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Magistral Small 2506 vs MiMo-V2.6-Pro

MiMo-V2.6-Pro leads the LLM Stats Score 49.8 to 10.7.

Mistral AI · Xiaomi · Updated for 2026

Which is better?

MiMo-V2.6-Pro leads the overall LLM Stats Score 49.8 to 10.7, ranking #19 overall.

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

Choose Magistral Small 2506

  • you are already invested in the Mistral AI ecosystem

Choose MiMo-V2.6-Pro

  • overall performance matters — it scores 49.8 and ranks #19 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes
  • you want the most recent training data — it shipped Sep 2026

At a glance

The differences that matter most.

Magistral Small 2506
Mistral AI
MiMo-V2.6-Pro
Xiaomi
Core performance indexes
LLM Stats Score
10.7
#264
49.8
#19
Reasoning
10.9
#262
45.2
#30
Coding
5.2
#204
41.8
#9
Cost, coverage & limits
Benchmark wins
—
—
Input price
— / M
$0.43 / M
Output price
— / M
$0.87 / M
Context window
—
1,048,576

Individual benchmarks

4 reported for Magistral Small 2506 · 18 for MiMo-V2.6-Pro

No common benchmarks found

Magistral Small 2506 and MiMo-V2.6-Prodon'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

996.0B diff

MiMo-V2.6-Pro has 996.0B more parameters than Magistral Small 2506, making it 4150.0% larger.

Mistral AI
Magistral Small 2506
24.0Bparameters
Xiaomi
MiMo-V2.6-Pro
1.0Tparameters
24.0B
Magistral Small 2506
1020.0B
MiMo-V2.6-Pro

Context Window

Maximum input and output token capacity

Only MiMo-V2.6-Pro specifies input context (1,048,576 tokens).

Mistral AI
Magistral Small 2506
Input- tokens
Output- tokens
Xiaomi
MiMo-V2.6-Pro
Input1,048,576 tokens
Output- tokens
Tue Sep 22 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

MiMo-V2.6-Pro supports multimodal inputs, whereas Magistral Small 2506 does not.

MiMo-V2.6-Pro can handle both text and other forms of data like images, making it suitable for multimodal applications.

Magistral Small 2506

Text
Images
Audio
Video

MiMo-V2.6-Pro

Text
Images
Audio
Video

License

Usage and distribution terms

Magistral Small 2506 is licensed under Apache 2.0, while MiMo-V2.6-Pro uses MIT.

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

Magistral Small 2506

Apache 2.0

Open weights

MiMo-V2.6-Pro

MIT

Open weights

Release Timeline

When each model was launched

Magistral Small 2506 was released on 2025-06-10, while MiMo-V2.6-Pro was released on 2026-09-22.

MiMo-V2.6-Pro is 16 months newer than Magistral Small 2506.

Magistral Small 2506

Jun 10, 2025

1.3 years ago

MiMo-V2.6-Pro

Sep 22, 2026

-1 days ago

1.3yr newer

Knowledge Cutoff

When training data ends

Magistral Small 2506 has a documented knowledge cutoff of 2025-06-01, while MiMo-V2.6-Pro'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 MiMo-V2.6-Pro's cutoff date.

Magistral Small 2506

Jun 2025

MiMo-V2.6-Pro

—

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against Magistral Small 2506 and MiMo-V2.6-Pro side-by-side, then vote on the output you prefer.

Magistral Small 2506
✓ Preferred
MiMo-V2.6-Pro
Open in Playground

FAQ

Common questions about Magistral Small 2506 vs MiMo-V2.6-Pro.

Which is better, Magistral Small 2506 or MiMo-V2.6-Pro?

MiMo-V2.6-Pro leads the LLM Stats Score 49.8 to 10.7. Magistral Small 2506 is made by Mistral AI and MiMo-V2.6-Pro is made by Xiaomi. 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 MiMo-V2.6-Pro in benchmarks?

Magistral Small 2506 scores AIME 2024: 70.7%, GPQA: 68.2%, AIME 2025: 62.8%, LiveCodeBench: 51.3%. MiMo-V2.6-Pro scores CyberGym: 94.0%, Terminal-Bench 2.1: 89.9%, OSWorld-Verified: 82.0%, MiMo Cyber Bench: 81.7%, Toolathlon-Verified: 76.9%.

What are the context window sizes for Magistral Small 2506 and MiMo-V2.6-Pro?

Magistral Small 2506 supports an unknown number of tokens and MiMo-V2.6-Pro supports 1.0M 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 MiMo-V2.6-Pro?

Key differences include LLM Stats Score (10.7 vs 49.8), multimodal support (no vs yes), licensing (Apache 2.0 vs MIT). See the full comparison above for benchmark-by-benchmark results.

Who makes Magistral Small 2506 and MiMo-V2.6-Pro?

Magistral Small 2506 is developed by Mistral AI and MiMo-V2.6-Pro is developed by Xiaomi.

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