Mistral: Mistral 7B Instruct v0.2

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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](/modelsmistralai/mistral-7b-instruct-v0.1), with the following changes: - 32k context window (vs 8k context in v0.1) - Rope-theta = 1e6 - No Sliding-Window Attention

Key Specifications
Cost
$$$
Context
32K
Parameters
7B
Released
Dec 27, 2023
Speed
Ability
Reliability
Supported Parameters

This model supports the following parameters:

Stop Presence Penalty Logit Bias Top P Temperature Min P Frequency Penalty Max Tokens
Performance Summary

Mistral: Mistral 7B Instruct v0.2 demonstrates exceptional speed and cost efficiency, consistently ranking among the fastest models and offering highly competitive pricing across all evaluated benchmarks. Its reliability is strong, achieving the 94th percentile, indicating consistent and usable responses. While excelling in efficiency, the model's accuracy varies significantly across different tasks. It shows a notable strength in Ethics, achieving 99.0% accuracy, and performs reasonably well in General Knowledge (88.3%). However, its performance in more complex cognitive tasks is a clear weakness. Accuracy in Coding (47.0%), Email Classification (89.0% but low percentile), and especially Reasoning (18.0%) is considerably lower. The model completely failed the Instruction Following benchmark with 0.0% accuracy, suggesting a significant limitation in handling multi-layered or complex directives. Its primary strengths lie in its operational efficiency and ethical alignment, while its main weaknesses are in tasks requiring advanced logical reasoning, precise instruction adherence, and complex programming knowledge.

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)
Together
Together | mistralai/mistral-7b-instruct-v0.2 32K $0.2 / 1M tokens $0.2 / 1M tokens
Benchmark Results
Benchmark Category Reasoning Free Executions Accuracy Cost Duration
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