Mistral Large Model Card
by Mistral
Explore detailed LLM evaluation metrics and benchmarks for Mistral Large, a open-source large language model by Mistral. Compare API costs, context windows, and performance across multiple LLM benchmarks including MMLU (general knowledge), MMMU (multimodal capabilities), HellaSwag (common sense reasoning), HumanEval (code generation), and MATH (mathematical reasoning).
Pricing
Input Processing
Cost per million tokens for processing prompts
$2.00per million tokens
Generation
Cost per million tokens for responses
$6.00per million tokens
Model Details
Context Length
Maximum input length the model can process at once
32000Ktokens
Response Length
Maximum length of a single generated response
4Ktokens
Release Date
First public release date
February 26, 2024
Training Cutoff
Latest date of data included in training
Unknown
License Type
Model licensing and availability
Open Source
Performance Metrics
General Knowledge (MMLU)
Accuracy on diverse academic and real-world topics
81.2score
5-shotsource
Multimodal Tasks (MMMU)
Performance on tasks combining text, images, and other media
Not available
Common Sense (HellaSwag)
Understanding of everyday scenarios and situations
89.2score
10-shotsource
Code Generation (HumanEval)
Ability to write and understand programming code
Not available
Mathematical Ability (MATH)
Accuracy in mathematical computations and reasoning
Not available
- 🚀
10+ AI Templates
Ready-to-use demos for text, image & chat
- ⚡
Modern Tech Stack
Next.js 14, TypeScript & Tailwind
- 🔌
AI Integrations
OpenAI, Anthropic & Replicate ready
- 🛠️
Full Infrastructure
Auth, database & payments included
- 🎨
Professional Design
6+ landing pages & modern UI kit
- 📱
Production Ready
SEO optimized & ready to deploy
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FAQ
Frequently asked questions
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