Mistral Small 4

Mistral chatreasoningtool_usevision Long

API ID: mistralai/mistral-small-2603

Input Price
$0.15
/1M tokens
Output Price
$0.60
/1M tokens
Cached Input
$0.01
Save 90%

About Mistral Small 4

Mistral Small 4 is the next major release in the Mistral Small family, unifying the capabilities of several flagship Mistral models into a single system. It combines strong reasoning from...

๐Ÿ’ฐ
Price Ranking
#780 lowest price among 1240 Chat models

Model Specifications

Context Length
262k
Max Output
โ€”
Release Date
2026-03-16
Capabilities
chat reasoning tool_use vision
Input Modalities
textimage
Output Modalities
text

Best For

  • Complex reasoning, math problems, multi-step logic
  • Image analysis, document understanding, visual Q&A
  • Conversations, content writing, general assistance

Consider Alternatives For

  • Simple Q&A (cheaper models available)

๐Ÿ’ฐ Real-World Cost Examples

Estimated monthly costs for common use cases

Personal AI Assistant
$0.25
/month
50 conversations/day, ~500 tokens each
Customer Service Bot
$7.65
/month
1000 tickets/day, ~800 tokens each
Data Analysis Pipeline
$10.57
/month
500 analyses/day, ~2k tokens each

Mistral Model Lineup

Compare all models from Mistral to find the best fit

Model Input Output Context Capabilities
Mistral Small 4 Current Free Free 262k chat reasoning tool_use vision
Pixtral 12B Free Free 4k chat vision
Mistral 7B Instruct v0.3 Free Free 33k chat
Mistral 7B Instruct Free Free 33k chat
Mixtral 8x22B (base) Free Free 66k chat
Mixtral 8x22B (base) Free Free 66k chat

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Output: $0.50
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Input: $0.15
Output: $0.60
Context: 262k
Meta Llama 4 Maverick
Input: $0.15
Output: $0.60
Context: 1.0M
OpenAI GPT-4o-mini Search Preview
Input: $0.15
Output: $0.60
Context: 128k

๐Ÿš€ Quick Start

Get started with Mistral Small 4 API

OpenAI-compatible SDK
from openai import OpenAI

client = OpenAI(
    base_url="https://api.provider.com/v1",
    api_key="YOUR_API_KEY"
)

response = client.chat.completions.create(
    model="mistralai/mistral-small-2603",
    messages=[
        {"role": "user", "content": "Hello!"}
    ]
)
print(response.choices[0].message.content)