepseek-v4-pro-0813Identifiers under which providers and evaluators refer to this model.
- Folded evaluation variants
- 0Effort / thinking variants (…-high, …-non-reasoning) are result configurations of this model, not separate models. Their old URLs redirect here.
Openness
Open weights— weights downloadable; 7 dimensions unknown.
Weights downloadable under a permissive or Creative Commons licence allowing commercial use; code or data may be missing.
Weights
Yes
Inference code
—
Training code
—
Training data
—
Dataset
—
Commercial use
—
Redistribution
—
Derivatives
—
dimensions marked null are unknown, not false
Key facts
- Release date
Source:OpenRouter public model & pricing listingT2observed 15 h agomedium
- Official page
Source:DeepSeek — site & API docsT1observed 15 h agohigh
- API model id
Source:DeepSeek — site & API docsT1observed 15 h agohigh
- Openrouter id
Source:OpenRouter public model & pricing listingT2observed 15 h agomedium
Architecture
- Tokenizer
Source:OpenRouter public model & pricing listingT2observed 15 h agomedium
- Hugging Face repo
Source:OpenRouter public model & pricing listingT2observed 15 h agomedium
Capabilities
Modalities
- Modalities
- text
- Input
- text
- Output
- text
Capabilities
Tool calling
Yes
DeepSeek — site & API docs · T1
Structured output
Yes
DeepSeek — site & API docs · T1
Reasoning
Yes
DeepSeek — site & API docs · T1
Vision
No
DeepSeek — site & API docs · T1
Audio
Unavailable
Fine-tuning available
Unavailable
- Context window
Source:DeepSeek — site & API docsT1observed 15 h agohigh
- Max output
Source:DeepSeek — site & API docsT1observed 15 h agohigh
- Tokenizer
Source:OpenRouter public model & pricing listingT2observed 15 h agomedium
Benchmarks8
Compare with another model →Comparable same task and conditions · Partially comparable same task, conditions differ (effort, temperature, judge) · Not comparable different variant or metric
Current rows only, grouped by benchmark → canonical metric → comparability group (task configuration). Effort variants folded into this model appear as rows of the same group. 8 current rows in total. “vs leader” compares with the current leader of the benchmark's primary group only; other groups are not directly comparable. Comparability rules →
Providers & Pricing7
All offers in the price terminal →USD per 1M tokens as published by each provider; native units (per-request fees, flex/priority tiers) are kept verbatim. Rows are append-only — every price change is kept in the history below. Cost of a workload →
Price history
Output price · USD / 1M tokens 4 providers
- DeepSeek API
- Fireworks AI
- Together AI
- OpenRouter
- OpenRouter$1.73 → $1.9812 Sept 2026
- OpenRouterfirst observed $1.7312 Sept 2026
- DeepSeek API$1.98 → $1.7312 Sept 2026
- Together AIfirst observed $3.9611 Sept 2026
- DeepSeek API$1.74 → $1.9811 Sept 2026
- DeepSeek API$3.96 → $1.7411 Sept 2026
- Fireworks AIfirst observed $3.9611 Sept 2026
- DeepSeek APIfirst observed $3.9611 Sept 2026
Input price · USD / 1M tokens 4 providers
- DeepSeek API
- Fireworks AI
- Together AI
- OpenRouter
- OpenRouter$0.578 → $0.6612 Sept 2026
- OpenRouterfirst observed $0.57812 Sept 2026
- DeepSeek API$0.66 → $0.57812 Sept 2026
- Together AIfirst observed $1.3211 Sept 2026
- DeepSeek API$0.579 → $0.6611 Sept 2026
- DeepSeek API$1.32 → $0.57911 Sept 2026
- Fireworks AIfirst observed $1.3211 Sept 2026
- DeepSeek APIfirst observed $1.3211 Sept 2026
Versions & Artifacts0
Version history
Context windowfirst observation only
11 Sept 2026current
Max outputfirst observation only
11 Sept 2026current
Opennessfirst observation only
12 Sept 2026current
Each hop is a claim: click a value for its source, tier and observation time. Nothing is overwritten — a new observation closes the previous claim.
Artifacts 0
No artifact (checkpoint, quantisation, conversion or packaging) points to this model yet.
Timeline3
Full timeline →OpenRouter lists DeepSeek-V4-Pro-0813 at $0.66 in / $1.98 out per 1M tokens
openrouterOpenRouter lists DeepSeek-V4-Pro-0813 at $0.57816 in / $1.73448 out per 1M tokens
openrouterDeepSeek API changed pricing for DeepSeek-V4-Pro-0813: $0.57948 in / $1.73844 out per 1M tokens → $0.57816 in / $1.73448 out per 1M tokens
$0.579 in / $1.74 out→$0.578 in / $1.73 outopenrouter
Change history33
Viewing AI Atlas as of 1 Sept 2026 — attributes exactly as the atlas knew them on that day; later corrections are not shown.
Back to today →DeepSeek-V4-Pro-0813 was not yet in AI Atlas on 1 Sept 2026
Familyfamily1
Release daterelease_date1
Opennessopenness1
Context windowcontext_length8conflicting claims
Max outputmax_output_tokens5conflicting claims
Modalitiesmodalities1
Input modalitiesmodalities_input1
Output modalitiesmodalities_output1
Tokenizertokenizer1
API model idapi_model_id1
Hugging Face repohf_repo1
Official pageofficial_url1
Descriptiondescription1
Livebench hf linklivebench_hf_link1
Openrouter idopenrouter_id1
Openrouter listed atopenrouter_listed_at1
Reasoningreasoning1
Structured outputstructured_output1
Supported parameterssupported_parameters1
Tool callingtool_calling1
Visionvision1
Weights availableweights_available1
Claims are temporal and append-only: a new observation closes the previous claim (valid_to) instead of overwriting it. Conflicting claims from different sources are kept side by side and flagged — never averaged. Methodology →
Provenance
Attributed facts
22
Source tiers
T1T29 / 13
Freshest observation
5 h ago
Conflicts
11 flagged
Source documents 5
Tier 1 = official/primary, 2 = quality secondary, 3 = community, 4 = unverified. Every snapshot is archived; see all sources and the methodology.
Data quality (69/100) measures how well AI Atlas knows this entity — completeness, primary-source ratio, freshness, conflicts — never how good the model is. Methodology →