Model Comparison

Mistral Large 2 vs Mistral Small 3 24B Base

Mistral Large 2 significantly outperforms across most benchmarks.

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Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

Mistral Large 2 outperforms in 2 benchmarks (GSM8k, MMLU), while Mistral Small 3 24B Base is better at 0 benchmarks.

Mistral Large 2 significantly outperforms across most benchmarks.

Thu May 28 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

99.4B diff

Mistral Large 2 has 99.4B more parameters than Mistral Small 3 24B Base, making it 421.2% larger.

Mistral AI
Mistral Large 2
123.0Bparameters
Mistral AI
Mistral Small 3 24B Base
23.6Bparameters
123.0B
Mistral Large 2
23.6B
Mistral Small 3 24B Base

Context Window

Maximum input and output token capacity

Only Mistral Large 2 specifies input context (128,000 tokens). Only Mistral Large 2 specifies output context (128,000 tokens).

Mistral AI
Mistral Large 2
Input128,000 tokens
Output128,000 tokens
Mistral AI
Mistral Small 3 24B Base
Input- tokens
Output- tokens
Thu May 28 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Mistral Small 3 24B Base supports multimodal inputs, whereas Mistral Large 2 does not.

Mistral Small 3 24B Base can handle both text and other forms of data like images, making it suitable for multimodal applications.

Mistral Large 2

Text
Images
Audio
Video

Mistral Small 3 24B Base

Text
Images
Audio
Video

License

Usage and distribution terms

Mistral Large 2 is licensed under Mistral Research License, while Mistral Small 3 24B Base uses Apache 2.0.

License differences may affect how you can use these models in commercial or open-source projects.

Mistral Large 2

Mistral Research License

Open weights

Mistral Small 3 24B Base

Apache 2.0

Open weights

Release Timeline

When each model was launched

Mistral Large 2 was released on 2024-07-24, while Mistral Small 3 24B Base was released on 2025-01-30.

Mistral Small 3 24B Base is 6 months newer than Mistral Large 2.

Mistral Large 2

Jul 24, 2024

1.8 years ago

Mistral Small 3 24B Base

Jan 30, 2025

1.3 years ago

6mo newer

Knowledge Cutoff

When training data ends

Mistral Small 3 24B Base has a documented knowledge cutoff of 2023-10-01, while Mistral Large 2's cutoff date is not specified.

We can confirm Mistral Small 3 24B Base's training data extends to 2023-10-01, but cannot make a direct comparison without Mistral Large 2's cutoff date.

Mistral Large 2

—

Mistral Small 3 24B Base

Oct 2023

Outputs Comparison

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Key Takeaways

Mistral AI
Larger context window (128,000 tokens)
Higher GSM8k score (93.0% vs 80.7%)
Higher MMLU score (84.0% vs 80.7%)
Mistral AI
Supports multimodal inputs

Detailed Comparison

AI Model Comparison Table
Feature
Mistral AI
Mistral Large 2
Mistral AI
Mistral Small 3 24B Base

FAQ

Common questions about Mistral Large 2 vs Mistral Small 3 24B Base.

Which is better, Mistral Large 2 or Mistral Small 3 24B Base?

Mistral Large 2 significantly outperforms across most benchmarks. Mistral Large 2 is made by Mistral AI and Mistral Small 3 24B Base is made by Mistral AI. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does Mistral Large 2 compare to Mistral Small 3 24B Base in benchmarks?

Mistral Large 2 scores GSM8k: 93.0%, HumanEval: 92.0%, MT-Bench: 86.3%, MMLU: 84.0%, MMLU French: 82.8%. Mistral Small 3 24B Base scores ARC-C: 91.3%, GSM8k: 80.7%, MMLU: 80.7%, TriviaQA: 80.3%, MBPP: 69.6%.

What are the context window sizes for Mistral Large 2 and Mistral Small 3 24B Base?

Mistral Large 2 supports 128K tokens and Mistral Small 3 24B Base supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Mistral Large 2 and Mistral Small 3 24B Base?

Key differences include multimodal support (no vs yes), licensing (Mistral Research License vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.