LangMart: Mistral: Mistral Medium 3
Model Overview
| Property | Value |
|---|---|
| Model ID | openrouter/mistralai/mistral-medium-3 |
| Name | Mistral: Mistral Medium 3 |
| Provider | mistralai |
| Released | 2025-05-07 |
Description
Mistral Medium 3 is a high-performance enterprise-grade language model designed to deliver frontier-level capabilities at significantly reduced operational cost. It balances state-of-the-art reasoning and multimodal performance with 8× lower cost compared to traditional large models, making it suitable for scalable deployments across professional and industrial use cases.
The model excels in domains such as coding, STEM reasoning, and enterprise adaptation. It supports hybrid, on-prem, and in-VPC deployments and is optimized for integration into custom workflows. Mistral Medium 3 offers competitive accuracy relative to larger models like Claude Sonnet 3.5/3.7, Llama 4 Maverick, and Command R+, while maintaining broad compatibility across cloud environments.
Description
LangMart: Mistral: Mistral Medium 3 is a language model provided by mistralai. This model offers advanced capabilities for natural language processing tasks.
Provider
mistralai
Specifications
| Spec | Value |
|---|---|
| Context Window | 131,072 tokens |
| Modalities | text+image->text |
| Input Modalities | text, image |
| Output Modalities | text |
Pricing
| Type | Price |
|---|---|
| Input | $0.40 per 1M tokens |
| Output | $2.00 per 1M tokens |
Capabilities
- Frequency penalty
- Max tokens
- Presence penalty
- Response format
- Seed
- Stop
- Structured outputs
- Temperature
- Tool choice
- Tools
- Top p
Detailed Analysis
Mistral Medium 3 is a balanced mid-tier model positioned between Mistral Small and Large, offering strong performance at significantly lower cost than flagship models. This model targets use cases requiring more intelligence than Small models but not justifying Large model expense. Medium 3 excels at conversational AI with nuanced understanding, moderate code generation (full functions, not complex architectures), content creation with creative flair, and general reasoning tasks. The model achieves approximately 70-75% of Large model quality while running 3-4x faster and costing 60-70% less. Medium 3 is ideal for customer service chatbots requiring personality and context, content generation tools (blog posts, marketing copy, creative writing), educational assistants with subject matter depth, and multi-turn conversations requiring coherence and memory. The 'Medium' tier represents Mistral's belief that most applications don't need maximum intelligence and benefit more from optimized price/performance balance.