The AI arena is free today

Open Superagent

GPT-5 vs LFM3-VL-2B

GPT-5 leads the LLM Stats Score 33.2 to 15.5.

OpenAI · Liquid AI · Updated for 2026

Which is better?

GPT-5 leads the overall LLM Stats Score 33.2 to 15.5, ranking #126 overall.

In the 5 individual benchmarks reported for both models, GPT-5 wins 5; 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-5

  • overall performance matters — it scores 33.2 and ranks #126 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 5 of 5 exact shared results

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-5
OpenAI
LFM3-VL-2B
Liquid AI
Core performance indexes
LLM Stats Score
33.2
#126
15.5
#265
Reasoning
33.5
#118
16.2
#252
Cost, coverage & limits
Benchmark wins
5 of 5
0 of 5
Input price
$1.25 / M
— / M
Output price
$10.00 / M
— / M
Context window
400,000
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

3 shared
Index
GPT-5
LFM3-VL-2B
Math
31.4#76
19.0#187
Vision
20.8#87
11.4#133
Multimodal
27.2#52
12.6#124
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

34 reported for GPT-5 · 41 for LFM3-VL-2B

5 shared

GPT-5 outperforms in 5 benchmarks (CharXiv-R, ERQA, MMMU-Pro, VideoMME w sub., VideoMMMU), while LFM3-VL-2B is better at 0 benchmarks.

GPT-5 significantly outperforms across most 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-5 specifies input context (400,000 tokens). Only GPT-5 specifies output context (128,000 tokens).

OpenAI
GPT-5
Input400,000 tokens
Output128,000 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-5 and LFM3-VL-2B support multimodal inputs.

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

GPT-5

Text
Images
Audio
Video

LFM3-VL-2B

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-5 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-5

Proprietary

Closed source

LFM3-VL-2B

LFM Open License v1.0

Open weights

Release Timeline

When each model was launched

GPT-5 was released on 2025-08-07, while LFM3-VL-2B was released on 2026-10-27.

LFM3-VL-2B is 15 months newer than GPT-5.

GPT-5

Aug 7, 2025

1.2 years ago

LFM3-VL-2B

Oct 27, 2026

5 days ago

1.2yr newer

Knowledge Cutoff

When training data ends

GPT-5 has a documented knowledge cutoff of 2024-09-30, while LFM3-VL-2B's cutoff date is not specified.

We can confirm GPT-5's training data extends to 2024-09-30, but cannot make a direct comparison without LFM3-VL-2B's cutoff date.

GPT-5

Sep 2024

LFM3-VL-2B

—

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against GPT-5 and LFM3-VL-2B side-by-side, then vote on the output you prefer.

GPT-5
✓ Preferred
LFM3-VL-2B
Open in Playground

FAQ

Common questions about GPT-5 vs LFM3-VL-2B.

Which is better, GPT-5 or LFM3-VL-2B?

GPT-5 leads the LLM Stats Score 33.2 to 15.5. GPT-5 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-5 compare to LFM3-VL-2B in benchmarks?

GPT-5 scores SWE-Lancer (IC-Diamond subset): 100.0%, COLLIE: 99.0%, Tau2 Telecom: 96.7%, OpenAI-MRCR: 2 needle 128k: 95.2%, AIME 2025: 94.6%. 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-5 and LFM3-VL-2B?

GPT-5 supports 400K 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-5 and LFM3-VL-2B?

Key differences include LLM Stats Score (33.2 vs 15.5), licensing (Proprietary vs LFM Open License v1.0). See the full comparison above for benchmark-by-benchmark results.

Who makes GPT-5 and LFM3-VL-2B?

GPT-5 is developed by OpenAI and LFM3-VL-2B is developed by Liquid AI.

Related comparisons