CodestralvsMistral Medium
Mistral AI vs Mistral AI — Side-by-side model comparison
Head-to-Head Comparison
| Metric | Codestral | Mistral Medium |
|---|---|---|
| Provider | ||
| Arena Rank | — | #16 |
| Context Window | 32K | 128K |
| Input Pricing | $0.30/1M tokens | $0.40/1M tokens |
| Output Pricing | $0.90/1M tokens | $2.00/1M tokens |
| Parameters | 22B | Undisclosed |
| Open Source | No | No |
| Best For | Code generation, code completion, debugging | Enterprise tasks, European languages |
| Release Date | May 29, 2024 | Jan 15, 2025 |
Codestral
Codestral, developed by Mistral AI, is a specialized code model with 22 billion parameters and a 32K token context window trained on over 80 programming languages. The model is optimized specifically for software development tasks including code completion, generation, refactoring, documentation, and test writing. Unlike general-purpose models, Codestral's focused training delivers stronger performance on code-specific tasks, particularly fill-in-the-middle completion for IDE integration. It features low-latency inference suitable for real-time autocomplete in development environments. Priced at $0.30 per million input tokens and $0.90 per million output tokens. Codestral powers coding assistants and integrates with popular development tools including VS Code and JetBrains IDEs. Its specialized architecture achieves competitive scores on HumanEval and MBPP benchmarks, rivaling much larger general-purpose models on coding tasks.
View Mistral AI profile →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 →Key Differences: Codestral vs Mistral Medium
Codestral is 2.0x cheaper on average, making it the better choice for high-volume applications.
Mistral Medium supports a larger context window (128K), allowing it to process longer documents in a single request.
When to use Codestral
- +Budget is a concern and you need cost efficiency
- +Your use case involves code generation, code completion, debugging
When to use Mistral Medium
- +Quality matters more than cost
- +You need to process long documents (128K context)
- +Your use case involves enterprise tasks, european languages
Cost Analysis
At current pricing, Codestral is 2.0x more affordable than Mistral Medium. For a typical enterprise workload processing 100M tokens per month:
Codestral monthly cost
$60
100M tokens/mo (50/50 in/out)
Mistral Medium monthly cost
$120
100M tokens/mo (50/50 in/out)
The Verdict
Codestral wins our head-to-head comparison with 3 out of 5 category wins. It's the stronger choice for code generation, code completion, debugging, though Mistral Medium holds an edge in enterprise tasks, european languages.
Last compared: April 2026 · Data sourced from public benchmarks and official pricing pages