Mistral Large vs Mistral OCR 4
Pricing, benchmarks, and use case comparison
Quick take
- •Mistral Large is meaningfully stronger at coding (82 vs 5 on our capability index).
- •Mistral OCR 4 is meaningfully stronger at cost efficiency (96 vs 66).
- •Mistral Large is 100% cheaper on input tokens, which compounds fast on high-volume or agentic workloads.
Specs comparison
| Mistral Large | Mistral OCR 4 | |
|---|---|---|
| Provider | Mistral AI | Mistral AI |
| Type | Closed source | Closed source |
| Context window | ✓128000 | Not announced |
| Input / 1M tokens | ✓2.00 | 4000 |
| Output / 1M tokens | 6.00 | 4000 |
| Release date | 2024-02 | 2026-06 |
Benchmarks
| Benchmark | Mistral Large | Mistral OCR 4 |
|---|---|---|
| MMLU | 84.0% | - |
| HumanEval | 92.0% | - |
| 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 Mistral Large if...
- →You need a strong European-built flagship with open weights
- →Your work is multilingual or requires nuanced reasoning
- →You want structured/JSON output and solid coding ability
- →You need the option to self-host for data sovereignty
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)