Mixtral 8x7B Model Card
by Anyscale
Explore detailed LLM evaluation metrics and benchmarks for Mixtral 8x7B, a open-source large language model by Anyscale. 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).
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Pricing
Input Processing
Cost per million tokens for processing prompts
$0.50per million tokens
Generation
Cost per million tokens for responses
$0.50per 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
December 11, 2023
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
70.6score
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
Not available
Code Generation (HumanEval)
Ability to write and understand programming code
Not available
Mathematical Ability (MATH)
Accuracy in mathematical computations and reasoning
Not available
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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
All Large Language Models
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Anthropic
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Frequently asked questions
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