The AI arena is free today

Open Superagent

LFM3-VL-2B vs Phi 4 Mini

LFM3-VL-2B leads the LLM Stats Score 15.5 to -4.6.

Liquid AI · Microsoft · Updated for 2026

Which is better?

LFM3-VL-2B leads the overall LLM Stats Score 15.5 to -4.6, ranking #265 overall.

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

Choose LFM3-VL-2B

  • overall performance matters — it scores 15.5 and ranks #265 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you want the most recent training data — it shipped Oct 2026

Choose Phi 4 Mini

  • you are already invested in the Microsoft ecosystem

At a glance

The differences that matter most.

Core performance indexes
15.5
#265
-4.6
#388
16.2
#252
-4.7
#381
Cost, coverage & limits
Benchmark wins
—
—
Input price
— / M
— / M
Output price
— / M
— / M
Context window
—
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
LFM3-VL-2B
Phi 4 Mini
19.0#187
2.2#317
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

41 reported for LFM3-VL-2B · 17 for Phi 4 Mini

No common benchmarks found

LFM3-VL-2B and Phi 4 Minidon'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

1.9B diff

Phi 4 Mini has 1.9B more parameters than LFM3-VL-2B, making it 100.0% larger.

Liquid AI
LFM3-VL-2B
1.9Bparameters
Microsoft
Phi 4 Mini
3.8Bparameters
1.9B
LFM3-VL-2B
3.8B
Phi 4 Mini

Input capabilities

Documented input modalities across available providers

LFM3-VL-2B supports multimodal inputs, whereas Phi 4 Mini does not.

LFM3-VL-2B can handle both text and other forms of data like images, making it suitable for multimodal applications.

LFM3-VL-2B

Text
Images
Audio
Video

Phi 4 Mini

Text
Images
Audio
Video

License

Usage and distribution terms

LFM3-VL-2B is licensed under LFM Open License v1.0, while Phi 4 Mini uses MIT.

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

LFM3-VL-2B

LFM Open License v1.0

Open weights

Phi 4 Mini

MIT

Open weights

Release Timeline

When each model was launched

LFM3-VL-2B was released on 2026-10-27, while Phi 4 Mini was released on 2025-02-01.

LFM3-VL-2B is 21 months newer than Phi 4 Mini.

LFM3-VL-2B

Oct 27, 2026

5 days ago

1.7yr newer
Phi 4 Mini

Feb 1, 2025

1.7 years ago

Knowledge Cutoff

When training data ends

Phi 4 Mini has a documented knowledge cutoff of 2024-06-01, while LFM3-VL-2B's cutoff date is not specified.

We can confirm Phi 4 Mini's training data extends to 2024-06-01, but cannot make a direct comparison without LFM3-VL-2B's cutoff date.

LFM3-VL-2B

—

Phi 4 Mini

Jun 2024

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against LFM3-VL-2B and Phi 4 Mini side-by-side, then vote on the output you prefer.

LFM3-VL-2B
✓ Preferred
Phi 4 Mini
Open in Playground

FAQ

Common questions about LFM3-VL-2B vs Phi 4 Mini.

Which is better, LFM3-VL-2B or Phi 4 Mini?

LFM3-VL-2B leads the LLM Stats Score 15.5 to -4.6. LFM3-VL-2B is made by Liquid AI and Phi 4 Mini is made by Microsoft. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does LFM3-VL-2B compare to Phi 4 Mini in benchmarks?

LFM3-VL-2B scores DocVQA: 96.7%, CountBench: 93.0%, ChartQA: 92.7%, RefCOCO-avg: 90.5%, POPE: 88.7%. Phi 4 Mini scores GSM8k: 88.6%, ARC-C: 83.7%, BoolQ: 81.2%, OpenBookQA: 79.2%, PIQA: 77.6%.

What are the main differences between LFM3-VL-2B and Phi 4 Mini?

Key differences include LLM Stats Score (15.5 vs -4.6), multimodal support (yes vs no), licensing (LFM Open License v1.0 vs MIT). See the full comparison above for benchmark-by-benchmark results.

Who makes LFM3-VL-2B and Phi 4 Mini?

LFM3-VL-2B is developed by Liquid AI and Phi 4 Mini is developed by Microsoft.