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LFM2.5-VL-3B vs Ministral 3 (14B Base 2512)

Comparing LFM2.5-VL-3B and Ministral 3 (14B Base 2512) across benchmarks, pricing, and capabilities.

Liquid AI · Mistral AI · Updated for 2026

Which is better?

LFM2.5-VL-3B and Ministral 3 (14B Base 2512) 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 Ministral 3 (14B Base 2512)

  • you are already invested in the Mistral AI ecosystem

At a glance

The differences that matter most.

LFM2.5-VL-3B
Liquid AI
Ministral 3 (14B Base 2512)
Mistral AI
Benchmark wins
—
—
Input price
— / M
— / M
Output price
— / M
— / M
Context window
—
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Released
Aug 2026
Dec 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 Ministral 3 (14B Base 2512)don'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

10.9B diff

Ministral 3 (14B Base 2512) has 10.9B more parameters than LFM2.5-VL-3B, making it 348.2% larger.

Liquid AI
LFM2.5-VL-3B
3.1Bparameters
Mistral AI
Ministral 3 (14B Base 2512)
14.0Bparameters
3.1B
LFM2.5-VL-3B
14.0B
Ministral 3 (14B Base 2512)

Input Capabilities

Supported data types and modalities

Both LFM2.5-VL-3B and Ministral 3 (14B Base 2512) support multimodal inputs.

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

LFM2.5-VL-3B

Text
Images
Audio
Video

Ministral 3 (14B Base 2512)

Text
Images
Audio
Video

License

Usage and distribution terms

LFM2.5-VL-3B is licensed under LFM Open License v1.0, while Ministral 3 (14B Base 2512) 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

Ministral 3 (14B Base 2512)

Apache 2.0

Open weights

Release Timeline

When each model was launched

LFM2.5-VL-3B was released on 2026-08-12, while Ministral 3 (14B Base 2512) was released on 2025-12-04.

LFM2.5-VL-3B is 8 months newer than Ministral 3 (14B Base 2512).

LFM2.5-VL-3B

Aug 12, 2026

1 weeks ago

8mo newer
Ministral 3 (14B Base 2512)

Dec 4, 2025

8 months 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→

Judge for yourself.

Run your own prompts against LFM2.5-VL-3B and Ministral 3 (14B Base 2512) side-by-side, then vote on the output you prefer.

LFM2.5-VL-3B
✓ Preferred
Ministral 3 (14B Base 2512)
Open in Playground

FAQ

Common questions about LFM2.5-VL-3B vs Ministral 3 (14B Base 2512).

Which is better, LFM2.5-VL-3B or Ministral 3 (14B Base 2512)?

LFM2.5-VL-3B (Liquid AI) and Ministral 3 (14B Base 2512) (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 Ministral 3 (14B Base 2512) in benchmarks?

LFM2.5-VL-3B scores DocVQA: 91.1%, POPE: 88.7%, RefCOCO-avg: 87.9%, TextVQA: 84.3%, OCRBench: 84.2%. Ministral 3 (14B Base 2512) scores MMLU-Redux: 82.0%, MMLU: 79.4%, TriviaQA: 74.9%, Multilingual MMLU: 74.2%, MATH (CoT): 67.6%.

What are the main differences between LFM2.5-VL-3B and Ministral 3 (14B Base 2512)?

Key differences include 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 Ministral 3 (14B Base 2512)?

LFM2.5-VL-3B is developed by Liquid AI and Ministral 3 (14B Base 2512) is developed by Mistral AI.

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