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Mistral Large 3 API Pricing & Cost Calculator

Mistral Large 3 is the ideal solution for European-hosted enterprise tasks. Its competitive pricing and 90% cache discount keep high-intelligence workloads highly economical.

Mistral Large 3 is Mistral's flagship frontier model, offering strong multilingual reasoning and advanced agentic features.

By TechCompare · Updated

Input tokens
100,000
per request
Output tokens
5,000
per request
Volume
100 / monthly
Standard API

Calculator

Cost Comparison

Based on 100,000 input tokens (50% cached), 5,000 output tokens, and 100 requests.

How this is calculated

Mistral Large 3 is priced at $0.50 per million input tokens and $1.50 per million output tokens, supporting a 90% caching discount ($0.05 per million) and a 50% batch discount ($0.25 per million inputs, $0.75 per million outputs).

Verdict

Mistral Large 3 lands at $0.50/M input and $1.50/M output, with a 90% cache discount dropping input to $0.05/M and a 50% batch discount halving both rows to $0.25/M input and $0.75/M output. The pricing is well below DeepSeek or any US-frontier model on output, and the 50% batch lever is something DeepSeek doesn't offer. The real reason to pick it over cheaper alternatives is the European-residency and multilingual case: GDPR-driven workloads, EU-sovereign cloud requirements, and translation pipelines all benefit from the union-jurisdiction hosting at rates that compete with the cheapest US options.

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Frequently asked questions

Does Mistral Large 3 support prompt caching?
Yes, Mistral offers a 90% discount on cached input tokens, reducing the input price to $0.05 per million for matches.
How much does Mistral Large 3 cost per million output tokens?
Mistral Large 3 charges $1.50 per million output tokens at standard pricing. With the 50% batch discount, that drops to $0.75 per million. The 90% prompt caching discount brings cached input to $0.05 per million, making this a strong budget frontier-tier pick with European-hosted infrastructure.
Why might I pick Mistral Large 3 over GPT-5.4 or Sonnet 4.6?
Three reasons: European data residency for GDPR-sensitive workloads, cost ($1.50/M output versus Sonnet's $15/M), and multilingual performance (Mistral's tokenizer is efficient on non-English text, lowering effective cost further). Quality is competitive but not top-tier, and works best when sovereignty matters more than raw intelligence.