GPT 5.4 Mini vs Mistral Large 2
Direct comparison between openai and mistral for chat models. Specs, prices, strengths, weaknesses — decide on facts.
At a glance
- · Cheaper: GPT 5.4 Mini
- · Longer context window: GPT 5.4 Mini at 400,000 tokens
- · GPT 5.4 Mini: Fraction of GPT-5.4 cost with very similar tool-use quality
- · Mistral Large 2: EU-hosted — GDPR-friendly without US data export
Spec comparison
| Spec | GPT 5.4 Mini | Mistral Large 2 |
|---|---|---|
| Provider | openai | mistral |
| Input per 1M tokens | $0.75 / 1M | $2.00 / 1M |
| Output per 1M tokens | $4.50 / 1M | $6.00 / 1M |
| Context window | 400,000 tok | 128,000 tok |
| Max output | 16,384 tok | 8,192 tok |
| Knowledge cutoff | 2026-01 | — |
| Vision | ||
| Tool calling | ||
| JSON mode | ||
| Structured output |
GPT 5.4 Mini — strengths
- +Fraction of GPT-5.4 cost with very similar tool-use quality
- +Low latency — good for realtime chat and inline completion
- +Same 400k context window as the full-size model
Mistral Large 2 — strengths
- +EU-hosted — GDPR-friendly without US data export
- +Strong on European languages (DE, FR, IT, ES)
- +Solid tool calling and JSON mode
GPT 5.4 Mini — weaknesses
- −No dedicated reasoning mode — complex math degrades
- −On very long tool-call chains, drift detection is weaker
Mistral Large 2 — weaknesses
- −Code quality behind Sonnet 4.6 and GPT-5.4
- −No native vision