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LFM3-1.7B vs Phi 4

LFM3-1.7B leads the LLM Stats Score 25.0 to 4.9.

Liquid AI · Microsoft · Updated for 2026

Which is better?

LFM3-1.7B leads the overall LLM Stats Score 25.0 to 4.9, ranking #192 overall.

In the 2 individual benchmarks reported for both models, LFM3-1.7B wins 2; 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 2 of 2 exact shared results
  • you want the most recent training data — it shipped Oct 2026

Choose Phi 4

  • you want predictable pricing at $0.07/M input and $0.14/M output

At a glance

The differences that matter most.

Core performance indexes
25.0
#192
4.9
#336
20.8
#216
6.0
#326
7.4
#218
3.3
#253
Cost, coverage & limits
Benchmark wins
2 of 2
0 of 2
Input price
— / M
$0.07 / M
Output price
— / M
$0.14 / M
Context window
—
16,384

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
LFM3-1.7B
Phi 4
7.6#285
12.8#250
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

20 reported for LFM3-1.7B · 13 for Phi 4

2 shared

LFM3-1.7B outperforms in 2 benchmarks (GPQA, IFEval), while Phi 4 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

13.0B diff

Phi 4 has 13.0B more parameters than LFM3-1.7B, making it 749.7% larger.

Liquid AI
LFM3-1.7B
1.7Bparameters
Microsoft
Phi 4
14.7Bparameters
1.7B
LFM3-1.7B
14.7B
Phi 4

Context Window

Maximum input and output token capacity

Only Phi 4 specifies input context (16,384 tokens). Only Phi 4 specifies output context (16,384 tokens).

Liquid AI
LFM3-1.7B
Input- tokens
Output- tokens
Microsoft
Phi 4
Input16,384 tokens
Output16,384 tokens
Tue Nov 03 2026 • llm-stats.com

License

Usage and distribution terms

LFM3-1.7B is licensed under LFM Open License v1.0, while Phi 4 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

MIT

Open weights

Release Timeline

When each model was launched

LFM3-1.7B was released on 2026-10-27, while Phi 4 was released on 2024-12-12.

LFM3-1.7B is 23 months newer than Phi 4.

LFM3-1.7B

Oct 27, 2026

5 days ago

1.9yr newer
Phi 4

Dec 12, 2024

1.9 years ago

Knowledge Cutoff

When training data ends

Phi 4 has a documented knowledge cutoff of 2024-06-01, while LFM3-1.7B's cutoff date is not specified.

We can confirm Phi 4's training data extends to 2024-06-01, but cannot make a direct comparison without LFM3-1.7B's cutoff date.

LFM3-1.7B

—

Phi 4

Jun 2024

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

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

LFM3-1.7B
✓ Preferred
Phi 4
Open in Playground

FAQ

Common questions about LFM3-1.7B vs Phi 4.

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

LFM3-1.7B leads the LLM Stats Score 25.0 to 4.9. LFM3-1.7B is made by Liquid AI and Phi 4 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 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 scores MMLU: 84.8%, HumanEval+: 82.8%, HumanEval: 82.6%, MGSM: 80.6%, MATH: 80.4%.

What are the context window sizes for LFM3-1.7B and Phi 4?

LFM3-1.7B supports an unknown number of tokens and Phi 4 supports 16K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

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

Key differences include LLM Stats Score (25.0 vs 4.9), 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?

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