Mistral Large 2
Last Updated on: Sep 12, 2025
Mistral Large 2
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What is Mistral Large 2?
Mistral Large 2 is the second-generation flagship model from Mistral AI, released in July 2024. Also referenced as mistral-large-2407, it’s a 123 B-parameter dense LLM with a 128 K-token context window, supporting dozens of languages and 80+ coding languages. It excels in reasoning, code generation, mathematics, instruction-following, and function calling—designed for high throughput on single-node setups.
Who can use Mistral Large 2 & how?
  • Developers & Engineers: Build chatbots, code tools, analytics apps, and RAG systems with function-calling.
  • Data Scientists & Analysts: Process long documents, codebases, and multilingual data within a single context window.
  • Educators & Students: Solve advanced math tasks (GSM8K, Math benchmarks) and generate code.
  • Enterprises & API Users: Deploy via Mistral’s La Plateforme, Azure, AWS Bedrock, IBM Watsonx, or self-host using open weights.
  • Open-Source Advocates: Use free weights for research/non-commercial; commercial use via license.

How to Use Mistral Large 2?
  • Model Access: Call `mistral-large-2407` via La Plateforme API, or through cloud endpoints (Azure, AWS Bedrock, IBM Watsonx).
  • Deploy Locally: Download weights and run with Mistral Inference or Hugging Face Transformers.
  • Send Large Context Prompts: Support up to 128K tokens for text, code, or documents.
  • Invoke Function Calling & JSON Mode: Native structured outputs and tool integration.
  • Integrate in Apps: Use for coding, QA, math, and multilingual use cases with high accuracy and efficiency.
What's so unique or special about Mistral Large 2?
  • High Parameter Efficiency: With 123B dense parameters, Mistral Large 2 achieves GPT-4o and Claude 3-level performance with fewer resources.
  • 128K Context Window: Handles massive documents, codebases, or multimodal inputs in a single pass.
  • Powerhouse Code & Reasoning: Exceptional in OpenAI-grade code tasks, math benchmarks, and reasoning, rivaling closed models.
  • Multilingual & Function Calling: Fluent across many languages and supports advanced agentic capabilities.
Things We Like
  • High performance with fewer parameters
  • Extremely long context supports complex workflows
  • Excellent code/math/reasoning benchmarks
  • Native support for function calling and structured output
  • Deployable across major cloud platforms & open weights
Things We Don't Like
  • Deprecated as of May 2025 in GitHub Models – users should switch to version 24.11
  • Dense architecture uses more compute than Mixture-of-Experts alternatives
  • Commercial usage requires licensing (research use is free)
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Pricing
Freemium

Chat

0/$14.99/$24.99 per month

Available via chat. Free, Pro, & Enterprise Plan
Free - $0
Pro - $14.99 per month
Enterprise - $24.99 per month

API

$2/$6 per 1M tokens

Training Cost - $9 per 1M tokens
Stirage Cost - $4 per month per model
Input - $2 per 1M tokens
Output - $6 per 1M tokens
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FAQs

Mistral’s flagship dense LLM (123B params, 128K context) released July 2024 under version 24.07 (mistral-large-2407).
MMLU: 84.0%; HumanEval: 92%; GSM8K: 93%; Math benchmarks: ~70–71.5%, code and reasoning match GPT‑4o/Claude 3.
Up to 128,000 tokens, ideal for long documents or code.
Yes—supports JSON output and agentic function calling natively.
Available via La Plateforme, Azure, AWS Bedrock, IBM Watsonx, or through downloaded weights for self-hosting.

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