GPT 5.4 vs Mistral Large 2
Direct comparison between openai and mistral for chat models. Specs, prices, strengths, weaknesses — decide on facts.
At a glance
- · Cheaper: Mistral Large 2
- · Longer context window: GPT 5.4 at 400,000 tokens
- · GPT 5.4: Better tool-use accuracy than GPT-5.3 with shorter outputs
- · Mistral Large 2: EU-hosted — GDPR-friendly without US data export
Spec comparison
| Spec | GPT 5.4 | Mistral Large 2 |
|---|---|---|
| Provider | openai | mistral |
| Input per 1M tokens | $2.50 / 1M | $2.00 / 1M |
| Output per 1M tokens | $15.00 / 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 | ||
| Reasoning |
GPT 5.4 — strengths
- +Better tool-use accuracy than GPT-5.3 with shorter outputs
- +Native vision for screenshots, charts, and documents
- +400k context — fits code repos and long conversations
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 — weaknesses
- −Pricier per token than Sonnet 4.6 at comparable coding quality
- −Reasoning mode noticeably increases latency over standard calls
Mistral Large 2 — weaknesses
- −Code quality behind Sonnet 4.6 and GPT-5.4
- −No native vision