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GPT-5.2 vs LFM2.5-VL-3B

GPT-5.2 significantly outperforms across most benchmarks.

OpenAI · Liquid AI · Updated for 2026

Which is better?

GPT-5.2 outperforms in 1 benchmarks (MMMU-Pro), while LFM2.5-VL-3B is better at 0 benchmarks. GPT-5.2 significantly outperforms across most benchmarks.

Based on current benchmark, pricing, and model metadata for 2026.

Choose GPT-5.2

  • you want the strongest raw capability — it leads on 1 of 1 shared benchmarks

Choose LFM2.5-VL-3B

  • you want the most recent training data — it shipped Aug 2026
  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

Benchmark wins
1 of 1
0 of 1
Input price
$1.75 / M
— / M
Output price
$14.00 / M
— / M
Context window
400,000
Released
Dec 2025
Aug 2026
License
Proprietary
LFM Open License v1.0

Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

GPT-5.2 outperforms in 1 benchmarks (MMMU-Pro), while LFM2.5-VL-3B is better at 0 benchmarks.

GPT-5.2 significantly outperforms across most benchmarks.

Tue Aug 25 2026 • llm-stats.com

Arena Performance

Playground indexes and blind preference scores

Context Window

Maximum input and output token capacity

Only GPT-5.2 specifies input context (400,000 tokens). Only GPT-5.2 specifies output context (128,000 tokens).

OpenAI
GPT-5.2
Input400,000 tokens
Output128,000 tokens
Liquid AI
LFM2.5-VL-3B
Input- tokens
Output- tokens
Tue Aug 25 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both GPT-5.2 and LFM2.5-VL-3B support multimodal inputs.

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

GPT-5.2

Text
Images
Audio
Video

LFM2.5-VL-3B

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-5.2 is licensed under a proprietary license, while LFM2.5-VL-3B uses LFM Open License v1.0.

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

GPT-5.2

Proprietary

Closed source

LFM2.5-VL-3B

LFM Open License v1.0

Open weights

Release Timeline

When each model was launched

GPT-5.2 was released on 2025-12-11, while LFM2.5-VL-3B was released on 2026-08-12.

LFM2.5-VL-3B is 8 months newer than GPT-5.2.

GPT-5.2

Dec 11, 2025

8 months ago

LFM2.5-VL-3B

Aug 12, 2026

1 weeks ago

8mo newer

Knowledge Cutoff

When training data ends

GPT-5.2 has a documented knowledge cutoff of 2025-08-25, while LFM2.5-VL-3B's cutoff date is not specified.

We can confirm GPT-5.2's training data extends to 2025-08-25, but cannot make a direct comparison without LFM2.5-VL-3B's cutoff date.

GPT-5.2

Aug 2025

LFM2.5-VL-3B

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Judge for yourself.

Run your own prompts against GPT-5.2 and LFM2.5-VL-3B side-by-side, then vote on the output you prefer.

GPT-5.2
✓ Preferred
LFM2.5-VL-3B
Open in Playground

FAQ

Common questions about GPT-5.2 vs LFM2.5-VL-3B.

Which is better, GPT-5.2 or LFM2.5-VL-3B?

GPT-5.2 significantly outperforms across most benchmarks. GPT-5.2 is made by OpenAI and LFM2.5-VL-3B is made by Liquid AI. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does GPT-5.2 compare to LFM2.5-VL-3B in benchmarks?

GPT-5.2 scores AIME 2025: 100.0%, HMMT 2025: 99.4%, Tau2 Telecom: 98.7%, Graphwalks BFS <128k: 94.0%, GPQA: 92.4%. LFM2.5-VL-3B scores DocVQA: 91.1%, POPE: 88.7%, RefCOCO-avg: 87.9%, TextVQA: 84.3%, OCRBench: 84.2%.

What are the context window sizes for GPT-5.2 and LFM2.5-VL-3B?

GPT-5.2 supports 400K tokens and LFM2.5-VL-3B 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-5.2 and LFM2.5-VL-3B?

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

Who makes GPT-5.2 and LFM2.5-VL-3B?

GPT-5.2 is developed by OpenAI and LFM2.5-VL-3B is developed by Liquid AI.