For Developers/Models/Compare/Mistral OCR 4 vs Qwen 3

Mistral OCR 4 vs Qwen 3

Pricing, benchmarks, and use case comparison

Quick take

  • Mistral OCR 4 is meaningfully stronger at multimodal (90 vs 30 on our capability index).
  • Qwen 3 is meaningfully stronger at coding (78 vs 5).
  • Qwen 3 is open-weights (free to self-host); Mistral OCR 4 is paid API only.

Specs comparison

Mistral OCR 4Qwen 3
ProviderMistral AIAlibaba (Qwen Team)
TypeClosed sourceOpen source
Context windowNot announced128K tokens (32K for 0.6B/1.7B/4B dense variants)
Input / 1M tokens4000Free (self-host)
Output / 1M tokens4000Free (self-host)
Release date2026-062025-04

Benchmarks

BenchmarkMistral OCR 4Qwen 3
OlmOCRBench85.20-
OmniDocBench93.07-
Human preference (head-to-head)72% win rate-
Human evaluation (blind)72%-
Human Evaluation (Blind Test)72% win rate-
Qwen3-235B-A22B-235B total / 22B active
Qwen3-30B-A3B-30B total / 3B active

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

Which should you choose?

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 →

Choose Qwen 3 if...

  • You need an open, self-hostable model with a permissive license
  • You want to toggle deep reasoning on or off per request
  • Multilingual applications
  • Efficient inference via MoE with few active parameters
Full Qwen 3 details →

Compare Mistral OCR 4 with others