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LFM2.5-VL-3B vs Magistral Small 2506

Comparing LFM2.5-VL-3B and Magistral Small 2506 across benchmarks, pricing, and capabilities.

Liquid AI · Mistral AI · Updated for 2026

Which is better?

LFM2.5-VL-3B and Magistral Small 2506 trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.

Based on current benchmark, pricing, and model metadata for 2026.

Choose LFM2.5-VL-3B

  • you want the most recent training data — it shipped Aug 2026

Choose Magistral Small 2506

  • you are already invested in the Mistral AI ecosystem

At a glance

The differences that matter most.

Benchmark wins
Input price
— / M
— / M
Output price
— / M
— / M
Context window
Released
Aug 2026
Jun 2025
License
LFM Open License v1.0
Apache 2.0

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

LFM2.5-VL-3B and Magistral Small 2506don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Playground indexes and blind preference scores

Model Size

Parameter count comparison

20.9B diff

Magistral Small 2506 has 20.9B more parameters than LFM2.5-VL-3B, making it 668.4% larger.

Liquid AI
LFM2.5-VL-3B
3.1Bparameters
Mistral AI
Magistral Small 2506
24.0Bparameters
3.1B
LFM2.5-VL-3B
24.0B
Magistral Small 2506

Input Capabilities

Supported data types and modalities

LFM2.5-VL-3B supports multimodal inputs, whereas Magistral Small 2506 does not.

LFM2.5-VL-3B can handle both text and other forms of data like images, making it suitable for multimodal applications.

LFM2.5-VL-3B

Text
Images
Audio
Video

Magistral Small 2506

Text
Images
Audio
Video

License

Usage and distribution terms

LFM2.5-VL-3B is licensed under LFM Open License v1.0, while Magistral Small 2506 uses Apache 2.0.

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

LFM2.5-VL-3B

LFM Open License v1.0

Open weights

Magistral Small 2506

Apache 2.0

Open weights

Release Timeline

When each model was launched

LFM2.5-VL-3B was released on 2026-08-12, while Magistral Small 2506 was released on 2025-06-10.

LFM2.5-VL-3B is 14 months newer than Magistral Small 2506.

LFM2.5-VL-3B

Aug 12, 2026

1 weeks ago

1.2yr newer
Magistral Small 2506

Jun 10, 2025

1.2 years ago

Knowledge Cutoff

When training data ends

Magistral Small 2506 has a documented knowledge cutoff of 2025-06-01, while LFM2.5-VL-3B'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 LFM2.5-VL-3B's cutoff date.

LFM2.5-VL-3B

Magistral Small 2506

Jun 2025

Outputs Comparison

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Judge for yourself.

Run your own prompts against LFM2.5-VL-3B and Magistral Small 2506 side-by-side, then vote on the output you prefer.

LFM2.5-VL-3B
✓ Preferred
Magistral Small 2506
Open in Playground

FAQ

Common questions about LFM2.5-VL-3B vs Magistral Small 2506.

Which is better, LFM2.5-VL-3B or Magistral Small 2506?

LFM2.5-VL-3B (Liquid AI) and Magistral Small 2506 (Mistral AI) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does LFM2.5-VL-3B compare to Magistral Small 2506 in benchmarks?

LFM2.5-VL-3B scores DocVQA: 91.1%, POPE: 88.7%, RefCOCO-avg: 87.9%, TextVQA: 84.3%, OCRBench: 84.2%. Magistral Small 2506 scores AIME 2024: 70.7%, GPQA: 68.2%, AIME 2025: 62.8%, LiveCodeBench: 51.3%.

What are the main differences between LFM2.5-VL-3B and Magistral Small 2506?

Key differences include multimodal support (yes vs no), licensing (LFM Open License v1.0 vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes LFM2.5-VL-3B and Magistral Small 2506?

LFM2.5-VL-3B is developed by Liquid AI and Magistral Small 2506 is developed by Mistral AI.