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Mistral Large 3
Mistral
Frontier-level MoE model (675B total / 41B active params) at competitive price
Input price$0.50 / 1M tokens
Output price$1.50 / 1M tokens
Context window256k tokens
Last updated2026-04-20
Quick calculator
Per request
$0.001250
Daily
$12.50
Monthly
$375.00
per month · 30-day estimate
Yearly
$4,562.50
Tips to reduce cost
- →Use prompt caching to reuse repeated system prompts
- →Trim whitespace and reduce verbose instructions
- →Use a smaller model for classification or routing tasks
- →Batch async requests to get 50% discount (OpenAI/Anthropic)
- →Cache identical requests at the application layer
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Compared at your current token settings
About Mistral Large 3
Mistral Large 3 is a mid-range large language model from mistral, priced at $0.5/1M input tokens and $1.5/1M output tokens. It is 79% cheaper than the market average and best suited for european data compliance. The 256k context window handles long documents, extended conversations, and large code files comfortably.
For most production workloads, the cost breakdown is dominated by input tokens (system prompts, context, retrieved documents) rather than output. At this price point, Mistral Large 3 is a solid choice when balancing quality and cost at scale.
Frequently Asked Questions
How much does Mistral Large 3 cost per 1,000 tokens?
Mistral Large 3 costs $0.0005 per 1,000 input tokens and $0.0015 per 1,000 output tokens.
What is Mistral Large 3's context window?
Mistral Large 3 supports a context window of 256k tokens, which is suitable for long documents and multi-turn conversations.
How does Mistral Large 3 compare to GPT-4o on price?
Mistral Large 3 is 79% cheaper than the market average on input tokens. At $0.5/1M input vs $2.50/1M for GPT-4o, the cost difference becomes significant at scale — 10,000 requests/day with 1,000 input tokens each costs $150/month with Mistral Large 3 vs $750/month with GPT-4o.