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LFM2.5-VL-3B vs o1-mini

Comparing LFM2.5-VL-3B and o1-mini across benchmarks, pricing, and capabilities.

Liquid AI · OpenAI · Updated for 2026

Which is better?

LFM2.5-VL-3B and o1-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 o1-mini

  • you want predictable pricing at $3.00/M input and $12.00/M output

At a glance

The differences that matter most.

LFM2.5-VL-3B
Liquid AI
o1-mini
OpenAI
Benchmark wins
—
—
Input price
— / M
$3.00 / M
Output price
— / M
$12.00 / M
Context window
—
128,000
Released
Aug 2026
Sep 2024
License
LFM Open License v1.0
Proprietary

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

LFM2.5-VL-3B and o1-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 o1-mini specifies input context (128,000 tokens). Only o1-mini specifies output context (65,536 tokens).

Liquid AI
LFM2.5-VL-3B
Input- tokens
Output- tokens
OpenAI
o1-mini
Input128,000 tokens
Output65,536 tokens
Tue Aug 25 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

LFM2.5-VL-3B supports multimodal inputs, whereas o1-mini does not.

LFM2.5-VL-3B can handle both text and other forms of data like images, making it suitable for multimodal applications.

LFM2.5-VL-3B

Text
Images
Audio
Video

o1-mini

Text
Images
Audio
Video

License

Usage and distribution terms

LFM2.5-VL-3B is licensed under LFM Open License v1.0, while o1-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

o1-mini

Proprietary

Closed source

Release Timeline

When each model was launched

LFM2.5-VL-3B was released on 2026-08-12, while o1-mini was released on 2024-09-12.

LFM2.5-VL-3B is 23 months newer than o1-mini.

LFM2.5-VL-3B

Aug 12, 2026

1 weeks ago

1.9yr newer
o1-mini

Sep 12, 2024

1.9 years ago

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?Start an Issue discussion→

Judge for yourself.

Run your own prompts against LFM2.5-VL-3B and o1-mini side-by-side, then vote on the output you prefer.

LFM2.5-VL-3B
✓ Preferred
o1-mini
Open in Playground

FAQ

Common questions about LFM2.5-VL-3B vs o1-mini.

Which is better, LFM2.5-VL-3B or o1-mini?

LFM2.5-VL-3B (Liquid AI) and o1-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 o1-mini in benchmarks?

LFM2.5-VL-3B scores DocVQA: 91.1%, POPE: 88.7%, RefCOCO-avg: 87.9%, TextVQA: 84.3%, OCRBench: 84.2%. o1-mini scores HumanEval: 92.4%, MATH-500: 90.0%, MMLU: 85.2%, SuperGLUE: 75.0%, GPQA: 60.0%.

What are the context window sizes for LFM2.5-VL-3B and o1-mini?

LFM2.5-VL-3B supports an unknown number of tokens and o1-mini supports 128K 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 o1-mini?

Key differences include multimodal support (yes vs no), 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 o1-mini?

LFM2.5-VL-3B is developed by Liquid AI and o1-mini is developed by OpenAI.

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