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Mistral Small 3.1

Mistral

Mistral Small 3.1 by Mistral costs $0.2/M input, $0.6/M output with 128K context window. Updated February 2026. Compare with GPT-5, Claude, Gemini & 40+ models.

Input Price

$0.20

per 1M tokens

Output Price

$0.60

per 1M tokens

Context Window

128K

tokens

Specifications

ProviderMistral
Model IDmistral-small-3-1
Input Price$0.2 / 1M tokens
Output Price$0.6 / 1M tokens
Context Window128K tokens
Max Output4K tokens
Capabilities
textfunction_calling
Release Date2025-03

Monthly Cost Estimates

Estimated monthly costs based on different daily usage levels (assuming 50% input / 50% output split).

Daily TokensMonthly CostAnnual Cost
10K $0.12 $1.44
50K $0.60 $7.20
100K $1.20 $14.40
500K $6.00 $72.00
1.0M $12.00 $144.00

About Mistral Small 3.1

Mistral Small 3.1 is a large language model by Mistral. It features a 128K token context window with up to 4K tokens of output per request. The model supports 2 capabilities: text, function_calling.

At $0.2 per million input tokens and $0.6 per million output tokens, Mistral Small 3.1 is positioned as a cost-effective option in the Mistral lineup. Use our Token Counter to estimate how many tokens your prompts use, and our Pricing Calculator to compare costs across all models.

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FAQ

How much does Mistral Small 3.1 cost?

Mistral Small 3.1 costs $0.2 per million input tokens and $0.6 per million output tokens. For a typical workload of 100K tokens/day, expect approximately $1.50/month.

What is Mistral Small 3.1's context window?

Mistral Small 3.1 supports a context window of 128K tokens. This means your combined input prompt and output response can be up to 128K tokens. The maximum output per response is 4K tokens.

Is Mistral Small 3.1 good for my use case?

Mistral Small 3.1 supports text, function_calling. As a budget-friendly model, it works well for high-volume tasks like classification, summarization, and simple generation. Use our Pricing Calculator to compare with alternatives.