Analysis Summary
Ministral 3 8B is Mistral's compact multimodal model, supporting text and images with a 262K context window. Tool use and function calling give it practical utility for structured workflows, while equal and low input and output pricing make frequent calls economical. Its compact positioning is appropriate for volume tasks where latency and cost are important.
Agency use cases include image-aware content tagging, brief extraction, metadata generation, simple customer-support routing, and repeatable SEO transformations. The supplied record has no independent benchmark data for this batch variant, so its reasoning, coding, and agentic reliability remain uncertain. It should not lead complex research, nuanced editorial work, or autonomous actions without strong safeguards. Use it as a low-cost component for narrowly defined tasks with validation and escalation paths.
Assessed September 1, 2026
Editorial notes
Ministral 3 8B offers vision, a 262K context window, tool use, and function calling at very low pricing. Without independent benchmark data for this batch variant, it is best reserved for routine multimodal automation and extraction.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
DFO Verdict
Ministral 3 8B offers vision, a 262K context window, tool use, and function calling at very low pricing. Without independent benchmark data for this batch variant, it is best reserved for routine multimodal automation and extraction.
How Mistral: Ministral 3 8B 2512 (batch) compares
Its 262K-token context window is larger than 72% of the models we list. At $0.15 per million input tokens it is cheaper than 61% 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.
Strongest on value. The pulled-in technical corner is the trade-off, and if the shape matters more than the price, this is your model.
Compare shapes side-by-side →Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $0.15 | $0.000150 |
| Output | $0.15 | $0.000150 |
What would Mistral: Ministral 3 8B 2512 (batch) cost your business?
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A website chatbot handling around 100 customer conversations a day, a few short messages each.
Full calculator with 750 models → Price Calculator
These numbers get smaller with the right architecture.
We route routine calls to cheap models and save Mistral: Ministral 3 8B 2512 (batch) for the hard ones. Most clients cut their estimate by 60-80%.
Talk to our teamAbout Mistral: Ministral 3 8B 2512 (batch)
A balanced model in the Ministral 3 family, Ministral 3 8B is a powerful, efficient tiny language model with vision capabilities.
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Frequently asked questions about Mistral: Ministral 3 8B 2512 (batch)
How much does Mistral: Ministral 3 8B 2512 (batch) cost?
Mistral: Ministral 3 8B 2512 (batch) costs $0.15 per million input tokens and $0.15 per million output tokens.
What is the context window of Mistral: Ministral 3 8B 2512 (batch)?
Mistral: Ministral 3 8B 2512 (batch) has a context window of 262,144 tokens (262K).
What can Mistral: Ministral 3 8B 2512 (batch) do?
Mistral: Ministral 3 8B 2512 (batch) supports image/vision input, tool use, and function calling.
Who created Mistral: Ministral 3 8B 2512 (batch)?
Mistral: Ministral 3 8B 2512 (batch) is developed by Mistral and was released on December 2, 2025.
Data sourced from the OpenRouter API, Artificial Analysis, the Hugging Face Open LLM Leaderboard and our own internal testing. Scores are editorially curated by our team.
Last updated: September 4, 2026 3:55 pm