Long Context Window
Supports up to 128,000 tokens in a single context, enabling processing of long documents or extended multi-turn conversations without truncation.
Mistral
Mistral Small 24.02
Mistral Small 24.02 is a text generation model developed by Mistral, designed to run on a single node while supporting a 128,000-token context window. It covers dozens of natural languages including French, German, Spanish, Italian, Portuguese, Arabic, Hindi, Russian, Chinese, Japanese, and Korean, as well as over 80 coding languages such as Python, Java, C, C++, JavaScript, and Bash. The model has 123 billion parameters, which enables high-throughput inference without requiring multi-node infrastructure. This model is well-suited for long-context applications where fitting large documents or extended conversations into a single prompt is necessary. Its broad language coverage makes it applicable to multilingual workflows, while its coding language support makes it useful for code generation and analysis tasks. The single-node inference design is a practical consideration for teams managing deployment costs and infrastructure complexity.
Unknown
128,000 context
16,000 tokens output
Long Context Window
Multilingual Text Generation
Code Generation
Single-Node Inference
Instruction Following
Model Overview
High-signal model metadata in a structured two-column overview table.
Provider
The entity that provides this model.
Mistral
Input Context Window
The number of tokens supported by the input context window.
128,000
tokens
Maximum Output Tokens
The number of tokens that can be generated by the model in a single request.
16,000 tokens
tokens
Open Source
Whether the model's code is available for public use.
No
Release Date
When the model was first released.
Unknown
Knowledge Cut-off Date
When the model's knowledge was last updated.
Unknown
API Providers
The providers that offer this model. This is not an exhaustive list.
Mistral API
Modalities
Types of data this model can process.
Text
Code
What is Mistral Small 24.02
A fuller summary of positioning, capabilities, and source-specific details for Mistral Small 24.02.
Mistral Small 24.02 is a text generation model developed by Mistral, designed to run on a single node while supporting a 128,000-token context window. It covers dozens of natural languages including French, German, Spanish, Italian, Portuguese, Arabic, Hindi, Russian, Chinese, Japanese, and Korean, as well as over 80 coding languages such as Python, Java, C, C++, JavaScript, and Bash. The model has 123 billion parameters, which enables high-throughput inference without requiring multi-node infrastructure.
This model is well-suited for long-context applications where fitting large documents or extended conversations into a single prompt is necessary. Its broad language coverage makes it applicable to multilingual workflows, while its coding language support makes it useful for code generation and analysis tasks. The single-node inference design is a practical consideration for teams managing deployment costs and infrastructure complexity.
Capabilities
What Mistral Small 24.02 supports
Multilingual Text Generation
Generates and understands text in dozens of natural languages including French, German, Spanish, Arabic, Hindi, Chinese, Japanese, and Korean.
Code Generation
Supports over 80 coding languages including Python, Java, C, C++, JavaScript, and Bash for code writing and analysis tasks.
Single-Node Inference
Runs at large throughput on a single node due to its 123 billion parameter architecture, reducing multi-node infrastructure requirements.
Instruction Following
Responds to structured prompts and instructions, making it applicable for task-oriented workflows such as summarization, translation, and Q&A.
Pricing for Mistral Small 24.02
Primary API pricing shown in the same “quick compare” spirit as the reference page.
Input tokens
$1.00
Per million tokens
Output tokens
N/A
Per million tokens
Price Comparison
Additional usage-cost dimensions synced into the project for this model.
maxTemperature
1
maxResponseSize
16,000 tokens
API Access & Providers
Places where this model is available, based on the synced detail-page metadata.
Mistral API
Model Performance
Benchmark scores synced from the current model source and normalized into the local catalog.
| Benchmark | Score |
|---|---|
|
AIME 2024
American math olympiad problems
|
|
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GPQA Diamond
PhD-level science questions (biology, physics, chemistry)
|
|
|
HLE
Questions that challenge frontier models across many domains
|
|
|
LiveCodeBench
Real-world coding tasks from recent competitions
|
|
|
MATH-500
Undergraduate and competition-level math problems
|
|
|
MMLU-Pro
Expert knowledge across 14 academic disciplines
|
|
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SciCode
Scientific research coding and numerical methods
|
Resources & Documentation
Official model cards, release notes, docs, and other references synced from the source page.
Related Daily Briefs
Recent daily stories tied to Mistral Small 24.02 through direct model mentions or provider-level coverage.
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FAQ
Common questions about Mistral Small 24.02
What is the context window size for Mistral Small 24.02?
Mistral Small 24.02 supports a context window of 128,000 tokens, allowing large documents or long conversations to be processed in a single prompt.
Which natural languages does this model support?
The model supports dozens of languages including French, German, Spanish, Italian, Portuguese, Arabic, Hindi, Russian, Chinese, Japanese, and Korean, among others.
How many coding languages does Mistral Small 24.02 support?
The model supports over 80 coding languages, including Python, Java, C, C++, JavaScript, and Bash.
What infrastructure is required to run this model?
Mistral Small 24.02 is designed for single-node inference. Its 123 billion parameters allow it to run at large throughput on a single node without requiring multi-node setups.
Is a training data cutoff date available for this model?
The training date is listed as not available in the current metadata. For the most accurate information, refer to Mistral's official documentation.
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