Mistral MediumvsMistral Large 2
Mistral AI vs Mistral AI — Side-by-side model comparison
Head-to-Head Comparison
| Metric | Mistral Medium | Mistral Large 2 |
|---|---|---|
| Provider | ||
| Arena Rank | #16 | #8 |
| Context Window | 128K | 128K |
| Input Pricing | $0.40/1M tokens | $2.00/1M tokens |
| Output Pricing | $2.00/1M tokens | $6.00/1M tokens |
| Parameters | Undisclosed | 123B |
| Open Source | No | Yes |
| Best For | Enterprise tasks, European languages | Multilingual, coding, complex reasoning |
| Release Date | Jan 15, 2025 | Jul 24, 2024 |
Mistral Medium
Mistral Medium, developed by Mistral AI, is a mid-tier model with a 128K token context window designed for enterprise applications requiring balanced performance and cost. The model handles code generation, structured data extraction, summarization, and multilingual tasks with particular strength in European languages including French, German, Spanish, and Italian. Built in Paris with EU data handling practices, it appeals to organizations prioritizing data sovereignty and regulatory compliance. Priced at $0.40 per million input tokens and $2.00 per million output tokens, it offers competitive pricing for its capability tier. Mistral Medium ranks #16 on the Chatbot Arena leaderboard, reflecting solid mid-range performance. It serves as a practical production choice for workloads that need more capability than Mistral Small but do not require the full power of Mistral Large.
View Mistral AI profile →Mistral Large 2
Mistral Large 2, developed by Mistral AI, is the company's most capable model with 123 billion parameters and a 128K token context window. The model excels at complex reasoning, coding, and multilingual tasks with particular strength across European languages. Mistral Large 2 supports function calling, JSON output, and system prompts for production deployments. As an open-source model, it can be deployed on enterprise infrastructure or accessed through Mistral's API, Azure, AWS, and Google Cloud. Priced at $2.00 per million input tokens and $6.00 per million output tokens through the API. It competes directly with GPT-4o and Claude Sonnet on quality benchmarks while offering deployment flexibility that proprietary models lack. Mistral Large 2 ranks #8 on the Chatbot Arena leaderboard, confirming its position as one of the strongest European-built AI models.
View Mistral AI profile →Key Differences: Mistral Medium vs Mistral Large 2
Mistral Large 2 ranks higher in arena benchmarks (#8) indicating stronger overall performance.
Mistral Medium is 3.3x cheaper on average, making it the better choice for high-volume applications.
Mistral Large 2 is open-source (free to self-host and fine-tune) while Mistral Medium is proprietary (API-only access).
When to use Mistral Medium
- +Budget is a concern and you need cost efficiency
- +You prefer a managed API without infrastructure overhead
- +Your use case involves enterprise tasks, european languages
When to use Mistral Large 2
- +You need the highest quality output based on arena rankings
- +Quality matters more than cost
- +You need to self-host or fine-tune the model
- +Your use case involves multilingual, coding, complex reasoning
Cost Analysis
At current pricing, Mistral Medium is 3.3x more affordable than Mistral Large 2. For a typical enterprise workload processing 100M tokens per month:
Mistral Medium monthly cost
$120
100M tokens/mo (50/50 in/out)
Mistral Large 2 monthly cost
$400
100M tokens/mo (50/50 in/out)
The Verdict
This is a close matchup. Mistral Medium and Mistral Large 2 each win in different categories, making the choice highly dependent on your use case. Choose Mistral Medium for enterprise tasks, european languages. Choose Mistral Large 2 for multilingual, coding, complex reasoning.
Last compared: April 2026 · Data sourced from public benchmarks and official pricing pages