Data sourced primarily from official releases (GitHub, Hugging Face, papers), then benchmark leaderboards, then third-party evaluators. Learn about our data methodology

Ministral 3 8B

Model basics

Reasoning traces

Supported

Context length

256K tokens

Max output length

No data

Model type

多模态大模型

Release date

2025-12-02

Model file size

No data

MoE architecture

Total params / Active params

80.0B / N/A

Knowledge cutoff

No data

Inference modes

常规模式（Non-Thinking Mode）思考模式（Thinking Mode）

Ministral 3 8B

Open source & experience

Code license

Apache 2.0

Weights license

Apache 2.0- 免费商用授权

GitHub repo

GitHub link unavailable

Hugging Face

https://huggingface.co/collections/mistralai/ministral-3

Live demo

https://console.mistral.ai

Ministral 3 8B

Official resources

Paper

Introducing Mistral 3

DataLearnerAI blog

No blog post yet

Ministral 3 8B

API details

API speed

3/5

💡Default unit: $/1M tokens. If vendors use other units, follow their published pricing.

Standard pricingStandard

Modality	Input	Output
Text	$0.15	$0.15

Ministral 3 8B

Benchmark Results

No benchmark data to show.

Ministral 3 8B

Publisher

MistralAI

View publisher details

Ministral 3 8B (v25.12, Base/Instruct/Reasoning)

Model Overview

简介与定位

Ministral 3 8B 面向本地/边缘部署的通用多模态模型，兼顾效率与能力；上下文 256K，Apache 2.0 许可。v25.12 同代提供 Base、Instruct 与 Reasoning 三种后训练形态（本条合并）。

规格与定价

参数：约 8B（密集）。
上下文：256K tokens。
定价：输入 $0.15 / 1M、输出 $0.15 / 1M（按本模型文档）。

渠道与权重

AI Studio 可交互；HF 提供多精度与多格式权重。

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