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GPT-4.1 nano vs LFM3-VL-2B

LFM3-VL-2B leads the LLM Stats Score 15.5 to 1.0.

OpenAI · Liquid AI · Updated for 2026

Which is better?

LFM3-VL-2B leads the overall LLM Stats Score 15.5 to 1.0, ranking #265 overall.

In the 2 individual benchmarks reported for both models, LFM3-VL-2B 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 GPT-4.1 nano

  • you want predictable pricing at $0.10/M input and $0.40/M output

Choose LFM3-VL-2B

  • overall performance matters — it scores 15.5 and ranks #265 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
  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

GPT-4.1 nano
OpenAI
LFM3-VL-2B
Liquid AI
Core performance indexes
LLM Stats Score
1.0
#360
15.5
#265
Reasoning
1.4
#348
16.2
#252
Cost, coverage & limits
Benchmark wins
0 of 2
2 of 2
Input price
$0.10 / M
— / M
Output price
$0.40 / M
— / M
Context window
1,047,576
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

3 shared
Index
GPT-4.1 nano
LFM3-VL-2B
Math
4.8#298
19.0#187
Vision
-2.1#219
11.4#133
Multimodal
0.5#175
12.6#124
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

24 reported for GPT-4.1 nano · 41 for LFM3-VL-2B

2 shared

GPT-4.1 nano outperforms in 0 benchmarks, while LFM3-VL-2B is better at 2 benchmarks (CharXiv-D, CharXiv-R).

LFM3-VL-2B 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 nano specifies input context (1,047,576 tokens). Only GPT-4.1 nano specifies output context (32,768 tokens).

OpenAI
GPT-4.1 nano
Input1,047,576 tokens
Output32,768 tokens
Liquid AI
LFM3-VL-2B
Input- tokens
Output- tokens
Wed Nov 04 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

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

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

GPT-4.1 nano

Text
Images
Audio
Video

LFM3-VL-2B

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-4.1 nano 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 nano

Proprietary

Closed source

LFM3-VL-2B

LFM Open License v1.0

Open weights

Release Timeline

When each model was launched

GPT-4.1 nano 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 nano.

GPT-4.1 nano

Apr 14, 2025

1.6 years ago

LFM3-VL-2B

Oct 27, 2026

1 weeks ago

1.5yr newer

Knowledge Cutoff

When training data ends

GPT-4.1 nano has a documented knowledge cutoff of 2024-05-31, while LFM3-VL-2B's cutoff date is not specified.

We can confirm GPT-4.1 nano's training data extends to 2024-05-31, but cannot make a direct comparison without LFM3-VL-2B's cutoff date.

GPT-4.1 nano

May 2024

LFM3-VL-2B

—

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

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

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

FAQ

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

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

LFM3-VL-2B leads the LLM Stats Score 15.5 to 1.0. GPT-4.1 nano 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 nano compare to LFM3-VL-2B in benchmarks?

GPT-4.1 nano scores MMLU: 80.1%, IFEval: 74.5%, CharXiv-D: 73.9%, MMMLU: 66.9%, Multi-IF: 57.2%. 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 nano and LFM3-VL-2B?

GPT-4.1 nano 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 nano and LFM3-VL-2B?

Key differences include LLM Stats Score (1.0 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 nano and LFM3-VL-2B?

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

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