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GPT-5.3 Chat vs LFM2.5-VL-3B

Comparing GPT-5.3 Chat and LFM2.5-VL-3B across benchmarks, pricing, and capabilities.

OpenAI · Liquid AI · Updated for 2026

Which is better?

GPT-5.3 Chat and LFM2.5-VL-3B trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.

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

Choose GPT-5.3 Chat

  • you want predictable pricing at $1.75/M input and $14.00/M output

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
Input price
$1.75 / M
— / M
Output price
$14.00 / M
— / M
Context window
128,000
Released
Mar 2026
Aug 2026
License
Proprietary
LFM Open License v1.0

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

GPT-5.3 Chat and LFM2.5-VL-3Bdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Playground indexes and blind preference scores

Context Window

Maximum input and output token capacity

Only GPT-5.3 Chat specifies input context (128,000 tokens). Only GPT-5.3 Chat specifies output context (16,384 tokens).

OpenAI
GPT-5.3 Chat
Input128,000 tokens
Output16,384 tokens
Liquid AI
LFM2.5-VL-3B
Input- tokens
Output- tokens
Wed Aug 26 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both GPT-5.3 Chat and LFM2.5-VL-3B support multimodal inputs.

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

GPT-5.3 Chat

Text
Images
Audio
Video

LFM2.5-VL-3B

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-5.3 Chat 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-5.3 Chat

Proprietary

Closed source

LFM2.5-VL-3B

LFM Open License v1.0

Open weights

Release Timeline

When each model was launched

GPT-5.3 Chat was released on 2026-03-04, while LFM2.5-VL-3B was released on 2026-08-12.

LFM2.5-VL-3B is 5 months newer than GPT-5.3 Chat.

GPT-5.3 Chat

Mar 4, 2026

5 months ago

LFM2.5-VL-3B

Aug 12, 2026

1 weeks ago

5mo newer

Knowledge Cutoff

When training data ends

GPT-5.3 Chat has a documented knowledge cutoff of 2025-08-31, while LFM2.5-VL-3B's cutoff date is not specified.

We can confirm GPT-5.3 Chat's training data extends to 2025-08-31, but cannot make a direct comparison without LFM2.5-VL-3B's cutoff date.

GPT-5.3 Chat

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-5.3 Chat and LFM2.5-VL-3B side-by-side, then vote on the output you prefer.

GPT-5.3 Chat
✓ Preferred
LFM2.5-VL-3B
Open in Playground

FAQ

Common questions about GPT-5.3 Chat vs LFM2.5-VL-3B.

Which is better, GPT-5.3 Chat or LFM2.5-VL-3B?

GPT-5.3 Chat (OpenAI) and LFM2.5-VL-3B (Liquid AI) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does GPT-5.3 Chat compare to LFM2.5-VL-3B in benchmarks?

GPT-5.3 Chat scores HealthBench: 54.1%, HealthBench Hard: 25.9%. 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-5.3 Chat and LFM2.5-VL-3B?

GPT-5.3 Chat supports 128K 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-5.3 Chat 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-5.3 Chat and LFM2.5-VL-3B?

GPT-5.3 Chat is developed by OpenAI and LFM2.5-VL-3B is developed by Liquid AI.