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Mistral Small 3.1

Mistral

Updated May 2026. Mistral Small 3.1 by Mistral: $0.2/M cache-miss input, $0.6/M output tokens. 128K context, 4K max output. Function Calling. Free calculator + compare 40+ models.

Input Price

$0.2

cache miss / 1M tokens

Output Price

$0.6

per 1M tokens

Context Window

128K

tokens

Specifications

ProviderMistral
Model IDmistral-small-3-1
Input Price$0.2 / 1M cache-miss tokens
Output Price$0.6 / 1M tokens
Context Window128K tokens
Max Output4K tokens
Capabilities
textfunction_calling
Release Date2025-03
Pricing SourceOfficial Mistral pricing
Price Verified2026-03-04 · Provider pricing guide is due for a refresh.

Monthly Cost Estimates

Estimated monthly costs based on different daily usage levels (assuming 50% input / 50% output split). Input estimates use cache-miss pricing, so cache-heavy workloads can be lower.

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 cache-miss 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.

Mistral Small 3.1 Key Details

  • Pricing: $0.2/M cache-miss input tokens, $0.6/M output tokens
  • Context window: 128K tokens — good for standard conversations and tasks
  • Max output: 4K tokens per response
  • Capabilities: text, function_calling
  • Released: 2025-03

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FAQ

How much does Mistral Small 3.1 cost?

Mistral Small 3.1 costs $0.2 per million cache-miss input tokens and $0.6 per million output tokens. For a typical workload of 100K input tokens/day and 50K output tokens/day, expect approximately $1.50/month before cache-hit savings.

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.