Atlas / Models / DeepSeek / DeepSeek: DeepSeek V4 Pro 0813 (batch)

DeepSeek: DeepSeek V4 Pro 0813 (batch)✓ Catalog verified

deepseek/deepseek-v4-pro-0813:batch

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

Input price
$1.32 /1M
Output price
$3.96 /1M
Context
1.0M
Modalities
text
Released
Aug 12, 2026
Tool calling
✓ Yes
Atlas signal
90/100
01

Overview

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

Access: available through the official DeepSeek API. Context window: 1.0M.

Pricing and metadata from the ModelsAtlas catalog.Last refreshed Sep 2, 2026
02

Specifications

API identifierdeepseek/deepseek-v4-pro-0813:batch
ProviderDeepSeek
Model typeText LLM
Context window1.0M catalog
Input modalitiestext
Output modalitiestext
ReleasedAug 12, 2026
TokenizerDeepSeek
ModeratedNo
Architecture modalitytext->text
Supported parameters
frequency_penaltyinclude_reasoninglogit_biasmax_tokensmin_ppresence_penaltyreasoningreasoning_effortrepetition_penaltyresponse_formatstopstructured_outputstemperaturetool_choicetoolstop_ktop_p
Source: provider documentation + catalog feedMethodology →

API defaults

Default parameters
{
  "top_p": 1,
  "temperature": 1
}
03

Pricing

Live pricing components for deepseek/deepseek-v4-pro-0813:batch as published in the catalog.

$1.32
Input /1M
$3.96
Output /1M
Per request
Per image
Pricing componentRaw unit priceNormalizedUnit
Prompt tokens$0.00000132$1.32 / 1MPer input token
Completion tokens$0.00000396$3.96 / 1MPer output token
Request feeN/AN/APer request
Image feeN/AN/APer image unit
Web search feeN/AN/APer search request
Source: catalog pricing feedCompare all pricing →Cheapest models →
04

Cost calculator

Estimate monthly spend from your own token volumes.

Scale / Volume

Estimated Total Cost

$1.45Calculated from current list pricing in the ModelsAtlas catalog.
05

Capabilities

CapabilityStatusWhat it means
Visual UnderstandingNot advertisedImage and document analysis support
Audio ProcessingNot advertisedSpeech and voice aligned flows
Tool Calling✓ SupportedSupports tools / function calling
Self-Hosting✓ SupportedDeploy outside managed APIs
Derived from catalog capability tags and supported parameters
06

Capability signals

Directional signals derived from model metadata and capability tags — not official benchmark submissions.

DeepSeek: DeepSeek V4 Pro 0813 (batch)
MMLU Signal (Reasoning)
95signal
Coding Signal (HumanEval proxy)
92signal
Math Signal (GSM8K proxy)
87signal
Science Signal (GPQA proxy)
87signal
Estimated from metadata — not an official benchmark runAll benchmarks →Methodology →
07

Quick start

Call DeepSeek: DeepSeek V4 Pro 0813 (batch) through an OpenAI-compatible client.

from openai import OpenAI

client = OpenAI(
    base_url="https://openrouter.ai/api/v1",
    api_key="YOUR_API_KEY"
)

response = client.chat.completions.create(
    model="deepseek/deepseek-v4-pro-0813:batch",
    messages=[{"role": "user", "content": "Explain quantum physics."}]
)

print(response.choices[0].message.content)
08

Alternatives

Closest models by context window from a different provider.

09

Sources & attribution

Pricing and metadata are maintained in the ModelsAtlas catalog.

Capability bars use metadata tags — directional estimates onlyHow we source and verify data →
10

Frequently asked questions

How much does DeepSeek: DeepSeek V4 Pro 0813 (batch) cost?

$1.32 per 1M input tokens and $3.96 per 1M output tokens on the official DeepSeek API.

What is the context window of DeepSeek: DeepSeek V4 Pro 0813 (batch)?

DeepSeek: DeepSeek V4 Pro 0813 (batch) supports up to 1.0M tokens of context.

Does DeepSeek: DeepSeek V4 Pro 0813 (batch) support tool / function calling?

Yes, DeepSeek: DeepSeek V4 Pro 0813 (batch) supports tool / function calling — you can register tools and the model will emit structured tool calls.

How do I access DeepSeek: DeepSeek V4 Pro 0813 (batch)?

Use the official DeepSeek API with the model id `deepseek/deepseek-v4-pro-0813:batch`. See the Quick start section above for code examples.