Analysis Summary
Mistral 7B Instruct is a text model released in May 2024. The supplied data reports an intelligence index of 5 and a 32K context window, with low listed input and output pricing. No coding, instruction-following, or agentic results are included, and tool use, function calling, and vision are not specified.
Its low cost and moderate context capacity may make it suitable for simple, well-defined text tasks, provided the workflow includes review. The available evidence does not establish reliability for complex reasoning, long-form client content, or tool-driven automation. Teams should pilot it against their own outputs and compare the quality gains from stronger models with the cost savings on routine tasks. It is a budget-tier candidate, not a recommended default for work where errors could reach clients.
Assessed September 23, 2026
Editorial notes
Mistral 7B Instruct has a 32K context window and low listed pricing, but its measured intelligence index is low and no tool-use details are provided.
The DFO score ranks models on the Artificial Analysis Intelligence Index and is refreshed as new models launch. The write-up and verdict are our own. Feedback?
DFO Verdict
Mistral 7B Instruct has a 32K context window and low listed pricing, but its measured intelligence index is low and no tool-use details are provided.
Benchmarks
Artificial Analysis data refreshed Oct 8, 2026. Arena ratings from the Oct 2, 2026 text leaderboard, with style control.
Artificial Analysis has not published coding or agentic results for Mistral: Mistral 7B Instruct yet. Until it does, the model sits below tested models on the Coding and AI Agents lists.
How Mistral: Mistral 7B Instruct compares
Mistral: Mistral 7B Instruct ranks #401 of 435 AI models we track for overall intelligence. Its 33K-token context window is larger than 26% of the models we list. At $0.20 per million input tokens it is cheaper than 52% of comparable models.
Dark bar = input · light bar = output, scaled to the priciest peer.
1M tokens ≈ 8 full-length novels or ~2,500 pages of business documents in a single request.
Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $0.20 | $0.000200 |
| Output | $0.20 | $0.000200 |
What would Mistral: Mistral 7B Instruct cost your business?
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A website chatbot handling around 100 customer conversations a day, a few short messages each.
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These numbers get smaller with the right architecture.
We route routine calls to cheap models and save Mistral: Mistral 7B Instruct for the hard ones. Most clients cut their estimate by 60-80%.
Talk to our teamAbout Mistral: Mistral 7B Instruct
A high-performing, industry-standard 7.3B parameter model, with optimizations for speed and context length. *Mistral 7B Instruct has multiple version variants, and this is intended to be the latest version.*
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Frequently asked questions about Mistral: Mistral 7B Instruct
How much does Mistral: Mistral 7B Instruct cost?
Mistral: Mistral 7B Instruct costs $0.20 per million input tokens and $0.20 per million output tokens.
What is the context window of Mistral: Mistral 7B Instruct?
Mistral: Mistral 7B Instruct has a context window of 32,768 tokens (33K).
Who created Mistral: Mistral 7B Instruct?
Mistral: Mistral 7B Instruct is developed by Mistral and was released on May 27, 2024.
Benchmarks from Artificial Analysis, pricing from the OpenRouter API, and verdicts from our own testing.
Last updated: October 8, 2026 8:39 pm