LLM Reference

Mistral Small

Released
2024-02-26
Last refreshed
2026-06-15
Status
Researched 112d ago
Open sourceCommercial use: permittedClassificationJSON / Tool use

Mistral Small is worth evaluating for classification and json / tool use when its provider route and context window match the workload.

Use it for

  • Teams evaluating classification and json / tool use
  • Workloads that can use a 32k context window
  • Buyers comparing 4 tracked provider routes

Do not use it for

  • Vision or document-understanding workloads
Specifications
Released
2024-02-26
Context
32k
Parameters
22B
Architecture
Decoder Only
Specialization
general
Openness
Open source
License
Apache 2.0OSI-approvedCommercial use: permitted
Weights
Unknown
Code
Unknown
Training
Fine-tuned
Created by

Enterprise AI solutions for trust and transparency.

Paris, France
Founded 2023
Website
Pricing
Output / 1M
$0.300
Input / 1M
$0.100

Cheapest of 5 routes · Mistral AI Studio

About

Mistral Small is a language model from MistralAI. It offers a 32K-token context window.

Top use-case fit

Classification

Included by capability and metadata signals in the decision map.

JSON / Tool use

Included by capability and metadata signals in the decision map.

Provider price ladder

Compare all 5

Compare API pricing across 4 providers for input and output tokens, batch, and cached reads when available.

ProviderInput / 1MOutput / 1MRoute
Mistral AI Studio$0.100$0.300
Serverless
AWS Bedrock$1.00$3.00
Serverless
Microsoft Foundry$1.00$3.00
Provisioned
DeepInfra--
ServerlessPartial

Available via routers & gateways(14)

Capabilities

Structured Outputs

Benchmark peer barsfor Classification

No task-mapped benchmark peers are available for this model yet.

Migration checks

No linked migration route is available for this model yet.

Compare Mistral Small with other models