Claude Haiku 4.5 vs Mistral Large 2
Direct comparison between anthropic and mistral for chat models. Specs, prices, strengths, weaknesses — decide on facts.
At a glance
- · Cheaper: Claude Haiku 4.5
- · Longer context window: Claude Haiku 4.5 at 200,000 tokens
- · Claude Haiku 4.5: Very cheap per million tokens — good for bulk workloads
- · Mistral Large 2: EU-hosted — GDPR-friendly without US data export
Spec comparison
| Spec | Claude Haiku 4.5 | Mistral Large 2 |
|---|---|---|
| Provider | anthropic | mistral |
| Input per 1M tokens | $1.00 / 1M | $2.00 / 1M |
| Output per 1M tokens | $5.00 / 1M | $6.00 / 1M |
| Context window | 200,000 tok | 128,000 tok |
| Max output | 8,192 tok | 8,192 tok |
| Knowledge cutoff | 2025-07 | — |
| Vision | ||
| Tool calling | ||
| JSON mode | ||
| Structured output |
Claude Haiku 4.5 — strengths
- +Very cheap per million tokens — good for bulk workloads
- +Low latency, comparable to Gemini 3 Flash
- +Vision-capable — rare in this price tier
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
Claude Haiku 4.5 — weaknesses
- −Weaker on multi-step reasoning than Sonnet
- −Only 8k output tokens — no full files in one response
Mistral Large 2 — weaknesses
- −Code quality behind Sonnet 4.6 and GPT-5.4
- −No native vision