Gemini 2.5 Flash vs Mistral OCR 4
Pricing, benchmarks, and use case comparison
Quick take
- •Gemini 2.5 Flash is meaningfully stronger at coding (75 vs 5 on our capability index).
- •Mistral OCR 4 is meaningfully stronger at multimodal (90 vs 80).
- •Gemini 2.5 Flash is 100% cheaper on input tokens, which compounds fast on high-volume or agentic workloads.
Specs comparison
| Gemini 2.5 Flash | Mistral OCR 4 | |
|---|---|---|
| Provider | Google DeepMind | Mistral AI |
| Type | Closed source | Closed source |
| Context window | ✓1,048,576 tokens (1M) input; up to 65,535 output | Not announced |
| Input / 1M tokens | ✓$0.30 | 4000 |
| Output / 1M tokens | $2.50 | 4000 |
| Release date | 2025-06 | 2026-06 |
Benchmarks
| Benchmark | Gemini 2.5 Flash | Mistral OCR 4 |
|---|---|---|
| Context window | 1M tokens | - |
| Input price | $0.30/1M | - |
| 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 Gemini 2.5 Flash if...
- →High-volume, latency-sensitive production workloads
- →Chatbots, extraction, classification, and summarization at scale
- →You need decent reasoning but must control costs
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)