DeepSeek V4 Pro

DeepSeek - deepseek-v4-pro

8.4/10

Provisional 0 practitioner reviews Source verified

Data source: This model page uses public provider documentation, pricing/context data, benchmark signals where available, and manual curation. Practitioner reviews are listed separately below and do not change the score until approved.

Context window

1,000,000 tokens

Input price

$0.435/1M

Output price

$0.87/1M

Checked

May 16, 2026

Pricing caveat: Uses DeepSeek V4 Pro promotional pricing available through 2026-05-31; list price is higher.

Decision Notes

Best for

  • - Cost-sensitive coding and RAG agents that still need long context
  • - Teams willing to test open-weight models behind OpenAI-compatible APIs
  • - Workloads where the current promotional pricing materially changes unit economics

Avoid when

  • - Production systems that cannot tolerate pricing changes after the promotional period
  • - Teams requiring the same provider reliability profile as the largest US frontier APIs

Cost example

At current promotional pricing, 1M input tokens plus 200K output tokens costs about $0.61; list pricing would be about $2.44.

Dimension Breakdown

Tool Calling 9/10

Reliability of function/tool calling — correct schema adherence and parameter extraction

Cost Efficiency 9/10

Price per token relative to output quality for agent tasks

Latency 7/10

Response time — time to first token and total generation time under load

API Reliability 7/10

Uptime, rate limit headroom, and error rates in production

Context Quality 10/10

Long-context coherence and instruction following over turns

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Top Use Cases

Coding RAG General

Summary

A high-value long-context model for agent builders, especially while promotional pricing is active. Verify reliability and post-discount economics before standardizing.

Sources

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Last updated: May 16, 2026