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LFM3-VL-2B vs Phi 4 Mini Reasoning

LFM3-VL-2B and Phi 4 Mini Reasoning are closely matched at 15.5 and 6.5 on the LLM Stats Score.

Liquid AI · Microsoft · Updated for 2026

Which is better?

LFM3-VL-2B and Phi 4 Mini Reasoning are closely matched on the overall LLM Stats Score at 15.5 and 6.5.

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

Choose LFM3-VL-2B

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

Choose Phi 4 Mini Reasoning

  • you are already invested in the Microsoft ecosystem

At a glance

The differences that matter most.

Core performance indexes
15.5
#265
6.5
#330
16.2
#252
6.9
#320
Cost, coverage & limits
Benchmark wins
—
—
Input price
— / M
— / M
Output price
— / M
— / M
Context window
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Individual benchmarks

41 reported for LFM3-VL-2B · 3 for Phi 4 Mini Reasoning

No common benchmarks found

LFM3-VL-2B and Phi 4 Mini Reasoningdon'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 Reasoning has 1.9B more parameters than LFM3-VL-2B, making it 97.9% larger.

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

Input capabilities

Documented input modalities across available providers

LFM3-VL-2B supports multimodal inputs, whereas Phi 4 Mini Reasoning 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 Reasoning

Text
Images
Audio
Video

License

Usage and distribution terms

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

MIT

Open weights

Release Timeline

When each model was launched

LFM3-VL-2B was released on 2026-10-27, while Phi 4 Mini Reasoning was released on 2025-04-30.

LFM3-VL-2B is 18 months newer than Phi 4 Mini Reasoning.

LFM3-VL-2B

Oct 27, 2026

5 days ago

1.5yr newer
Phi 4 Mini Reasoning

Apr 30, 2025

1.5 years ago

Knowledge Cutoff

When training data ends

Phi 4 Mini Reasoning has a documented knowledge cutoff of 2025-02-01, while LFM3-VL-2B's cutoff date is not specified.

We can confirm Phi 4 Mini Reasoning's training data extends to 2025-02-01, but cannot make a direct comparison without LFM3-VL-2B's cutoff date.

LFM3-VL-2B

—

Phi 4 Mini Reasoning

Feb 2025

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

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

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

FAQ

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

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

LFM3-VL-2B and Phi 4 Mini Reasoning are closely matched on the LLM Stats Score at 15.5 and 6.5. LFM3-VL-2B is made by Liquid AI and Phi 4 Mini Reasoning 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 Reasoning 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 Reasoning scores MATH-500: 94.6%, AIME: 57.5%, GPQA: 52.0%.

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

Key differences include LLM Stats Score (15.5 vs 6.5), 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 Reasoning?

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