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Magistral Small 2506 vs Mistral Small 3.1 24B Base

Magistral Small 2506 leads the LLM Stats Score 10.7 to 0.3.

Mistral AI · Mistral AI · Updated for 2026

Which is better?

Magistral Small 2506 leads the overall LLM Stats Score 10.7 to 0.3, ranking #267 overall.

In the 1 individual benchmarks reported for both models, Magistral Small 2506 wins 1; this is a narrower head-to-head signal than the composite indexes.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose Magistral Small 2506

  • overall performance matters — it scores 10.7 and ranks #267 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 1 of 1 exact shared results
  • you want the most recent training data — it shipped Jun 2025

Choose Mistral Small 3.1 24B Base

  • you want predictable pricing at $0.10/M input and $0.30/M output

At a glance

The differences that matter most.

Magistral Small 2506
Mistral AI
Mistral Small 3.1 24B Base
Mistral AI
Core performance indexes
LLM Stats Score
10.7
#267
0.3
#331
Reasoning
10.9
#265
0.5
#322
Cost, coverage & limits
Benchmark wins
1 of 1
0 of 1
Input price
— / M
$0.10 / M
Output price
— / M
$0.30 / M
Context window
—
128,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
Magistral Small 2506
Mistral Small 3.1 24B Base
Math
8.5#260
4.7#280
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

4 reported for Magistral Small 2506 · 5 for Mistral Small 3.1 24B Base

1 shared

Magistral Small 2506 outperforms in 1 benchmarks (GPQA), while Mistral Small 3.1 24B Base is better at 0 benchmarks.

Magistral Small 2506 significantly outperforms across most benchmarks.

Tue Sep 22 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

0.0M diff

Mistral Small 3.1 24B Base has 0.0B more parameters than Magistral Small 2506, making it 0.0% larger.

Mistral AI
Magistral Small 2506
24.0Bparameters
Mistral AI
Mistral Small 3.1 24B Base
24.0Bparameters
24.0B
Magistral Small 2506
24.0B
Mistral Small 3.1 24B Base

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
Magistral Small 2506
Input- tokens
Output- tokens
Mistral AI
Mistral Small 3.1 24B Base
Input128,000 tokens
Output128,000 tokens
Tue Sep 22 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Mistral Small 3.1 24B Base supports multimodal inputs, whereas Magistral Small 2506 does not.

Mistral Small 3.1 24B Base can handle both text and other forms of data like images, making it suitable for multimodal applications.

Magistral Small 2506

Text
Images
Audio
Video

Mistral Small 3.1 24B Base

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.

Magistral Small 2506

Apache 2.0

Open weights

Mistral Small 3.1 24B Base

Apache 2.0

Open weights

Release Timeline

When each model was launched

Magistral Small 2506 was released on 2025-06-10, while Mistral Small 3.1 24B Base was released on 2025-03-17.

Magistral Small 2506 is 3 months newer than Mistral Small 3.1 24B Base.

Magistral Small 2506

Jun 10, 2025

1.3 years ago

2mo newer
Mistral Small 3.1 24B Base

Mar 17, 2025

1.5 years ago

Knowledge Cutoff

When training data ends

Magistral Small 2506 has a documented knowledge cutoff of 2025-06-01, while Mistral Small 3.1 24B Base's cutoff date is not specified.

We can confirm Magistral Small 2506's training data extends to 2025-06-01, but cannot make a direct comparison without Mistral Small 3.1 24B Base's cutoff date.

Magistral Small 2506

Jun 2025

Mistral Small 3.1 24B Base

—

Outputs Comparison

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Judge for yourself.

Run your own prompts against Magistral Small 2506 and Mistral Small 3.1 24B Base side-by-side, then vote on the output you prefer.

Magistral Small 2506
✓ Preferred
Mistral Small 3.1 24B Base
Open in Playground

FAQ

Common questions about Magistral Small 2506 vs Mistral Small 3.1 24B Base.

Which is better, Magistral Small 2506 or Mistral Small 3.1 24B Base?

Magistral Small 2506 leads the LLM Stats Score 10.7 to 0.3. Magistral Small 2506 is made by Mistral AI and Mistral Small 3.1 24B Base is made by Mistral AI. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does Magistral Small 2506 compare to Mistral Small 3.1 24B Base in benchmarks?

Magistral Small 2506 scores AIME 2024: 70.7%, GPQA: 68.2%, AIME 2025: 62.8%, LiveCodeBench: 51.3%. Mistral Small 3.1 24B Base scores MMLU: 81.0%, TriviaQA: 80.5%, MMMU: 59.3%, MMLU-Pro: 56.0%, GPQA: 37.5%.

What are the context window sizes for Magistral Small 2506 and Mistral Small 3.1 24B Base?

Magistral Small 2506 supports an unknown number of tokens and Mistral Small 3.1 24B Base supports 128K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Magistral Small 2506 and Mistral Small 3.1 24B Base?

Key differences include LLM Stats Score (10.7 vs 0.3), multimodal support (no vs yes). See the full comparison above for benchmark-by-benchmark results.

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