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CodestralvsMistral Medium

Mistral AI vs Mistral AI — Side-by-side model comparison

Codestral leads 3/5 categories

Head-to-Head Comparison

MetricCodestralMistral 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

1

Codestral is 2.0x cheaper on average, making it the better choice for high-volume applications.

2

Mistral Medium supports a larger context window (128K), allowing it to process longer documents in a single request.

C

When to use Codestral

  • +Budget is a concern and you need cost efficiency
  • +Your use case involves code generation, code completion, debugging
View full Codestral specs →
M

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
View full Mistral Medium specs →

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

Frequently Asked Questions

Which is better, Codestral or Mistral Medium?
In our head-to-head comparison, Codestral leads in 3 out of 5 categories (arena rank, context window, input pricing, output pricing, and parameters). Codestral excels at code generation, code completion, debugging, while Mistral Medium is better suited for enterprise tasks, european languages. The best choice depends on your specific requirements, budget, and use case.
How does Codestral pricing compare to Mistral Medium?
Codestral charges $0.30 per 1M input tokens and $0.90 per 1M output tokens. Mistral Medium charges $0.40 per 1M input tokens and $2.00 per 1M output tokens. Codestral is the more affordable option, approximately 2.0x cheaper on average. For high-volume production workloads, the pricing difference can significantly impact total cost of ownership.
What is the context window difference between Codestral and Mistral Medium?
Codestral supports a 32K token context window, while Mistral Medium supports 128K tokens. Mistral Medium can process longer documents, codebases, and conversations in a single request. Context window size matters most for tasks involving long documents, large codebases, or extended conversations.
Can I use Codestral or Mistral Medium for free?
Codestral is a paid API model starting at $0.30 per 1M input tokens. Mistral Medium is a paid API model starting at $0.40 per 1M input tokens.
Which model has better benchmarks, Codestral or Mistral Medium?
Codestral's arena rank is not yet available, while Mistral Medium holds rank #16. Note that benchmarks don't capture every use case — we recommend testing both models on your specific tasks.
Is Codestral or Mistral Medium better for coding?
Codestral is specifically optimized for coding tasks. Mistral Medium's primary strength is enterprise tasks, european languages. For coding specifically, arena rank and code-specific benchmarks are the best indicators of performance.