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LFM2.5-VL-3B vs o4-mini

Comparing LFM2.5-VL-3B and o4-mini across benchmarks, pricing, and capabilities.

Liquid AI · OpenAI · Updated for 2026

Which is better?

LFM2.5-VL-3B and o4-mini 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 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

Choose o4-mini

  • you want predictable pricing at $1.10/M input and $4.40/M output

At a glance

The differences that matter most.

LFM2.5-VL-3B
Liquid AI
o4-mini
OpenAI
Benchmark wins
—
—
Input price
— / M
$1.10 / M
Output price
— / M
$4.40 / M
Context window
—
200,000
Released
Aug 2026
Apr 2025
License
LFM Open License v1.0
Proprietary

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

LFM2.5-VL-3B and o4-minidon'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 o4-mini specifies input context (200,000 tokens). Only o4-mini specifies output context (100,000 tokens).

Liquid AI
LFM2.5-VL-3B
Input- tokens
Output- tokens
OpenAI
o4-mini
Input200,000 tokens
Output100,000 tokens
Mon Aug 24 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both LFM2.5-VL-3B and o4-mini support multimodal inputs.

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

LFM2.5-VL-3B

Text
Images
Audio
Video

o4-mini

Text
Images
Audio
Video

License

Usage and distribution terms

LFM2.5-VL-3B is licensed under LFM Open License v1.0, while o4-mini uses a proprietary license.

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

LFM2.5-VL-3B

LFM Open License v1.0

Open weights

o4-mini

Proprietary

Closed source

Release Timeline

When each model was launched

LFM2.5-VL-3B was released on 2026-08-12, while o4-mini was released on 2025-04-16.

LFM2.5-VL-3B is 16 months newer than o4-mini.

LFM2.5-VL-3B

Aug 12, 2026

1 weeks ago

1.3yr newer
o4-mini

Apr 16, 2025

1.4 years ago

Knowledge Cutoff

When training data ends

o4-mini has a documented knowledge cutoff of 2024-05-31, while LFM2.5-VL-3B's cutoff date is not specified.

We can confirm o4-mini's training data extends to 2024-05-31, but cannot make a direct comparison without LFM2.5-VL-3B's cutoff date.

LFM2.5-VL-3B

—

o4-mini

May 2024

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against LFM2.5-VL-3B and o4-mini side-by-side, then vote on the output you prefer.

LFM2.5-VL-3B
✓ Preferred
o4-mini
Open in Playground

FAQ

Common questions about LFM2.5-VL-3B vs o4-mini.

Which is better, LFM2.5-VL-3B or o4-mini?

LFM2.5-VL-3B (Liquid AI) and o4-mini (OpenAI) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does LFM2.5-VL-3B compare to o4-mini in benchmarks?

LFM2.5-VL-3B scores DocVQA: 91.1%, POPE: 88.7%, RefCOCO-avg: 87.9%, TextVQA: 84.3%, OCRBench: 84.2%. o4-mini scores AIME 2024: 93.4%, AIME 2025: 92.7%, MathVista: 84.3%, MMMU: 81.6%, GPQA: 81.4%.

What are the context window sizes for LFM2.5-VL-3B and o4-mini?

LFM2.5-VL-3B supports an unknown number of tokens and o4-mini supports 200K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between LFM2.5-VL-3B and o4-mini?

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

Who makes LFM2.5-VL-3B and o4-mini?

LFM2.5-VL-3B is developed by Liquid AI and o4-mini is developed by OpenAI.

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