Mistral: Mistral 7B Instruct v0.3

Text input Text output
Author's Description

A high-performing, industry-standard 7.3B parameter model, with optimizations for speed and context length. An improved version of [Mistral 7B Instruct v0.2](/models/mistralai/mistral-7b-instruct-v0.2), with the following changes: - Extended vocabulary to 32768 - Supports v3 Tokenizer - Supports function calling NOTE: Support for function calling depends on the provider.

Key Specifications
Cost
$$
Context
32K
Parameters
7B
Released
May 26, 2024
Speed
Ability
Reliability
Supported Parameters

This model supports the following parameters:

Stop Presence Penalty Tool Choice Top P Temperature Seed Min P Tools Response Format Frequency Penalty Max Tokens
Features

This model supports the following features:

Tools Response Format
Performance Summary

Mistral: Mistral 7B Instruct v0.3, created on May 26, 2024, is positioned as a high-performing, industry-standard 7.3B parameter model with optimizations for speed and an extended context length of 32768. This iteration builds upon v0.2 with an expanded vocabulary, v3 Tokenizer support, and function calling capabilities. The model consistently performs among the fastest models and offers highly competitive pricing across various benchmarks. Its reliability is strong, with a 95th percentile ranking, indicating few technical issues and consistent usable responses. In terms of specific performance, the model demonstrates a notable strength in Ethics, achieving 97.0% accuracy, and strong General Knowledge at 86.0% accuracy. It also shows good cost efficiency across most benchmarks, particularly in Reasoning and Email Classification. However, the model exhibits significant weaknesses in Instruction Following, with 0.0% accuracy, and relatively low accuracy in Reasoning (18.0%) and Coding (48.0%). While its speed is generally good, the duration for Instruction Following and Coding benchmarks was notably high. Overall, Mistral 7B Instruct v0.3 excels in cost-effectiveness and foundational knowledge areas, but requires improvement in complex instruction adherence and advanced reasoning tasks.

Model Pricing

Current Pricing

Feature Price (per 1M tokens)
Prompt $0.028
Completion $0.054

Price History

Available Endpoints
Provider Endpoint Name Context Length Pricing (Input) Pricing (Output)
DeepInfra
DeepInfra | mistralai/mistral-7b-instruct-v0.3 32K $0.028 / 1M tokens $0.054 / 1M tokens
Enfer
Enfer | mistralai/mistral-7b-instruct-v0.3 32K $0.028 / 1M tokens $0.054 / 1M tokens
Novita
Novita | mistralai/mistral-7b-instruct-v0.3 32K $0.029 / 1M tokens $0.059 / 1M tokens
Together
Together | mistralai/mistral-7b-instruct-v0.3 32K $0.2 / 1M tokens $0.2 / 1M tokens
Benchmark Results
Benchmark Category Reasoning Free Executions Accuracy Cost Duration
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