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[ MODEL COMPARISON ]

Compare deepseek-v4-pro with other models

Select another model to compare pricing, limits, and capabilities with deepseek-v4-pro.

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Models
Tencent logodeepseek-v4-pro
tencent
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Context Length
1000K
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Max Output
384K
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Input Cost
$0.43/M
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Output Cost
$0.87/M
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Mode
Chat
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Max Input Tokens
1000K
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Max Tokens
384K
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Supported Endpoints
/v1/chat/completions
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Provider
Tencent
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Tool Choice
Yes
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Response Schema
Yes
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Parallel Function Calling
Yes
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Prompt Caching
Yes
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System Messages
Yes
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Comparison Insights

Comprehensive analysis based on the latest model metadata from the comparison table above.

What should I know about deepseek-v4-pro?

Overview

  • deepseek-v4-pro is a chat model provided by Tencent.
  • This model offers an exceptional context window of 1000K tokens, making it ideal for processing extensive documents, long conversations, or large codebases.

Pricing

  • Input processing costs $0.43 per million tokens.
  • Output generation costs $0.87 per million tokens.

Output Capabilities

  • The model can generate up to 384K tokens in a single response.

Availability

  • Available through the following endpoints: /v1/chat/completions.
What capabilities does deepseek-v4-pro support?
  • Supports function calling, enabling integration with external tools and APIs for extended functionality.
  • Features advanced reasoning capabilities for complex problem-solving and multi-step logical tasks.
  • Allows explicit tool selection, giving developers fine-grained control over function execution.
  • Supports structured response schemas for consistent, predictable output formatting.
  • Enables parallel function calling to execute multiple operations simultaneously for improved efficiency.
  • Implements prompt caching to reduce costs and latency for repeated or similar queries.
  • Supports system messages for customizing model behavior and setting operational parameters.

deepseek-v4-pro Pricing Overview

At $0.43 per 1M input tokens and $0.87 per 1M output tokens, deepseek-v4-pro ranks 1240 out of 2637 chat models by input cost. It is more affordable compared to the median of $0.50 for chat models, and is cheaper than 53% of models in this category.