Model Comparison

Mistral Small 3.1 24B Base vs Mistral Small 3.1 24B Instruct

Mistral Small 3.1 24B Instruct has a slight edge in benchmark performance.

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Performance Benchmarks

Comparative analysis across standard metrics

5 benchmarks

Mistral Small 3.1 24B Base outperforms in 1 benchmarks (MMLU), while Mistral Small 3.1 24B Instruct is better at 2 benchmarks (GPQA, MMLU-Pro).

Mistral Small 3.1 24B Instruct has a slight edge in benchmark performance.

Tue Jun 02 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

0.0M diff

Mistral Small 3.1 24B Instruct has 0.0B more parameters than Mistral Small 3.1 24B Base, making it 0.0% larger.

Mistral AI
Mistral Small 3.1 24B Base
24.0Bparameters
Mistral AI
Mistral Small 3.1 24B Instruct
24.0Bparameters
24.0B
Mistral Small 3.1 24B Base
24.0B
Mistral Small 3.1 24B Instruct

Context Window

Maximum input and output token capacity

Only Mistral Small 3.1 24B Base specifies input context (128,000 tokens). Only Mistral Small 3.1 24B Base specifies output context (128,000 tokens).

Mistral AI
Mistral Small 3.1 24B Base
Input128,000 tokens
Output128,000 tokens
Mistral AI
Mistral Small 3.1 24B Instruct
Input- tokens
Output- tokens
Tue Jun 02 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Mistral Small 3.1 24B Base and Mistral Small 3.1 24B Instruct support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

Mistral Small 3.1 24B Base

Text
Images
Audio
Video

Mistral Small 3.1 24B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

Both models are licensed under Apache 2.0.

Both models share the same licensing terms, providing consistent usage rights.

Mistral Small 3.1 24B Base

Apache 2.0

Open weights

Mistral Small 3.1 24B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

Both models were released on 2025-03-17.

They likely represent similar generations of model development.

Mistral Small 3.1 24B Base

Mar 17, 2025

1.2 years ago

Mistral Small 3.1 24B Instruct

Mar 17, 2025

1.2 years ago

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Mistral AI
Larger context window (128,000 tokens)
Higher MMLU score (81.0% vs 80.6%)
Mistral AI
Higher GPQA score (46.0% vs 37.5%)
Higher MMLU-Pro score (66.8% vs 56.0%)

Detailed Comparison

AI Model Comparison Table
Feature
Mistral AI
Mistral Small 3.1 24B Base
Mistral AI
Mistral Small 3.1 24B Instruct

FAQ

Common questions about Mistral Small 3.1 24B Base vs Mistral Small 3.1 24B Instruct.

Which is better, Mistral Small 3.1 24B Base or Mistral Small 3.1 24B Instruct?

Mistral Small 3.1 24B Instruct has a slight edge in benchmark performance. Mistral Small 3.1 24B Base is made by Mistral AI and Mistral Small 3.1 24B Instruct is made by Mistral AI. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does Mistral Small 3.1 24B Base compare to Mistral Small 3.1 24B Instruct in benchmarks?

Mistral Small 3.1 24B Base scores MMLU: 81.0%, TriviaQA: 80.5%, MMMU: 59.3%, MMLU-Pro: 56.0%, GPQA: 37.5%. Mistral Small 3.1 24B Instruct scores HumanEval: 88.4%, MMLU: 80.6%, TriviaQA: 80.5%, MBPP: 74.7%, MATH: 69.3%.

What are the context window sizes for Mistral Small 3.1 24B Base and Mistral Small 3.1 24B Instruct?

Mistral Small 3.1 24B Base supports 128K tokens and Mistral Small 3.1 24B Instruct supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.