Mistral: Mistral 7B Instruct v0.3

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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:

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

This model supports the following features:

Tools Response Format
Performance Summary

Mistral 7B Instruct v0.3, a 7.3B parameter model from mistralai, demonstrates exceptional speed and cost-efficiency. It consistently ranks among the fastest models and offers highly competitive pricing, placing it in the Infinityth percentile for both categories across seven benchmarks. The model also exhibits strong reliability with a 95% success rate, indicating minimal technical failures. In terms of performance across benchmarks, the model shows a mixed profile. It achieves a respectable 86.0% accuracy in General Knowledge and a high 97.0% in Ethics, suggesting a solid understanding of factual information and ethical principles. However, its performance in Hallucinations (56.0% accuracy) indicates a tendency to generate information rather than acknowledge uncertainty. A significant weakness is observed in Instruction Following, where it scored 0.0% accuracy, suggesting challenges with complex, multi-step directives. Reasoning (20.0% accuracy) and Coding (48.0% accuracy) also present areas for improvement. Email Classification shows moderate performance at 89.0% accuracy. Key strengths lie in its speed, cost-effectiveness, and reliability, alongside its ethical understanding and general knowledge. Weaknesses are primarily in its ability to follow complex instructions, reasoning, and coding tasks, as well as its propensity for hallucination.

Model Pricing

Current Pricing

Feature Price (per 1M tokens)
Prompt $0.2
Completion $0.2

Price History

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