Mistral Tiny

Text input Text output
Author's Description

Note: This model is being deprecated. Recommended replacement is the newer [Ministral 8B](/mistral/ministral-8b) This model is currently powered by Mistral-7B-v0.2, and incorporates a "better" fine-tuning than [Mistral 7B](/models/mistralai/mistral-7b-instruct-v0.1), inspired by community work. It's best used for large batch processing tasks where cost is a significant factor but reasoning capabilities are not crucial.

Key Specifications
Cost
$$
Context
32K
Parameters
7B (Rumoured)
Released
Jan 09, 2024
Speed
Ability
Reliability
Supported Parameters

This model supports the following parameters:

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

This model supports the following features:

Tools Response Format Structured Outputs
Performance Summary

Mistral Tiny, powered by Mistral-7B-v0.2 with enhanced fine-tuning, demonstrates strong performance in specific areas, particularly for large batch processing where cost-efficiency is paramount. The model performs among the fastest models, ranking in the 71st percentile for speed across seven benchmarks. It also offers competitive pricing, placing in the 69th percentile for cost-effectiveness. Notably, Mistral Tiny exhibits high reliability with an 86% success rate, indicating consistent and usable responses. Analysis of benchmark results reveals a mixed performance profile. Its strongest area appears to be in Coding, achieving 73.0% accuracy, and General Knowledge at 87.5% accuracy, though these still place it in the lower percentiles for accuracy within those categories. However, the model struggles significantly with tasks requiring nuanced understanding or ethical reasoning, scoring only 4.0% accuracy in Ethics and 27.0% in Instruction Following. Its hallucination rate is also high at 48.0% accuracy, suggesting a tendency to generate fictional information rather than acknowledge uncertainty. While cost-effective and fast, its limited reasoning capabilities and high hallucination rate make it less suitable for tasks demanding high accuracy, complex reasoning, or ethical considerations.

Model Pricing

Current Pricing

Feature Price (per 1M tokens)
Prompt $0.25
Completion $0.25

Price History

Available Endpoints
Provider Endpoint Name Context Length Pricing (Input) Pricing (Output)
Mistral
Mistral | mistralai/mistral-tiny 32K $0.25 / 1M tokens $0.25 / 1M tokens
Benchmark Results
Benchmark Category Reasoning Strategy Free Executions Accuracy Cost Duration
Other Models by mistralai