Mistral Medium 3
Mistral Medium 3 is a text generation model from Mistral with a 128,000-token context window and a cost-efficient design.
MistralCost-efficient text generation with large context
Mistral Medium 3 is a large language model developed by Mistral, a French AI company, and released in May 2025. It is designed for text generation tasks and offers a 128,000-token context window with a maximum response size of 16,000 tokens, positioning it as a capable option for handling long documents and extended conversations. The model is tagged as both the latest release in Mistral's medium-tier lineup and as cost-efficient, indicating it is optimized to balance capability with lower inference costs.
Mistral Medium 3 is well-suited for developers and organizations that need a general-purpose language model for tasks such as summarization, question answering, drafting, and instruction following without the overhead of larger frontier models. Its large context window makes it practical for processing lengthy inputs like reports, codebases, or multi-turn dialogues in a single pass. The model is available directly through Mistral as a first-party provider and can be accessed on MindStudio without requiring separate API key management.
What Mistral Medium 3 supports
Long Context Window
Processes up to 128,000 tokens in a single request, enabling analysis of lengthy documents, codebases, or extended conversations without truncation.
Text Generation
Generates coherent, instruction-following text for tasks such as drafting, summarization, and question answering using a chat-optimized LLM architecture.
Extended Responses
Supports response outputs of up to 16,000 tokens, allowing detailed, long-form answers or multi-section documents in a single completion.
Cost-Efficient Inference
Tagged as cost-efficient, making it suitable for high-volume or budget-conscious deployments that still require a large context window.
Latest Model Version
Served under the mistral-medium-latest alias, ensuring requests automatically route to the most current version of the medium-tier model.
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Get Started FreeBenchmark scores
Scores represent accuracy — the percentage of questions answered correctly on each test.
| Benchmark | What it tests | Score |
|---|---|---|
| MMLU-Pro | Expert knowledge across 14 academic disciplines | 76.0% |
| GPQA Diamond | PhD-level science questions (biology, physics, chemistry) | 57.8% |
| MATH-500 | Undergraduate and competition-level math problems | 90.7% |
| AIME 2024 | American math olympiad problems | 44.0% |
| LiveCodeBench | Real-world coding tasks from recent competitions | 40.0% |
| HLE | Questions that challenge frontier models across many domains | 4.3% |
| SciCode | Scientific research coding and numerical methods | 33.1% |
Common questions about Mistral Medium 3
What is the context window size for Mistral Medium 3?
Mistral Medium 3 supports a context window of 128,000 tokens, meaning it can process up to that many tokens of combined input and conversation history in a single request.
What is the maximum response length?
The model can generate responses of up to 16,000 tokens in a single completion, which is suitable for long-form content, detailed reports, or extended code outputs.
Who publishes Mistral Medium 3 and how is it provided?
Mistral Medium 3 is published by Mistral and provided as a first-party model, meaning it is served directly by Mistral without a third-party intermediary.
When was Mistral Medium 3 released?
Mistral Medium 3 was released in May 2025 and was added to MindStudio on May 7, 2025.
What types of tasks is Mistral Medium 3 best suited for?
Based on its model type and design, Mistral Medium 3 is suited for general text generation tasks including summarization, instruction following, question answering, and drafting, particularly where a large context window is needed at a cost-efficient price point.
What people think about Mistral Medium 3
Community reception to Mistral Medium 3 on Reddit has been generally positive, with users in r/LocalLLaMA and r/singularity noting its coding capabilities and cost-to-performance ratio as notable attributes. Discussions around a subsequent version, Mistral Medium 3.1, generated significant engagement with over 500 upvotes on r/singularity.
A recurring concern at launch was the lack of local model support, which was explicitly noted in thread titles on r/LocalLLaMA. Some users expressed interest in running the model locally but found that option unavailable at the time of release.
Mistral Medium 3.1 LMArena
Did anyone try out Mistral Medium 3?
Mistral-Medium 3 (unfortunately no local support so far)
ClockBench: A visual AI benchmark focused on reading analog clocks
Parameters & options
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