Mistral Small 4

Mistral Small 4 is a powerful hybrid model capable of acting as both a general instruction model and a reasoning model. It unifies the capabilities of three different model families—**Instruct**, **Reasoning** (previously called Magistral), and **Devstral**—into a single, unified model.

Context
262K
Max output
Unknown
Input
$0.15
Output
$0.60
DECISION SUMMARY

Recommended use cases

Strengths in this dataset

  • 262,144-token context window
  • text, image input
  • 15 supported API parameters listed

Limits and caveats

  • Provider behavior and pricing can change; verify the linked sources before production use.
CAPABILITIES

Capability

Model-native facts

Model
Reasoning
Supported
Open weights
Unknown

Provider endpoint facts

Provider endpoint
Tool calling
Supported
Structured output
Supported
Streaming
Unknown
Prompt cache
Supported
Batch
Unknown
Fine-tuning
Unknown
PROVIDER PRICING

Mistral Small 4 Provider pricing

Provider endpoint: mistralai/mistral-small-2603

Input
$0.15
per 1M tokens
Output
$0.60
per 1M tokens
Cached input
$0.015
per 1M tokens
Image output
Unknown
per 1M tokens
SOURCE RECORDS

Sources and verification

Hugging Face model card

Fields: tags, gated, license, summary, languages

OpenRouter Models API

Fields: identity, description, modalities, context window, maximum output, pricing, supported parameters

MODEL FAQ

Frequently asked questions

Answers are generated from the same sourced model and provider facts shown above.

Mistral Small 4 is a powerful hybrid model capable of acting as both a general instruction model and a reasoning model. It unifies the capabilities of three different model families—**Instruct**, **Reasoning** (previously called Magistral), and **Devstral**—into a single, unified model.

Model specifications and prices may vary by provider and change over time. AIToolly displays sources and verification dates so users can confirm critical details before production use.