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Mistral MediumvsMistral Large 2

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

Tied — both models win in equal categories

Head-to-Head Comparison

MetricMistral MediumMistral 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 is Mistral AI's mid-tier model offering a balanced combination of performance and cost-efficiency. Built in Europe with strong multilingual support, it handles enterprise tasks, code generation, and structured data extraction competently. With a 128K context window and competitive pricing, it serves as a practical choice for production applications that need reliable performance without the cost of Mistral Large. The model is particularly strong in European languages, making it popular among EU-based organizations prioritizing data sovereignty.

View Mistral AI profile →

Mistral Large 2

Mistral Large 2 is Mistral AI's flagship model with 123 billion parameters, designed to compete with the best proprietary models while being openly available. It features a 128K context window, exceptional multilingual capabilities across dozens of languages, and strong performance on coding and mathematical reasoning. Mistral Large 2 represents Europe's strongest entry in the frontier model race, offering competitive performance with models from OpenAI and Anthropic.

View Mistral AI profile →

Key Differences: Mistral Medium vs Mistral Large 2

1

Mistral Large 2 ranks higher in arena benchmarks (#8) indicating stronger overall performance.

2

Mistral Medium is 3.3x cheaper on average, making it the better choice for high-volume applications.

3

Mistral Large 2 is open-source (free to self-host and fine-tune) while Mistral Medium is proprietary (API-only access).

M

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
View full Mistral Medium specs →
M

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
View full Mistral Large 2 specs →

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: March 2026 · Data sourced from public benchmarks and official pricing pages

Frequently Asked Questions

Which is better, Mistral Medium or Mistral Large 2?
Mistral Medium and Mistral Large 2 are closely matched, each winning in different categories. Mistral Medium excels at enterprise tasks, european languages, while Mistral Large 2 is optimized for multilingual, coding, complex reasoning. We recommend testing both for your specific use case.
How does Mistral Medium pricing compare to Mistral Large 2?
Mistral Medium charges $0.40 per 1M input tokens and $2.00 per 1M output tokens. Mistral Large 2 charges $2.00 per 1M input tokens and $6.00 per 1M output tokens. Mistral Medium is the more affordable option, approximately 3.3x 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 Medium and Mistral Large 2?
Mistral Medium supports a 128K token context window, while Mistral Large 2 supports 128K tokens. Context window size matters most for tasks involving long documents, large codebases, or extended conversations.
Can I use Mistral Medium or Mistral Large 2 for free?
Mistral Medium is a paid API model starting at $0.40 per 1M input tokens. Mistral Large 2 is a paid API model starting at $2.00 per 1M input tokens. Open-source models can be self-hosted for free but require your own GPU infrastructure.
Which model has better benchmarks, Mistral Medium or Mistral Large 2?
Mistral Medium holds arena rank #16, while Mistral Large 2 holds rank #8. Mistral Large 2 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 Medium or Mistral Large 2 better for coding?
Mistral Medium's primary strength is enterprise tasks, european languages. Mistral Large 2 is specifically optimized for coding tasks. For coding specifically, arena rank and code-specific benchmarks are the best indicators of performance.