Ministral 3 8B
BenchLM is tracking Ministral 3 8B, but sourced benchmark results are not published on the site yet. This page currently shows the model metadata we can verify now, and score-level benchmark coverage will appear once public evaluations land.
Ministral 3 8B is a open weight model with a 128K token context window. It processes queries without explicit chain-of-thought reasoning, offering faster response times and lower token usage.
Ministral 3 8B sits inside the Ministral 3 8B family alongside Ministral 3 8B (Reasoning). This profile currently has 0 sourced benchmarks on BenchLM, so the benchmark sections below are intentionally marked as coming soon.
Ranking Distribution
Category rank across 8 benchmark categories — sorted by best rank
Category Performance
Scores across all benchmark categories (0-100 scale)
Category Breakdown
Agentic
Coding
Reasoning
Knowledge
Math
Multilingual
Multimodal
Inst. Following
Chatbot Arena Performance
Benchmark Details
Only benchmark rows with an attached exact-source record are shown here. Source-unverified manual rows and generated rows are hidden from model pages.
Compare This Model
See how Ministral 3 8B stacks up against similar models
Frequently Asked Questions
How does Ministral 3 8B perform overall in AI benchmarks?
BenchLM is tracking Ministral 3 8B, but sourced benchmark coverage is still coming soon. We currently list its creator, model type, and context window while we wait for public benchmark results.
Is Ministral 3 8B open source?
Yes, Ministral 3 8B is an open weight model created by Mistral, meaning it can be downloaded and run locally or fine-tuned for specific use cases.
Which sibling models are related to Ministral 3 8B?
Ministral 3 8B belongs to the Ministral 3 8B family. Related variants on BenchLM include Ministral 3 8B (Reasoning).
Does Ministral 3 8B have full benchmark coverage on BenchLM?
Not yet. Ministral 3 8B currently has 0 published benchmark scores out of the 178 benchmarks BenchLM tracks. BenchLM only exposes non-generated public benchmark rows, so missing categories stay blank until a sourced evaluation is available.
What is the context window size of Ministral 3 8B?
Ministral 3 8B has a context window of 128K, which determines how much text it can process in a single interaction.
Related Resources
Don't miss the next GPT moment
Which models moved up, what’s new, and what it costs. One email a week, 3-min read.
Free. One email per week.