- Teams needing strong multilingual open model performance across European languages
- Developers evaluating agentic-tuned models for production agent workflows
- Builders looking for Apache-2.0 licensed alternatives to US-based open model families
Models
Mistral Large 3
Europe's most powerful open model, 675B MoE (41B active), agentic-tuned, strong multilingual performance.
10K Stars
Apache-2.0 License
Open sourceLocal firstSelf-hosted
About
Mistral Large 3 overview
Europe's most powerful open model, 675B MoE (41B active), agentic-tuned, strong multilingual performance.
Compare
How it compares
Evaluate Mistral Large 3 against nearby options by workload fit, license, and deployment model.
FAQ
Questions
What should I check before using Mistral Large 3?
Run your own prompt set across reasoning, coding, latency, context length, and license constraints.
Is Mistral Large 3 open source?
Mistral Large 3 is listed on OpenAgent.bot with Apache-2.0 based on the current resource metadata. Re-check the official repository, docs, and license before production use.
Tags
Capabilities
Decision brief
JSON
Should you use Mistral Large 3?
- Use cases requiring a small dense model rather than a large MoE architecture
- Teams that cannot independently verify model behavior for their specific language and domain
- Verified 2026-06-16
- License: Apache-2.0
- Repo: mistralai/mistral-large
- Open-source signal
Deployment
local, self hosted, cloud
Permission surface
Low explicit permission surface in metadata
Decision signals
Local first, Self-hostable
Agent packet
Structured decision data for Mistral Large 3
This packet is the compact machine-readable view agents should use before following source links or taking action.
Capabilities
local inference, inference
Constraints
open source, open weights, self hosted, local first
Deployment
local, self hosted, cloud
Permission surface
Low explicit permission surface in metadata
Recommended workflows
Browser automation, Local or private AI stack
Overview
What Mistral Large 3 does
What it is
Mistral Large 3 is a model in the models category. Europe's most powerful open model, 675B MoE (41B active), agentic-tuned, strong multilingual performance.
Why it matters
Mistral Large 3 is Europe's most powerful open model with a 675B MoE architecture (41B active parameters), offering strong multilingual performance and agentic tuning that makes it a leading choice for European AI builders.
How to evaluate it
Evaluate Mistral Large 3 by starting from the official sources, checking its docs, demo interface surface, and running one narrow workflow before expanding scope. Recorded integrations include GitHub, Hugging Face.
Facts
Known metadata and operating surface
These fields are separated from editorial interpretation so agents can reason over facts and missing checks.
Resource type model
Category Models
Maturity active
Difficulty Unknown
License Apache-2.0
Pricing open source
Verified 2026-06-16
Source confidence medium
Risk level low
Fit matrix
Where Mistral Large 3 fits in an agent stack
strong
Browser automation
Mistral Large 3 has multiple signals for browser automation, including matching tags, capabilities, category, or positioning.
- Run one non-sensitive website task and inspect clicks, waits, retries, and changed URLs.
- Confirm official docs, current maintenance, license, and runtime constraints before production use.
strong
Local or private AI stack
Mistral Large 3 has multiple signals for local or private ai stack, including matching tags, capabilities, category, or positioning.
- Verify hardware requirements, data path, storage, and whether all calls stay in your environment.
- Confirm official docs, current maintenance, license, and runtime constraints before production use.
partial
Evaluation and observability
Mistral Large 3 has at least one signal for evaluation and observability, but should be checked against a real task before adoption.
- Add one repeatable test case and confirm results can run again in review or CI.
- Confirm official docs, current maintenance, license, and runtime constraints before production use.
partial
Reusable skill workflow
Mistral Large 3 has at least one signal for reusable skill workflow, but should be checked against a real task before adoption.
- Run one skill end to end and check whether it produces evidence or structured output.
- Confirm official docs, current maintenance, license, and runtime constraints before production use.
weak
Coding agent workflow
Mistral Large 3 is not primarily positioned for coding agent workflow in the current metadata.
- Run a small repository change and inspect the diff, tests, and rollback path.
- Confirm official docs, current maintenance, license, and runtime constraints before production use.
weak
Connector or protocol layer
Mistral Large 3 is not primarily positioned for connector or protocol layer in the current metadata.
- Connect one low-risk service, then inspect schemas, auth scope, errors, and logs.
- Confirm official docs, current maintenance, license, and runtime constraints before production use.
Inputs and outputs
What an agent should inspect
Likely inputs
- Prompts, messages, documents, images, or model inputs
- Official setup instructions and a small real workflow
Likely outputs
- Scores, traces, regression results, dashboards, or failure cases
- A decision on whether this resource fits the target workflow
Evidence
Sources, claims, and missing checks
Claims are marked separately from source links so future crawlers and reviewers can update them without rewriting the page.
Mistral Large 3 is listed as open source.
License metadata: Apache-2.0Mistral Large 3 has a recorded GitHub repository: mistralai/mistral-large.
Resource facts and GitHub source link.Mistral Large 3 supports these recorded deployment modes: local, self hosted, cloud.
OpenAgent decision signal metadata.Mistral Large 3 is tagged with local inference, inference capabilities.
OpenAgent capability taxonomy.- Dedicated docs link is missing.
- Repository freshness has not been recorded.
Next action
How to start evaluating Mistral Large 3
Inspect repository
Check license, recent activity, issues, examples, and security-sensitive code paths.
Open source Compare
Alternatives and nearby resources
Use related resources to compare category fit, license, deployment model, and first-workflow behavior.
FAQ
Common questions about Mistral Large 3
What is Mistral Large 3 used for?
Mistral Large 3 is used as a model for models workflows. The most relevant recorded capabilities are local inference, inference.
Is Mistral Large 3 open source?
Mistral Large 3 is listed as open source with Apache-2.0 license metadata. Re-check the official repository or source link before production use.
Can agents use Mistral Large 3 directly?
Mistral Large 3 has recorded interfaces such as docs, demo. Agents should prefer the JSON or Markdown profile first, then follow official docs for real execution.
What should I check before production use?
Check source confidence (medium), risk level (low), license, maintenance freshness, permission surface, required credentials, and whether the first workflow succeeds in a sandbox.