Deepseek v4 Pro-0813 API Pricing Calculator & Benchmarks

DeepSeek V4 Pro 0813 is a flagship open-weight reasoning model built for advanced coding, autonomous agents, mathematics, scientific research, and complex problem-solving.

Deepseek v4 Pro-0813 is a reasoning model from DeepSeek, released 12 August 2026. It pairs a 1,048,576-token context window with up to 384,000 tokens of output, accepting text and returning text. Step-by-step reasoning is supported. It costs $1.32 per million input tokens through Perplexity.

Last updated Oct 27, 2026

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Model Details

Released
Aug 12, 2026
Context Length
1,048,576
Max Output
384,000
Modalities
Text → Text
Capabilities
Tool use Structured outputs Prompt caching Code execution Open weights

Where is Deepseek v4 Pro-0813 a perfect fit?

DeepSeek V4 Pro 0813 combines a trillion-parameter mixture-of-experts architecture, one-million-token context, flexible reasoning effort, and speculative decoding to improve agentic coding, research, and production workflows. It is a perfect fit for:
- Autonomous coding agents and complex software engineering
- Large-codebase analysis and refactoring
- Mathematical and scientific reasoning
- Multi-step research and investigation
- Long-context document analysis
- Enterprise agent workflows
- Tool-using applications and automation
- Self-hosted frontier-model deployments

Quick Model Estimate

(USD 1.3200 per 1M tokens)
(USD 3.9600 per 1M tokens)

Your Deepseek v4 Pro-0813 Cost Estimate

๐Ÿ’ฐ Total Cost

โ€”

for 1000 input + 1000 output tokens

๐Ÿ“ฅ Input (1000 ร— $1.320000) โ€”
๐Ÿ“ค Output (1000 ร— $3.960000) โ€”

Cost Breakdown

๐Ÿ“ฅ Input ๐Ÿ“ค Output

Prices are watched for changes and checked against the provider's own page.

Pricing

Provider โ†•
Modality โ†•
Service Tier โ†•
Input Price
(per 1M tokens)
โ†•
Output Price
(per 1M tokens)
โ†•
Cached Input
(per 1M tokens)
โ†•
Context Size โ†•
View
Perplexity LogoPerplexityTextStandard$1.3200$3.9600$0.04401,048,576 tokensโ†’

Benchmarks

Scores from standardized evaluations by Artificial Analysis and Design Arena. Higher is better โ€” the indices summarize overall ability, while the detailed scores break down performance on individual benchmarks.

Artificial Analysis

Higher is better ยท benchmarked by Artificial Analysis
Detailed scores
DeepSeek V4 Pro 0813 (Max)
36
Intelligence Index
Overall intelligence across reasoning, knowledge & math evals
Better than 42% of 32 models
68.8
Coding Index
Coding ability across software-engineering evals
Better than 33% of 16 models
41.3
Agentic Index
Tool use & multi-step agent task performance
Better than 33% of 13 models
Reasoning
GPQA Diamond 92.8%

Graduate-level questions in biology, chemistry & physics

Humanity's Last Exam 41%

Expert-level questions across many academic domains

CritPt 18%

Unpublished physics research reasoning problems

AA-LCR 80.3%

Long-context reasoning across large inputs

Coding
SciCode 51%

Research-level scientific coding tasks

Knowledge
GDPval 47.9%

Economically valuable, real-world knowledge work

Omniscience Accuracy 49.1%

Breadth of factual knowledge across domains

Omniscience Non-Hallucination 5.2%

How reliably the model avoids fabricated answers

Compare Deepseek v4 Pro-0813 with

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FAQs about Deepseek v4 Pro-0813

How much does Deepseek v4 Pro-0813 cost per 1M tokens?

Deepseek v4 Pro-0813 costs $1.32 per million input tokens, and $3.96 per million output tokens.

What does a typical workload cost with Deepseek v4 Pro-0813?

1,000 requests of 2,000 input and 500 output tokens each โ€” 2,000,000 input and 500,000 output tokens in total โ€” costs $4.62 with Deepseek v4 Pro-0813 at its lowest rates. Use the calculator on this page for your own volumes.

Where can I use Deepseek v4 Pro-0813?

Deepseek v4 Pro-0813 is available through Perplexity, from $1.32 per million input tokens.

What is Deepseek v4 Pro-0813's context window?

Deepseek v4 Pro-0813 has a context window of 1,048,576 tokens, and returns up to 384,000 tokens in a single response.

What input types does Deepseek v4 Pro-0813 support?

Deepseek v4 Pro-0813 accepts text input, and returns text.