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Magistral Small 2506 vs Pixtral-12B

Magistral Small 2506 leads the LLM Stats Score 10.7 to -1.6.

Mistral AI · Mistral AI · Updated for 2026

Which is better?

Magistral Small 2506 leads the overall LLM Stats Score 10.7 to -1.6, ranking #261 overall.

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 #261 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you want the most recent training data — it shipped Jun 2025

Choose Pixtral-12B

  • you want predictable pricing at $0.15/M input and $0.15/M output

At a glance

The differences that matter most.

Core performance indexes
10.7
#261
-1.6
#336
10.9
#259
-3.8
#338
5.2
#201
-2.6
#250
Cost, coverage & limits
Benchmark wins
Input price
— / M
$0.15 / M
Output price
— / M
$0.15 / M
Context window
128,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
Magistral Small 2506
Pixtral-12B
8.5#259
1.0#295
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

4 reported for Magistral Small 2506 · 12 for Pixtral-12B

No common benchmarks found

Magistral Small 2506 and Pixtral-12Bdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

11.6B diff

Magistral Small 2506 has 11.6B more parameters than Pixtral-12B, making it 93.5% larger.

Mistral AI
Magistral Small 2506
24.0Bparameters
Mistral AI
Pixtral-12B
12.4Bparameters
24.0B
Magistral Small 2506
12.4B
Pixtral-12B

Context Window

Maximum input and output token capacity

Only Pixtral-12B specifies input context (128,000 tokens). Only Pixtral-12B specifies output context (8,192 tokens).

Mistral AI
Magistral Small 2506
Input- tokens
Output- tokens
Mistral AI
Pixtral-12B
Input128,000 tokens
Output8,192 tokens
Mon Sep 21 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Pixtral-12B supports multimodal inputs, whereas Magistral Small 2506 does not.

Pixtral-12B can handle both text and other forms of data like images, making it suitable for multimodal applications.

Magistral Small 2506

Text
Images
Audio
Video

Pixtral-12B

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

Pixtral-12B

Apache 2.0

Open weights

Release Timeline

When each model was launched

Magistral Small 2506 was released on 2025-06-10, while Pixtral-12B was released on 2024-09-17.

Magistral Small 2506 is 9 months newer than Pixtral-12B.

Magistral Small 2506

Jun 10, 2025

1.3 years ago

8mo newer
Pixtral-12B

Sep 17, 2024

2.0 years ago

Knowledge Cutoff

When training data ends

Magistral Small 2506 has a documented knowledge cutoff of 2025-06-01, while Pixtral-12B'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 Pixtral-12B's cutoff date.

Magistral Small 2506

Jun 2025

Pixtral-12B

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Judge for yourself.

Run your own prompts against Magistral Small 2506 and Pixtral-12B side-by-side, then vote on the output you prefer.

Magistral Small 2506
✓ Preferred
Pixtral-12B
Open in Playground

FAQ

Common questions about Magistral Small 2506 vs Pixtral-12B.

Which is better, Magistral Small 2506 or Pixtral-12B?

Magistral Small 2506 leads the LLM Stats Score 10.7 to -1.6. Magistral Small 2506 is made by Mistral AI and Pixtral-12B 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 Pixtral-12B in benchmarks?

Magistral Small 2506 scores AIME 2024: 70.7%, GPQA: 68.2%, AIME 2025: 62.8%, LiveCodeBench: 51.3%. Pixtral-12B scores DocVQA: 90.7%, ChartQA: 81.8%, VQAv2: 78.6%, MT-Bench: 76.8%, HumanEval: 72.0%.

What are the context window sizes for Magistral Small 2506 and Pixtral-12B?

Magistral Small 2506 supports an unknown number of tokens and Pixtral-12B 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 Pixtral-12B?

Key differences include LLM Stats Score (10.7 vs -1.6), multimodal support (no vs yes). See the full comparison above for benchmark-by-benchmark results.