Mistral Large 24.07
Single-node inference model with 128k context window supporting dozens of languages and 80+ coding languages.
Mistral 
Amazon Bedrock 128k context with multilingual and code support
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.
What Mistral Large 24.07 supports
Long Context Window
Processes up to 128,000 tokens in a single request, enabling analysis of long documents, codebases, or extended conversations without truncation.
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.
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Get Started FreeBenchmark scores
Scores represent accuracy — the percentage of questions answered correctly on each test.
| Benchmark | What it tests | Score |
|---|---|---|
| MMLU-Pro | Expert knowledge across 14 academic disciplines | 69.7% |
| GPQA Diamond | PhD-level science questions (biology, physics, chemistry) | 48.6% |
| MATH-500 | Undergraduate and competition-level math problems | 73.6% |
| AIME 2024 | American math olympiad problems | 11.0% |
| LiveCodeBench | Real-world coding tasks from recent competitions | 29.3% |
| HLE | Questions that challenge frontier models across many domains | 4.0% |
| SciCode | Scientific research coding and numerical methods | 29.2% |
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.
Parameters & options
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