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MistralReleased on Dec 4, 2025

Ministral 3 (8B Base 2512): API Pricing, Context Window & Benchmarks

Ministral 3 (8B Base 2512) is a language model from Mistral, released in December 2025, with multimodal input.

A balanced model in the Ministral 3 family, Ministral 3 8B is a powerful, efficient tiny language model with vision capabilities. This model is the base pre-trained version, not fine-tuned for instruction or reasoning tasks, making it

Ministral 3 (8B Base 2512) benchmarks

Rankings

Quality Tracker

Ministral 3 (8B Base 2512) Performance Across Datasets

Scores sourced from the model's scorecard, paper, or official blog posts

LLM Stats Logollm-stats.com - Fri Aug 07 2026
Notice missing or incorrect data?

Ministral 3 (8B Base 2512) model size

Ministral 3 (8B Base 2512) has 8 billion parameters. See how it compares to other models in the same parameter range.

Parameters
8B
Small (3–10B)
8B
1B7B70B405B

Ministral 3 (8B Base 2512) API

Available from the model provider

Ministral 3 (8B Base 2512) has an official provider API. It is not currently routed through the LLM Stats gateway.

Read the official API documentation

Ministral 3 (8B Base 2512) latency

Ministral 3 (8B Base 2512) time to first token, sustained output throughput, and failed-request rate from live API traffic over the trailing 7 days.

Ministral 3 (8B Base 2512) examples

Recent arena outputs from Ministral 3 (8B Base 2512), picked from the highest-ranked matchups.

Ministral 3 (8B Base 2512) license

Ministral 3 (8B Base 2512) is released under the Apache 2.0 license, which permits commercial use, has 8.0B parameters.

License
Apache 2.0
Commercial use allowed
Parameters
8.0B

Apache License 2.0 - allows commercial use

Ministral 3 (8B Base 2512) resources

Official sources for Ministral 3 (8B Base 2512): api documentation, official playground, official launch post, model weights.

Ministral 3 (8B Base 2512) vs other models

The most-compared alternatives to Ministral 3 (8B Base 2512) are Command R+, Ministral 3 (14B Base 2512), Claude 3 Haiku. Open any pair side-by-side for benchmarks, pricing, context, and latency.

Models like Ministral 3 (8B Base 2512)

Models ranked just above and below Ministral 3 (8B Base 2512) by LLM Stats score.

 

Command R+

Score pending
 

Ministral 3 (14B Base 2512)

Score pending
 

Claude 3 Haiku

Score pending
 

Nova Micro

Score pending
 

Gemma 2 27B

Score pending
 

Qwen2.5 14B Instruct

Score pending

FAQ

Common questions about Ministral 3 (8B Base 2512).

When was Ministral 3 (8B Base 2512) released?

Ministral 3 (8B Base 2512) was released on December 4, 2025 by Mistral. This is the official Ministral 3 (8B Base 2512) release date tracked on LLM Stats.

Is Ministral 3 (8B Base 2512) available via API?

Yes, Ministral 3 (8B Base 2512) is available via API. See the official documentation for authentication and endpoint details.

How big is Ministral 3 (8B Base 2512)?

Ministral 3 (8B Base 2512) has 8 billion parameters. It ships as an open-weight model, so you can download and run it on your own hardware.

Who created Ministral 3 (8B Base 2512)?

Ministral 3 (8B Base 2512) was created by Mistral.

What is the license for Ministral 3 (8B Base 2512)?

Ministral 3 (8B Base 2512) is released under the Apache 2.0 license. This is an open-source / open-weight license that permits self-hosting.

Is Ministral 3 (8B Base 2512) multimodal?

Yes, Ministral 3 (8B Base 2512) is multimodal and can accept both text and images as input.

Where is the Ministral 3 (8B Base 2512) paper or technical report?

Ministral 3 (8B Base 2512) has a paper or technical report available at https://mistral.ai/news/mistral-3. Use that source for architecture, training, release and evaluation details.

What models should I compare Ministral 3 (8B Base 2512) against?

Common Ministral 3 (8B Base 2512) comparisons include Ministral 3 (8B Base 2512) vs Command R+, Ministral 3 (8B Base 2512) vs Ministral 3 (14B Base 2512), Ministral 3 (8B Base 2512) vs Claude 3 Haiku. Compare them side by side for benchmark scores, pricing, context window, latency and API availability.