For Developers/Models/Compare/DeepSeek V4 vs Mistral OCR 4

DeepSeek V4 vs Mistral OCR 4

Pricing, benchmarks, and use case comparison

Quick take

  • DeepSeek V4 is meaningfully stronger at coding (93 vs 5 on our capability index).
  • Mistral OCR 4 is meaningfully stronger at multimodal (90 vs 10).
  • DeepSeek V4 is open-weights (free to self-host); Mistral OCR 4 is paid API only.

Specs comparison

DeepSeek V4Mistral OCR 4
ProviderDeepSeekMistral AI
TypeOpen sourceClosed source
Context window1M tokensNot announced
Input / 1M tokensFree (self-host)4000
Output / 1M tokensFree (self-host)4000
Release date2026-042026-06

Benchmarks

BenchmarkDeepSeek V4Mistral OCR 4
SWE-bench Verified80.6%-
Math / STEM / Coding (open-model comparison)Best among open models (per DeepSeek)-
OlmOCRBench-85.20
OmniDocBench-93.07
Human preference (head-to-head)-72% win rate
Human evaluation (blind)-72%
Human Evaluation (Blind Test)-72% win rate

Scores sourced from official provider release posts and independent benchmark aggregators.

Which should you choose?

Choose DeepSeek V4 if...

  • You need a frontier-class open model you can self-host for data control
  • Your workload involves very long documents, codebases, or agent trajectories (up to 1M tokens)
  • You want top-tier agentic coding at a fraction of closed-model cost
  • You need to fine-tune or customize a strong base model
Full DeepSeek V4 details →

Choose Mistral OCR 4 if...

  • You need to convert PDFs, scans, or office docs into structured text/Markdown
  • You require high-accuracy multilingual document parsing at low cost
  • You need tables, equations, and layout preserved with confidence scores
  • You must keep documents in-house (self-hosted deployment)
Full Mistral OCR 4 details →

Compare DeepSeek V4 with others