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Mistral Large 2

Paid

Large Enough

5.0
New AI ToolsContact
Inputs: textOutputs: text
Type
Saas
Founded
2023
Company
Mistral AI
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About Mistral Large 2

Mistral Large 2 is a 123 billion parameter language model with a 128k context window, designed for single-node inference and long-context applications. It supports over a dozen languages including French, German, Spanish, Italian, Portuguese, Arabic, Hindi, Russian, Chinese, Japanese, and Korean, along with 80+ coding languages such as Python, Java, C, C++, JavaScript, and Bash. The model was fine-tuned to reduce hallucination and improve reasoning, achieving 84.0% on MMLU. It exhibits strong performance on code generation benchmarks, instruction following, and multilingual tasks, while being trained to generate concise responses for business efficiency. Mistral Large 2 is released under the Mistral Research License for research and non-commercial use; commercial self-deployment requires a separate Mistral Commercial License.

Key Features

123 billion parameters
128k context window
Supports dozens of languages (French, German, Spanish, Italian, Portuguese, Arabic, Hindi, Russian, Chinese, Japanese, Korean)
Supports 80+ coding languages (Python, Java, C, C++, JavaScript, Bash)
Designed for single-node inference with high throughput
Trained to reduce hallucination and provide cautious, accurate responses
Improved instruction-following and multi-turn conversation handling
Generates succinct and to-the-point responses for business applications
Released under Mistral Research License for research and non-commercial use

Pros & Cons

Pros
  • High performance relative to cost of serving
  • 128k context window supports long-context tasks
  • Strong multilingual and multi-code language support
  • Reduced hallucination through cautious fine-tuning
  • Open for research and non-commercial use under Mistral Research License
  • Designed for efficient single-node deployment
Cons
  • Commercial self-deployment requires a separate commercial license (not fully open-source)
  • Large model size (123B parameters) may require significant computational resources
  • Limited to single-node inference, which may not suit all deployment scenarios

Best For

General performance and reasoning tasksCode generation and reasoning (on par with GPT-4o, Claude 3 Opus, Llama 3 405B)Multilingual document processing and business applicationsLong-context applications requiring single-node inferenceInstruction-following and complex multi-turn conversations

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FAQ

What is the context window size of Mistral Large 2?
Mistral Large 2 has a 128k context window.
What languages does Mistral Large 2 support?
It supports dozens of languages including French, German, Spanish, Italian, Portuguese, Arabic, Hindi, Russian, Chinese, Japanese, and Korean, along with 80+ coding languages.
Is Mistral Large 2 open source?
Mistral Large 2 is released under the Mistral Research License, which allows usage and modification for research and non-commercial purposes. Commercial self-deployment requires a Mistral Commercial License.
How was Mistral Large 2 trained to reduce hallucinations?
The model was fine-tuned to be more cautious and discerning in its responses, and trained to acknowledge when it cannot find solutions or does not have sufficient information.
What is the parameter size of Mistral Large 2?
Mistral Large 2 has 123 billion parameters.