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GPT-4o vs LFM3-VL-2B

GPT-4o and LFM3-VL-2B are closely matched at 13.5 and 15.5 on the LLM Stats Score.

OpenAI · Liquid AI · Updated for 2026

Which is better?

GPT-4o and LFM3-VL-2B are closely matched on the overall LLM Stats Score at 13.5 and 15.5.

In the 8 individual benchmarks reported for both models, LFM3-VL-2B wins 6; 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-4o

  • you want predictable pricing at $2.50/M input and $10.00/M output

Choose LFM3-VL-2B

  • you value its reported benchmark strengths — it wins 6 of 8 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-4o
OpenAI
LFM3-VL-2B
Liquid AI
Core performance indexes
LLM Stats Score
13.5
#278
15.5
#265
Reasoning
15.2
#261
16.2
#252
Cost, coverage & limits
Benchmark wins
2 of 8
6 of 8
Input price
$2.50 / M
— / M
Output price
$10.00 / M
— / M
Context window
128,000
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

3 shared
Index
GPT-4o
LFM3-VL-2B
Math
12.1#255
19.0#187
Vision
8.1#165
11.4#133
Multimodal
11.6#131
12.6#124
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

38 reported for GPT-4o · 41 for LFM3-VL-2B

8 shared

GPT-4o outperforms in 2 benchmarks (MMMU-Pro, VideoMMMU), while LFM3-VL-2B is better at 6 benchmarks (ActivityNet, ChartQA, CharXiv-D, CharXiv-R, DocVQA, ERQA).

LFM3-VL-2B shows notably better performance in the majority of benchmarks.

Mon Nov 02 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-4o specifies input context (128,000 tokens). Only GPT-4o specifies output context (16,384 tokens).

OpenAI
GPT-4o
Input128,000 tokens
Output16,384 tokens
Liquid AI
LFM3-VL-2B
Input- tokens
Output- tokens
Mon Nov 02 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both GPT-4o and LFM3-VL-2B support multimodal inputs.

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

GPT-4o

Text
Images
Audio
Video

LFM3-VL-2B

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-4o 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-4o

Proprietary

Closed source

LFM3-VL-2B

LFM Open License v1.0

Open weights

Release Timeline

When each model was launched

GPT-4o was released on 2024-08-06, while LFM3-VL-2B was released on 2026-10-27.

LFM3-VL-2B is 27 months newer than GPT-4o.

GPT-4o

Aug 6, 2024

2.2 years ago

LFM3-VL-2B

Oct 27, 2026

4 days ago

2.2yr newer

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against GPT-4o and LFM3-VL-2B side-by-side, then vote on the output you prefer.

GPT-4o
✓ Preferred
LFM3-VL-2B
Open in Playground

FAQ

Common questions about GPT-4o vs LFM3-VL-2B.

Which is better, GPT-4o or LFM3-VL-2B?

GPT-4o and LFM3-VL-2B are closely matched on the LLM Stats Score at 13.5 and 15.5. GPT-4o 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-4o compare to LFM3-VL-2B in benchmarks?

GPT-4o scores AI2D: 94.2%, DocVQA: 92.8%, ChartQA: 85.7%, MMLU: 85.7%, CharXiv-D: 85.3%. 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-4o and LFM3-VL-2B?

GPT-4o supports 128K 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-4o and LFM3-VL-2B?

Key differences include LLM Stats Score (13.5 vs 15.5), licensing (Proprietary vs LFM Open License v1.0). See the full comparison above for benchmark-by-benchmark results.

Who makes GPT-4o and LFM3-VL-2B?

GPT-4o is developed by OpenAI and LFM3-VL-2B is developed by Liquid AI.

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