Mistral: Ministral 3 8B 2512
Analysis Summary
Mistral's Ministral 3 8B 2512 combines text and image input with a 262,144-token context window, tool use, and function calling. The supplied measurements show limited reasoning and coding performance, along with modest instruction-following and long-context results. Its strengths are access features and operating cost rather than demanding problem solving.
Use cases include visual classification, structured extraction, document triage, and simple support automations. Tool calls should be constrained with schemas and monitored for incorrect actions, especially in workflows without human review. The low, even pricing supports volume deployment for repetitive tasks, but the model should not lead nuanced content, coding, or autonomous agent work. Adopt it for economical multimodal utility tasks with a stronger fallback available.
Assessed August 9, 2026
Editorial notes
Ministral 3 8B provides vision, tools, function calling, and a 262K context window at low prices. Its measured reasoning, coding, and long-context capability is limited, so it fits narrow multimodal automation with supervision.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
DFO Verdict
Ministral 3 8B provides vision, tools, function calling, and a 262K context window at low prices. Its measured reasoning, coding, and long-context capability is limited, so it fits narrow multimodal automation with supervision.
Benchmark scores
Magenta = intelligence · Ink = technical/agentic · Cyan = content & long-context · Grey = community benchmarks. Data: Artificial Analysis, Hugging Face.
14.8 Intelligence Index·10 Coding Index·15.6 Agentic Index·31.7 Math Index
How Mistral: Ministral 3 8B 2512 compares
Mistral: Ministral 3 8B 2512 ranks #211 of 420 AI models we track for overall intelligence, #169 of 193 for coding, #98 of 175 for agentic tasks. Its 262K-token context window is larger than 74% 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 cost your business?
Pick the job that looks most like yours, then fine-tune with the sliders. Estimates update live.
A website chatbot handling around 100 customer conversations a day, a few short messages each.
Full calculator with 688 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 for the hard ones. Most clients cut their estimate by 60-80%.
Talk to our teamAbout Mistral: Ministral 3 8B 2512
A balanced model in the Ministral 3 family, Ministral 3 8B is a powerful, efficient tiny language model with vision capabilities.
Frequently asked questions about Mistral: Ministral 3 8B 2512
How much does Mistral: Ministral 3 8B 2512 cost?
Mistral: Ministral 3 8B 2512 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?
Mistral: Ministral 3 8B 2512 has a context window of 262,144 tokens (262K).
Is Mistral: Ministral 3 8B 2512 good for coding?
On our coding benchmark index, Mistral: Ministral 3 8B 2512 ranks #169 of 193 models, placing it in the broader range of the field for code generation and debugging.
What can Mistral: Ministral 3 8B 2512 do?
Mistral: Ministral 3 8B 2512 supports image/vision input, tool use, and function calling.
Who created Mistral: Ministral 3 8B 2512?
Mistral: Ministral 3 8B 2512 is developed by Mistral and was released on December 2, 2025.
