The AI arena is free today

Open Superagent

GPT-4.1 mini vs LFM3-1.7B

LFM3-1.7B leads the LLM Stats Score 25.0 to 13.3.

OpenAI · Liquid AI · Updated for 2026

Which is better?

LFM3-1.7B leads the overall LLM Stats Score 25.0 to 13.3, ranking #191 overall.

In the 5 individual benchmarks reported for both models, LFM3-1.7B wins 4; 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 GPT-4.1 mini

  • you want predictable pricing at $0.40/M input and $1.60/M output

Choose LFM3-1.7B

  • overall performance matters — it scores 25.0 and ranks #191 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 4 of 5 exact shared results
  • you want the most recent training data — it shipped Oct 2026
  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

GPT-4.1 mini
OpenAI
LFM3-1.7B
Liquid AI
Core performance indexes
LLM Stats Score
13.3
#279
25.0
#191
Reasoning
13.2
#273
20.8
#216
Coding
-3.8
#288
7.4
#218
Cost, coverage & limits
Benchmark wins
1 of 5
4 of 5
Input price
$0.40 / M
— / M
Output price
$1.60 / M
— / M
Context window
1,047,576
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

3 shared
Index
GPT-4.1 mini
LFM3-1.7B
Math
13.2#247
7.6#285
Tool use
1.6#203
14.3#119
Long context
9.8#81
5.1#112
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

28 reported for GPT-4.1 mini · 20 for LFM3-1.7B

5 shared

GPT-4.1 mini outperforms in 1 benchmarks (GPQA), while LFM3-1.7B is better at 4 benchmarks (Humanity's Last Exam, IFEval, Multi-IF, SWE-Bench Verified).

LFM3-1.7B significantly outperforms across most benchmarks.

Wed Nov 04 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Context Window

Maximum input and output token capacity

Only GPT-4.1 mini specifies input context (1,047,576 tokens). Only GPT-4.1 mini specifies output context (32,768 tokens).

OpenAI
GPT-4.1 mini
Input1,047,576 tokens
Output32,768 tokens
Liquid AI
LFM3-1.7B
Input- tokens
Output- tokens
Wed Nov 04 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

GPT-4.1 mini supports multimodal inputs, whereas LFM3-1.7B does not.

GPT-4.1 mini can handle both text and other forms of data like images, making it suitable for multimodal applications.

GPT-4.1 mini

Text
Images
Audio
Video

LFM3-1.7B

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-4.1 mini is licensed under a proprietary license, while LFM3-1.7B uses LFM Open License v1.0.

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

GPT-4.1 mini

Proprietary

Closed source

LFM3-1.7B

LFM Open License v1.0

Open weights

Release Timeline

When each model was launched

GPT-4.1 mini was released on 2025-04-14, while LFM3-1.7B was released on 2026-10-27.

LFM3-1.7B is 19 months newer than GPT-4.1 mini.

GPT-4.1 mini

Apr 14, 2025

1.6 years ago

LFM3-1.7B

Oct 27, 2026

1 weeks ago

1.5yr newer

Knowledge Cutoff

When training data ends

GPT-4.1 mini has a documented knowledge cutoff of 2024-05-31, while LFM3-1.7B's cutoff date is not specified.

We can confirm GPT-4.1 mini's training data extends to 2024-05-31, but cannot make a direct comparison without LFM3-1.7B's cutoff date.

GPT-4.1 mini

May 2024

LFM3-1.7B

—

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against GPT-4.1 mini and LFM3-1.7B side-by-side, then vote on the output you prefer.

GPT-4.1 mini
✓ Preferred
LFM3-1.7B
Open in Playground

FAQ

Common questions about GPT-4.1 mini vs LFM3-1.7B.

Which is better, GPT-4.1 mini or LFM3-1.7B?

LFM3-1.7B leads the LLM Stats Score 25.0 to 13.3. GPT-4.1 mini is made by OpenAI and LFM3-1.7B is made by Liquid AI. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does GPT-4.1 mini compare to LFM3-1.7B in benchmarks?

GPT-4.1 mini scores CharXiv-D: 88.4%, MMLU: 87.5%, IFEval: 84.1%, MMMLU: 78.5%, MathVista: 73.1%. LFM3-1.7B scores IFEval: 96.7%, Multi-IF: 89.1%, LiveCodeBench v6: 73.5%, IFBench: 73.0%, BFCL-V4: 71.4%.

What are the context window sizes for GPT-4.1 mini and LFM3-1.7B?

GPT-4.1 mini supports 1.0M tokens and LFM3-1.7B supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between GPT-4.1 mini and LFM3-1.7B?

Key differences include LLM Stats Score (13.3 vs 25.0), multimodal support (yes vs no), licensing (Proprietary vs LFM Open License v1.0). See the full comparison above for benchmark-by-benchmark results.

Who makes GPT-4.1 mini and LFM3-1.7B?

GPT-4.1 mini is developed by OpenAI and LFM3-1.7B is developed by Liquid AI.

Related comparisons