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Mistral Large 2vsMistral Medium

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

Tied — both models win in equal categories

Head-to-Head Comparison

MetricMistral Large 2Mistral Medium
Provider
Arena Rank
#8
#16
Context Window
128K
128K
Input Pricing
$2.00/1M tokens
$0.40/1M tokens
Output Pricing
$6.00/1M tokens
$2.00/1M tokens
Parameters
123B
Undisclosed
Open Source
Yes
No
Best For
Multilingual, coding, complex reasoning
Enterprise tasks, European languages
Release Date
Jul 24, 2024
Jan 15, 2025

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 →

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 2 vs Mistral Medium

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 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 →
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 →

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 Large 2 monthly cost

$400

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

Mistral Medium monthly cost

$120

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

The Verdict

This is a close matchup. Mistral Large 2 and Mistral Medium each win in different categories, making the choice highly dependent on your use case. Choose Mistral Large 2 for multilingual, coding, complex reasoning. Choose Mistral Medium for enterprise tasks, european languages.

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

Frequently Asked Questions

Which is better, Mistral Large 2 or Mistral Medium?
Mistral Large 2 and Mistral Medium are closely matched, each winning in different categories. Mistral Large 2 excels at multilingual, coding, complex reasoning, while Mistral Medium is optimized for enterprise tasks, european languages. We recommend testing both for your specific use case.
How does Mistral Large 2 pricing compare to Mistral Medium?
Mistral Large 2 charges $2.00 per 1M input tokens and $6.00 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 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 Large 2 and Mistral Medium?
Mistral Large 2 supports a 128K token context window, while Mistral Medium supports 128K tokens. Context window size matters most for tasks involving long documents, large codebases, or extended conversations.
Can I use Mistral Large 2 or Mistral Medium for free?
Mistral Large 2 is a paid API model starting at $2.00 per 1M input tokens. Mistral Medium is a paid API model starting at $0.40 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 Large 2 or Mistral Medium?
Mistral Large 2 holds arena rank #8, while Mistral Medium holds rank #16. 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 Large 2 or Mistral Medium better for coding?
Mistral Large 2 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.