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GPT-4.1 vs LFM3-VL-2B

GPT-4.1 and LFM3-VL-2B are closely matched at 17.3 and 15.5 on the LLM Stats Score.

OpenAI · Liquid AI · Updated for 2026

Which is better?

GPT-4.1 and LFM3-VL-2B are closely matched on the overall LLM Stats Score at 17.3 and 15.5.

The models split the 2 individual benchmarks reported for both models evenly.

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

Choose GPT-4.1

  • you want predictable pricing at $2.00/M input and $8.00/M output

Choose LFM3-VL-2B

  • 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
OpenAI
LFM3-VL-2B
Liquid AI
Core performance indexes
LLM Stats Score
17.3
#255
15.5
#265
Reasoning
17.7
#246
16.2
#252
Cost, coverage & limits
Benchmark wins
1 of 2
1 of 2
Input price
$2.00 / M
— / M
Output price
$8.00 / M
— / M
Context window
1,047,576
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

3 shared
Index
GPT-4.1
LFM3-VL-2B
Math
15.9#227
19.0#187
Vision
8.7#161
11.4#133
Multimodal
14.6#113
12.6#124
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

29 reported for GPT-4.1 · 41 for LFM3-VL-2B

2 shared

GPT-4.1 outperforms in 1 benchmarks (CharXiv-D), while LFM3-VL-2B is better at 1 benchmark (CharXiv-R).

Both models are evenly matched across the benchmarks.

Tue Nov 03 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 specifies input context (1,047,576 tokens). Only GPT-4.1 specifies output context (32,768 tokens).

OpenAI
GPT-4.1
Input1,047,576 tokens
Output32,768 tokens
Liquid AI
LFM3-VL-2B
Input- tokens
Output- tokens
Tue Nov 03 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both GPT-4.1 and LFM3-VL-2B support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

GPT-4.1

Text
Images
Audio
Video

LFM3-VL-2B

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-4.1 is licensed under a proprietary license, while LFM3-VL-2B 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

Proprietary

Closed source

LFM3-VL-2B

LFM Open License v1.0

Open weights

Release Timeline

When each model was launched

GPT-4.1 was released on 2025-04-14, while LFM3-VL-2B was released on 2026-10-27.

LFM3-VL-2B is 19 months newer than GPT-4.1.

GPT-4.1

Apr 14, 2025

1.6 years ago

LFM3-VL-2B

Oct 27, 2026

6 days ago

1.5yr newer

Knowledge Cutoff

When training data ends

GPT-4.1 has a documented knowledge cutoff of 2024-06-01, while LFM3-VL-2B's cutoff date is not specified.

We can confirm GPT-4.1's training data extends to 2024-06-01, but cannot make a direct comparison without LFM3-VL-2B's cutoff date.

GPT-4.1

Jun 2024

LFM3-VL-2B

—

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against GPT-4.1 and LFM3-VL-2B side-by-side, then vote on the output you prefer.

GPT-4.1
✓ Preferred
LFM3-VL-2B
Open in Playground

FAQ

Common questions about GPT-4.1 vs LFM3-VL-2B.

Which is better, GPT-4.1 or LFM3-VL-2B?

GPT-4.1 and LFM3-VL-2B are closely matched on the LLM Stats Score at 17.3 and 15.5. GPT-4.1 is made by OpenAI and LFM3-VL-2B 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 compare to LFM3-VL-2B in benchmarks?

GPT-4.1 scores MMLU: 90.2%, CharXiv-D: 87.9%, IFEval: 87.4%, MMMLU: 87.3%, MMMU: 74.8%. LFM3-VL-2B scores DocVQA: 96.7%, CountBench: 93.0%, ChartQA: 92.7%, RefCOCO-avg: 90.5%, POPE: 88.7%.

What are the context window sizes for GPT-4.1 and LFM3-VL-2B?

GPT-4.1 supports 1.0M tokens and LFM3-VL-2B 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 and LFM3-VL-2B?

Key differences include LLM Stats Score (17.3 vs 15.5), licensing (Proprietary vs LFM Open License v1.0). See the full comparison above for benchmark-by-benchmark results.

Who makes GPT-4.1 and LFM3-VL-2B?

GPT-4.1 is developed by OpenAI and LFM3-VL-2B is developed by Liquid AI.

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