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:

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

This model supports the following features:

Tools Structured Outputs Response Format
Performance Summary

Mistral Tiny, powered by Mistral-7B-v0.2, demonstrates a balanced performance profile, particularly excelling in operational efficiency. It performs among the faster models, ranking in the 69th percentile for speed across various benchmarks. Similarly, it offers competitive pricing, also placing in the 69th percentile for cost-effectiveness. A significant strength is its high reliability, consistently providing usable responses with an 84th percentile ranking, indicating minimal technical failures. In terms of specific capabilities, Mistral Tiny shows varied performance. It achieves reasonable accuracy in General Knowledge (87.5%) and Coding (73.0%), though these scores place it in the lower percentiles for accuracy within those categories. Its performance in Classification (Email Classification: 90.0% accuracy) is strong in absolute terms but ranks low comparatively (18th percentile). However, the model exhibits notable weaknesses in more complex cognitive tasks such as Instruction Following (27.0% accuracy), Reasoning (24.0% accuracy), and particularly in Ethics (4.0% accuracy), where it ranks in the lowest percentiles. This suggests its utility is best suited for large batch processing where cost and speed are primary drivers, and complex reasoning or nuanced ethical understanding is not critical.

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 Free Executions Accuracy Cost Duration
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