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Mistral LargevsMistral Medium

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

Mistral Large leads 4/5 categories

Head-to-Head Comparison

MetricMistral LargeMistral Medium
Provider
Arena Rank
#8
#16
Context Window
256K
128K
Input Pricing
$0.50/1M tokens
$0.40/1M tokens
Output Pricing
$1.50/1M tokens
$2.00/1M tokens
Parameters
675B MoE (41B active)
Undisclosed
Open Source
No
No
Best For
European privacy, multilingual, code
Enterprise tasks, European languages
Release Date
Jan 15, 2025

Mistral Large

Mistral Large is the flagship model from Mistral AI, Europe's leading AI company. Built in Paris with a focus on multilingual capability and European language support, it delivers strong performance on coding, reasoning, and enterprise tasks while offering competitive pricing. The model features a 256K context window and supports function calling, JSON output, and system prompts. Mistral Large is particularly strong at code generation, technical writing, and structured data extraction. As a European-developed model, it appeals to organizations prioritizing data sovereignty and EU compliance. Mistral AI has positioned this model as the enterprise alternative to American-built models, with deployment options through their own API, Azure, AWS, and Google Cloud. The company has rapidly grown to become one of the most valuable AI startups globally.

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: Mistral Large vs Mistral Medium

1

Mistral Large ranks higher in arena benchmarks (#8) indicating stronger overall performance.

2

Mistral Medium is 1.2x cheaper on average, making it the better choice for high-volume applications.

3

Mistral Large supports a larger context window (256K), allowing it to process longer documents in a single request.

M

When to use Mistral Large

  • +You need the highest quality output based on arena rankings
  • +Quality matters more than cost
  • +You need to process long documents (256K context)
  • +Your use case involves european privacy, multilingual, code
View full Mistral Large specs →
M

When to use Mistral Medium

  • +Budget is a concern and you need cost efficiency
  • +Your use case involves enterprise tasks, european languages
View full Mistral Medium specs →

Cost Analysis

At current pricing, Mistral Medium is 1.2x more affordable than Mistral Large. For a typical enterprise workload processing 100M tokens per month:

Mistral Large monthly cost

$100

100M tokens/mo (50/50 in/out)

Mistral Medium monthly cost

$120

100M tokens/mo (50/50 in/out)

The Verdict

Mistral Large wins our head-to-head comparison with 4 out of 5 category wins. It's the stronger choice for european privacy, multilingual, code, though Mistral Medium holds an edge in enterprise tasks, european languages. If cost is your primary concern, Mistral Medium offers better value.

Last compared: April 2026 · Data sourced from public benchmarks and official pricing pages

Frequently Asked Questions

Which is better, Mistral Large or Mistral Medium?
In our head-to-head comparison, Mistral Large leads in 4 out of 5 categories (arena rank, context window, input pricing, output pricing, and parameters). Mistral Large excels at european privacy, multilingual, code, 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 Mistral Large pricing compare to Mistral Medium?
Mistral Large charges $0.50 per 1M input tokens and $1.50 per 1M output tokens. Mistral Medium charges $0.40 per 1M input tokens and $2.00 per 1M output tokens. Mistral Medium is the more affordable option, approximately 1.2x 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 Mistral Large and Mistral Medium?
Mistral Large supports a 256K token context window, while Mistral Medium supports 128K tokens. Mistral Large 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 Mistral Large or Mistral Medium for free?
Mistral Large is a paid API model starting at $0.50 per 1M input tokens. Mistral Medium is a paid API model starting at $0.40 per 1M input tokens.
Which model has better benchmarks, Mistral Large or Mistral Medium?
Mistral Large holds arena rank #8, while Mistral Medium holds rank #16. Mistral Large performs better in overall arena benchmarks, which aggregate human preference ratings across coding, reasoning, and general tasks. Note that benchmarks don't capture every use case — we recommend testing both models on your specific tasks.
Is Mistral Large or Mistral Medium better for coding?
Mistral Large 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.