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Mistral Small 3.1
Mistral
Efficient small model for simple, high-volume tasks
Input price$0.10 / 1M tokens
Output price$0.30 / 1M tokens
Context window128k tokens
Last updated2026-04-20
Quick calculator
Per request
$0.000250
Daily
$2.50
Monthly
$75.00
per month · 30-day estimate
Yearly
$912.50
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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About Mistral Small 3.1
Mistral Small 3.1 is a budget large language model from mistral, priced at $0.1/1M input tokens and $0.3/1M output tokens. It is 96% cheaper than the market average and best suited for simple high-volume tasks. The 128k 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 Small 3.1 is one of the most cost-effective options for high-volume tasks.
Frequently Asked Questions
How much does Mistral Small 3.1 cost per 1,000 tokens?
Mistral Small 3.1 costs $0.0001 per 1,000 input tokens and $0.0003 per 1,000 output tokens.
What is Mistral Small 3.1's context window?
Mistral Small 3.1 supports a context window of 128k tokens, which is suitable for long documents and multi-turn conversations.
How does Mistral Small 3.1 compare to GPT-4o on price?
Mistral Small 3.1 is 96% cheaper than the market average on input tokens. At $0.1/1M 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 $30/month with Mistral Small 3.1 vs $750/month with GPT-4o.