Mistral: Mixtral 8x7B Instruct

Mistral: Mixtral 8x7B Instruct

mistralai · Released Dec 10, 2023 Professional
Intelligence #14 / 590
82.0 Our Score
AA Index #362 / 385
2.4 Artificial Analysis
Input #396 / 592
$0.540 per 1M tokens
Output #269 / 592
$0.540 per 1M tokens
Context #406 / 592
32,768 tokens

Analysis Summary

Mixtral 8x7B Instruct was an influential open-weight model at its 2023 release, demonstrating the viability of sparse mixture-of-experts architectures. Today, its intelligence index of 2.4 and limited coding benchmarks place it well below current mid-tier models. The 32K context window is constraining, and while tool use and function calling are supported, its agentic reliability is limited.

For businesses, Mixtral 8x7B Instruct has largely been superseded. Its reasoning and coding capability are insufficient for most professional workflows, and its pricing at $0.54 per million tokens for both input and output is not competitive given the availability of far more capable models at similar or lower cost. It remains of historical interest as an open-weight model but offers little practical advantage today.

Teams that originally adopted it for its open-weight flexibility should consider migrating to more recent open-weight alternatives, which offer substantially better reasoning, larger context windows, and stronger instruction following at comparable deployment costs.

Assessed June 17, 2026

Editorial notes

Mixtral 8x7B Instruct is a legacy open-weight MoE model from Mistral with limited reasoning benchmarks, a small context window, and pricing that no longer reflects its capability relative to current alternatives.

Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?

Performance Profile

Intelligence1Technical0Value7Content0
Intelligence 1/10
Technical 0/10
Content 0/10
Value 7/10

How Mistral: Mixtral 8x7B Instruct compares

Mistral: Mixtral 8x7B Instruct ranks #362 of 385 AI models we track for overall intelligence. Its 33K-token context window is larger than 31% of the models we list. At $0.54 per million input tokens it is cheaper than 33% of comparable models.

About Mistral: Mixtral 8x7B Instruct

Mixtral 8x7B Instruct is a pretrained generative Sparse Mixture of Experts, by Mistral AI, for chat and instruction use. Incorporates 8 experts (feed-forward networks) for a total of 47 billion..

7B Parameters

Capabilities

Tool Use Function Calling

Architecture Detail

Instruct Typemistral

Performance Indices

Source: Artificial Analysis

2.4 Intelligence Index

Benchmark Scores

Intelligence

GPQA Diamond 29.2% Graduate-level scientific reasoning
HLE 4.5% Humanity's Last Exam
MMLU Pro 38.7% Multi-task language understanding
MATH 500 29.9% Mathematical problem-solving
SciCode 2.8% Scientific computing

Technical

LiveCodeBench 6.6% Live coding evaluation

Benchmark data from Artificial Analysis and Hugging Face

How does Mistral: Mixtral 8x7B Instruct stack up?

Compare side-by-side with other professional models.

Compare Models

Model Information

OpenRouter ID mistralai/mixtral-8x7b-instruct
Providermistralai
Release Date December 10, 2023
Context Length32,768 tokens
Max Completion16,384 tokens
Status Active

Pricing

Token Type Cost per 1M tokens Cost per 1K tokens
Input $0.54 $0.000540
Output $0.54 $0.000540

Leaderboard Categories

Frequently asked questions about Mistral: Mixtral 8x7B Instruct

How much does Mistral: Mixtral 8x7B Instruct cost?

Mistral: Mixtral 8x7B Instruct costs $0.54 per million input tokens and $0.54 per million output tokens.

What is the context window of Mistral: Mixtral 8x7B Instruct?

Mistral: Mixtral 8x7B Instruct has a context window of 32,768 tokens (33K).

What can Mistral: Mixtral 8x7B Instruct do?

Mistral: Mixtral 8x7B Instruct supports tool use and function calling.

Who created Mistral: Mixtral 8x7B Instruct?

Mistral: Mixtral 8x7B Instruct is developed by Mistral and was released on December 10, 2023.