Long Context Window
Processes up to 128,000 tokens in a single request, enabling analysis of long documents, codebases, or extended conversations without truncation.
Mistral
Mistral Large 24.07
Mistral Large 24.07 is a text generation model developed by Mistral, released in July 2024 as the second iteration of their Large series. It features 123 billion parameters and a 128,000-token context window, making it suitable for long-document processing and extended conversational tasks within a single inference node. The model supports dozens of natural languages, including French, German, Spanish, Italian, Portuguese, Arabic, Hindi, Russian, Chinese, Japanese, and Korean. One of the model's defining characteristics is its design for single-node inference, meaning the full 123B parameter model can run at high throughput without requiring multi-node infrastructure. It also supports over 80 coding languages, including Python, Java, C, C++, JavaScript, and Bash, making it applicable to software development workflows. On MindStudio, it is available through Amazon Bedrock under the identifier mistral-large-24.07-bedrock.
Unknown
128,000 context
16,000 tokens output
Long Context Window
Multilingual Text Generation
Code Generation
Single-Node Inference
Function Calling
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.
Amazon Bedrock, Mistral API
Modalities
Types of data this model can process.
Text
What is Mistral Large 24.07
A fuller summary of positioning, capabilities, and source-specific details for Mistral Large 24.07.
Mistral Large 24.07 is a text generation model developed by Mistral, released in July 2024 as the second iteration of their Large series. It features 123 billion parameters and a 128,000-token context window, making it suitable for long-document processing and extended conversational tasks within a single inference node. The model supports dozens of natural languages, including French, German, Spanish, Italian, Portuguese, Arabic, Hindi, Russian, Chinese, Japanese, and Korean.
One of the model's defining characteristics is its design for single-node inference, meaning the full 123B parameter model can run at high throughput without requiring multi-node infrastructure. It also supports over 80 coding languages, including Python, Java, C, C++, JavaScript, and Bash, making it applicable to software development workflows. On MindStudio, it is available through Amazon Bedrock under the identifier mistral-large-24.07-bedrock.
Capabilities
What Mistral Large 24.07 supports
Multilingual Text Generation
Generates and understands text in dozens of languages, including Arabic, Hindi, Chinese, Japanese, Korean, and major European languages.
Code Generation
Supports code generation and comprehension across 80+ programming languages, including Python, Java, C, C++, JavaScript, and Bash.
Single-Node Inference
Designed to run the full 123B parameter model on a single node, enabling large-throughput deployments without distributed infrastructure.
Function Calling
Supports native function calling, allowing the model to invoke external tools and APIs in structured workflows.
Instruction Following
Trained to follow detailed system and user instructions, supporting structured task completion and role-based prompting.
Pricing for Mistral Large 24.07
Primary API pricing shown in the same “quick compare” spirit as the reference page.
Input tokens
$2.00
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.
Amazon Bedrock
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)
|
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HLE
Questions that challenge frontier models across many domains
|
|
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LiveCodeBench
Real-world coding tasks from recent competitions
|
|
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MATH-500
Undergraduate and competition-level math problems
|
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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.
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FAQ
Common questions about Mistral Large 24.07
What is the context window size for Mistral Large 24.07?
Mistral Large 24.07 supports a context window of 128,000 tokens, allowing it to process long documents or extended conversations in a single request.
How many parameters does Mistral Large 24.07 have?
The model has 123 billion parameters, which is large enough to require single-node infrastructure but is designed to run efficiently on one node at high throughput.
What languages does Mistral Large 24.07 support?
It supports 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.
What is the training data cutoff for Mistral Large 24.07?
The training date is listed as not available in the current metadata. Mistral has not publicly specified an exact knowledge cutoff date for this version.
How is Mistral Large 24.07 available on MindStudio?
On MindStudio, the model is available via Amazon Bedrock under the model ID mistral-large-24.07-bedrock. No separate API keys are required to use it through MindStudio.
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