Mistral AI : Open-Source Generative AI for Developers & Businesses

logo of Mistral AI

  • Mistral Large - cutting-edge text generation model.
  • Le Chat.
  • La Plateforme.
  • Frontier performance.
  • Open and portable technology.
  • Flexible deployment.
  • Customizable.
  • Multilingual proficiency: English, French, Italian, German, and Spanish.
  • Code comprehension: Strong understanding and processing of code.
  • Extensive context window: Considers 32,000 tokens of text for comprehensive understanding, aiding retrieval tasks.
  • Retrieval augmentation: Employs "excellent recall" techniques to retrieve relevant information effectively.
  • Function calling capabilities: Can interact with external functions and services, expanding its potential applications.
  • JSON output format: Provides structured data for easy integration with various systems.
  • Focus on conciseness and usefulness: Aims to deliver factual and relevant information without personal opinions.
  • Modular moderation control: Offers customizable control over content moderation for specific use cases.
  • High retrieval score: Achieved a score of 55.26 on the MTEB benchmark, indicating strong performance in retrieving relevant information.

Engage with AI: Try Le Chat from Mistral AI (Chat Interface)

Le Chat: The Conversational AI from Mistral AI

Mistral AI: Open-Source, High-Performance, and State-of-the-Art

Mistral offers top-tier reasoning capabilities and ranks second among all models available through an API.

#2 Public LLM: Mistral AI Delivers Top-Tier Reasoning

Figure 1: A comparison was conducted on MMLU (Measuring Massive Multitask Language Understanding) among several leading models, including GPT-4, Mistral Large (pre-trained), Claude 2, Gemini Pro 1.0, GPT 3.5, and LLaMA 2 70B.

Figure 2:The top-leading Large Language Models (LLMs) on the market were evaluated for their performance on widespread common sense, reasoning, and knowledge benchmarks, including MMLU (Measuring Massive Multitask Language Understanding), HellaSwag (10-shot), Wino Grande (5-shot), Arc Challenge (5-shot and 25-shot), TriviaQA (5-shot), and TruthfulQA.

A comparison between Mistral Large, Mixtral 8x7B, and LLaMA 2 70B across HellaSwag, Arc Challenge, and MMLU benchmarks in French, German, Spanish, and Italian.

Figure 3: A comparison between Mistral Large, Mixtral 8x7B, and LLaMA 2 70B across HellaSwag, Arc Challenge, and MMLU benchmarks in French, German, Spanish, and Italian.

Figure 4: The performance of leading LLM models in the market was evaluated across popular coding and math benchmarks, including HumanEval pass@1, MBPP pass@1, Math maj@4, GSM8K maj@8 (8-shot), and GSM8K maj@1 (5-shot).

Image Credit : Mistral AI Website &  X/GuillaumeLample

Mistral AI: Powering Businesses with Performance-Driven LLMs

AI models:

Mistral AI-optimized commercial models are designed for performance.

  • Mistral Small : Affordable reasoning for quick-response tasks.
  • Mistral Large : High-performance reasoning for complex tasks.
  • Mistral Embed: Extracting semantic representations of text data.

Mistral AI open models are available for free, with a fully permissive license.

Mistral 7B :

  • Mistral 7B is a 7-billion-parameter transformer model.
  • Fast-deployment.
  • Easy customization.
  • Fluency in English.
  • Supports an 8,000-token context window for comprehensive understanding.

Mixtral 8x7B:

  • Mixtral 8x7B stands as the premier choice for cutting-edge AI applications.
  • Leveraging a 7-billion-parameter sparse Mixture-of-Experts (SMoE) architecture, it utilizes 12 billion active parameters out of a total of 45 billion.
  • Proficiency in English, French, Italian, German, and Spanish.
  • Strong in code.
  • Supports an 32,000-token context window for deeper understanding.

Both Models have an Apache 2.0 License. Both models offer concise, useful, and impartial outputs, with modular moderation control for enhanced customization and control.

Mistral AI Powers Innovation: Top Clients Leading the AI Charge

MongoDB, OctoAI, Lamini, Arcane , Lindy, HuggingFace, BNP Paribas, Orange, Brave , Cloudflare, Pretto

Boost Performance: Mistral AI's Optimized Commercial Models

ai tool pricing icon  Mistral AI pricing

  • Mistral Large have a different pricing structure and is based on the number of tokens processed.
  • Mistral Large (Input) - $8/1M tokens.
  • Mistral Large (Output) - $24/1M tokens.
  • Mistral 7B(Input) - $0.25/1M tokens.
  • Mistral 7B(Output) - $0.25/1M tokens.
  • Mixtral 8x7B (Input) - $0.7/1M tokens.
  • Mixtral 8x7B (Output) - $0.7/1M tokens.
  • Mistral Small (Input) -$2/1M tokens.
  • Mistral Small (Output) -$6/1M tokens.
  • Mistral Medium (Input) - $2.7/ 1M tokens.
  • Mistral Medium (Output) - $8.1/ 1M tokens.
  • Mistral Embed - $0.1 / 1M tokens.
  • All endpoints have a rate limit of 2 requests per second, 2 million tokens per minute, and 200 million tokens per month.
  • Embedding models: Increased limits coming in the future.

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