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deepseek-v4-pro
Model:
DeepSeek V4 Pro is a stronger reasoning, coding, and agent workflow model with 1M-context chat, 1.6T total parameters, and 49B active parameters.
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Configuration
1.0
1.0
Pricing details

Transparent pricing with no hidden fees. Pay as you go.

DeepSeekdeepseek-v4-pro
Input tokens
PoYo price
$0.348/1M tokens
68.4 credits
Official price
$0.435/1M tokens
Official
You save
20%
DeepSeekdeepseek-v4-pro
Output tokens
PoYo price
$0.696/1M tokens
136.8 credits
Official price
$0.870/1M tokens
Official
You save
20%

* Actual fees are based on the final output.

Introduction

Complete guide to using DeepSeek V4 Pro API

DeepSeek V4 Pro API

DeepSeek V4 Pro is a stronger reasoning, coding, and agent workflow model with 1M-context chat, 1.6T total parameters, and 49B active parameters.

DeepSeek V4 model access

01

DeepSeek V4 Pro

Use model ID deepseek-v4-pro. DeepSeek documents it as a stronger reasoning, coding, and agent workflow model with 1.6T total parameters and 49B active parameters.
View Documentation

DeepSeek V4 API highlights

DeepSeek V4 Preview is officially available with 1M context and separate Flash and Pro profiles.

01

1.6T total / 49B active MoE profile

DeepSeek V4 uses a mixture-of-experts profile. Official docs list DeepSeek V4 Pro at 1.6T total / 49B active, giving teams a clear separation between the efficient Flash route and the stronger Pro route.

  • 1.6T total / 49B active
  • Optimized for reasoning, coding, STEM, and knowledge-heavy work
  • Model ID: deepseek-v4-pro
DeepSeek V4 Pro official specification

02

Pro benchmark profile for stronger reasoning and coding

DeepSeek positions V4 Pro as open-source SOTA for agentic coding benchmarks, strong in Math/STEM/Coding, and competitive with top closed-source models for reasoning-heavy work.

  • Use for hard coding and reasoning paths
  • Better fit for complex multi-step agents
  • Designed for higher-value knowledge tasks
DeepSeek V4 Pro benchmark chart

03

1M context for long conversations and documents

The official DeepSeek release notes state that 1M context is the default across official DeepSeek services. This is useful for long chats, repository-scale coding context, large documents, and multi-step agent memory.

  • 1M context stated in official release notes
  • Long document and repository context
  • Reduced chunking for agent workflows
DeepSeek V4 context efficiency

04

Thinking and non-thinking modes

DeepSeek documents dual modes for the V4 API family. Use non-thinking for faster direct answers and thinking mode for tasks where explicit reasoning effort improves quality.

  • Thinking mode for harder reasoning
  • Non-thinking mode for lower latency
  • Fits chat, coding, and agent routing
DeepSeek V4 agent example

Best use cases

01

Agentic coding

Use Pro for repository-scale reasoning, code review, migrations, and complex debugging.

02

Math, STEM, and reasoning

Run harder reasoning prompts where the stronger Pro profile is worth the extra credits.

03

Enterprise knowledge work

Analyze policies, technical specs, and research packs with longer context and stronger synthesis.

04

Escalation model

Pair Flash and Pro so routine traffic stays cheap while difficult requests move to Pro.

DeepSeek V4 Flash vs DeepSeek V4 Pro

Both Model IDs come from the same DeepSeek V4 Preview API family. Choose Flash for efficient traffic and Pro for harder reasoning, coding, and agent work.

FeatureDeepSeek V4 FlashDeepSeek V4 Pro
Model IDdeepseek-v4-flashdeepseek-v4-pro
Total / active parameters284B / 13B1.6T / 49B
PositioningFast, efficient, economicalStronger reasoning, coding, agents
Context window1M context1M context
ModesThinking / Non-ThinkingThinking / Non-Thinking
Pricing22.8 input / 45.6 output credits per 1M tokens68.4 input / 136.8 output credits per 1M tokens

Sources: DeepSeek official V4 Preview release. Official source: https://api-docs.deepseek.com/news/news260424

How to use the API

Create a PoYo API key
Get API Key

Set the model ID
Use deepseek-v4-pro as the model ID in your request.

Open API docs
View API docs

API pricing

ModelInputOutput
DeepSeek V4 Pro$0.348 / 1M tokens
68.4 credits
$0.696 / 1M tokens
136.8 credits

FAQ

What model ID should I use?

Use deepseek-v4-pro.

Does it support 1M context?

Yes. DeepSeek official release notes state that both V4 Flash and V4 Pro support 1M context.