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LFM3-1.7B vs Phi 4 Mini Reasoning

LFM3-1.7B leads the LLM Stats Score 25.0 to 6.5.

Liquid AI · Microsoft · Updated for 2026

Which is better?

LFM3-1.7B leads the overall LLM Stats Score 25.0 to 6.5, ranking #192 overall.

In the 1 individual benchmarks reported for both models, LFM3-1.7B wins 1; this is a narrower head-to-head signal than the composite indexes.

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

Choose LFM3-1.7B

  • overall performance matters — it scores 25.0 and ranks #192 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 1 of 1 exact shared results
  • 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.

LFM3-1.7B
Liquid AI
Phi 4 Mini Reasoning
Microsoft
Core performance indexes
LLM Stats Score
25.0
#192
6.5
#330
Reasoning
20.8
#216
6.9
#320
Cost, coverage & limits
Benchmark wins
1 of 1
0 of 1
Input price
— / M
— / M
Output price
— / M
— / M
Context window
—
—

Individual benchmarks

20 reported for LFM3-1.7B · 3 for Phi 4 Mini Reasoning

1 shared

LFM3-1.7B outperforms in 1 benchmarks (GPQA), while Phi 4 Mini Reasoning is better at 0 benchmarks.

LFM3-1.7B significantly outperforms across most benchmarks.

Tue Nov 03 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

2.1B diff

Phi 4 Mini Reasoning has 2.1B more parameters than LFM3-1.7B, making it 119.7% larger.

Liquid AI
LFM3-1.7B
1.7Bparameters
Microsoft
Phi 4 Mini Reasoning
3.8Bparameters
1.7B
LFM3-1.7B
3.8B
Phi 4 Mini Reasoning

License

Usage and distribution terms

LFM3-1.7B 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.

LFM3-1.7B

LFM Open License v1.0

Open weights

Phi 4 Mini Reasoning

MIT

Open weights

Release Timeline

When each model was launched

LFM3-1.7B was released on 2026-10-27, while Phi 4 Mini Reasoning was released on 2025-04-30.

LFM3-1.7B is 18 months newer than Phi 4 Mini Reasoning.

LFM3-1.7B

Oct 27, 2026

6 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 LFM3-1.7B'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 LFM3-1.7B's cutoff date.

LFM3-1.7B

—

Phi 4 Mini Reasoning

Feb 2025

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against LFM3-1.7B and Phi 4 Mini Reasoning side-by-side, then vote on the output you prefer.

LFM3-1.7B
✓ Preferred
Phi 4 Mini Reasoning
Open in Playground

FAQ

Common questions about LFM3-1.7B vs Phi 4 Mini Reasoning.

Which is better, LFM3-1.7B or Phi 4 Mini Reasoning?

LFM3-1.7B leads the LLM Stats Score 25.0 to 6.5. LFM3-1.7B 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 LFM3-1.7B compare to Phi 4 Mini Reasoning in benchmarks?

LFM3-1.7B scores IFEval: 96.7%, Multi-IF: 89.1%, LiveCodeBench v6: 73.5%, IFBench: 73.0%, BFCL-V4: 71.4%. Phi 4 Mini Reasoning scores MATH-500: 94.6%, AIME: 57.5%, GPQA: 52.0%.

What are the main differences between LFM3-1.7B and Phi 4 Mini Reasoning?

Key differences include LLM Stats Score (25.0 vs 6.5), licensing (LFM Open License v1.0 vs MIT). See the full comparison above for benchmark-by-benchmark results.

Who makes LFM3-1.7B and Phi 4 Mini Reasoning?

LFM3-1.7B is developed by Liquid AI and Phi 4 Mini Reasoning is developed by Microsoft.

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