Ministral 3 3B

Ministral 3 3B

Mistral · Released Dec 2, 2025
Intelligence #393 / 756
30.7 our score
Speed #27 / 333
213.6 tok/s
Input Price #244 / 779
$0.100 per 1M tokens
Output Price #166 / 779
$0.100 per 1M tokens
Context
Not reported

Analysis Summary

Ministral 3 3B is Mistral's compact model for lightweight inference and cost-sensitive workloads. At $0.10 per million tokens for both input and output, it is economical for simple classification, short rewrites, extraction, and other narrowly defined operations.

The benchmark profile shows limited reasoning, coding, long-context handling, instruction following, and tool-oriented reliability. That makes it unsuitable for complex client strategy, autonomous agents, difficult SEO briefs, or unsupervised customer-facing copy. It can still be useful as a routing, filtering, or first-pass model when prompts are tightly constrained and outputs receive validation. Adopt it for volume utility tasks, not as a general-purpose content partner.

Assessed September 7, 2026

Editorial notes

Ministral 3 3B is an inexpensive compact model for simple drafting and classification, priced at $0.10 per million tokens. Its small scale brings weak reasoning, instruction following, coding, and long-context reliability.

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

DFO Verdict

Ministral 3 3B is an inexpensive compact model for simple drafting and classification, priced at $0.10 per million tokens. Its small scale brings weak reasoning, instruction following, coding, and long-context reliability.

#393 of 756 overall

Benchmark scores

GPQA Diamond 35.8%
HLE 5.3%
MMLU Pro 52.4%
AIME 2025 22%
SciCode 14.4%
LiveCodeBench 24.7%
τ²-Bench 24.9%
IFBench 26.8%
LCR 11.7%

Magenta = intelligence · Ink = technical/agentic · Cyan = content & long-context · Grey = community benchmarks. Data: Artificial Analysis, Hugging Face.

4.8 Intelligence Index·4.8 Coding Index·0.8 Agentic Index·22 Math Index

How Ministral 3 3B compares

Ministral 3 3B ranks #421 of 438 AI models we track for overall intelligence, #199 of 210 for coding, #178 of 192 for agentic tasks. At $0.10 per million input tokens it is cheaper than 69% of comparable models.

Position in the field
Intelligence: smarter than 48% of models #393
Speed: faster than 92% of models #27
Price: cheaper than 69% of models #244
worst in fieldmedianbest in field
Price vs frontier peers · $ per 1M tokens
Ministral 3 3B $0.10 in $0.10 out
OpenAI: GPT-6 Astra $10.00 in $50.00 out
Anthropic: Claude Fable 5.1 $10.00 in $50.00 out
Claude Opus 5 $5.00 in $25.00 out

Dark bar = input · light bar = output, scaled to the priciest peer.

Context window vs peers · tokens

1M tokens ≈ 8 full-length novels or ~2,500 pages of business documents in a single request.

Intelligence1.1Technical0.8Value7.3Content3.4
Performance profile

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 $0.10 $0.000100
Output $0.10 $0.000100

What would Ministral 3 3B 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.

3,000
One request is one message, email, draft or automation call.
1,200 tokens

$0/mo Ministral 3 3B

Full calculator with 779 models → Price Calculator

DFO AI AUTOMATION

These numbers get smaller with the right architecture.

We route routine calls to cheap models and save Ministral 3 3B for the hard ones. Most clients cut their estimate by 60-80%.

Talk to our team

Frequently asked questions about Ministral 3 3B

How much does Ministral 3 3B cost?

Ministral 3 3B costs $0.10 per million input tokens and $0.10 per million output tokens.

Is Ministral 3 3B good for coding?

On our coding benchmark index, Ministral 3 3B ranks #199 of 210 models, placing it in the broader range of the field for code generation and debugging.

Who created Ministral 3 3B?

Ministral 3 3B is developed by Mistral and was released on December 2, 2025.

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