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LFM3-VL-2B vs o4-mini

o4-mini leads the LLM Stats Score 26.8 to 15.5.

Liquid AI · OpenAI · Updated for 2026

Which is better?

o4-mini leads the overall LLM Stats Score 26.8 to 15.5, ranking #177 overall.

In the 1 individual benchmarks reported for both models, o4-mini wins 1; 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 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

Choose o4-mini

  • overall performance matters — it scores 26.8 and ranks #177 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 1 of 1 exact shared results

At a glance

The differences that matter most.

Core performance indexes
15.5
#265
26.8
#177
16.2
#252
26.8
#171
Cost, coverage & limits
Benchmark wins
0 of 1
1 of 1
Input price
— / M
$1.10 / M
Output price
— / M
$4.40 / M
Context window
—
200,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

3 shared
Index
LFM3-VL-2B
o4-mini
19.0#187
27.3#109
11.4#133
15.6#112
12.6#124
21.3#83
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

41 reported for LFM3-VL-2B · 14 for o4-mini

1 shared

LFM3-VL-2B outperforms in 0 benchmarks, while o4-mini is better at 1 benchmark (CharXiv-R).

o4-mini significantly outperforms across most benchmarks.

Sat Nov 07 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground 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
LFM3-VL-2B
Input- tokens
Output- tokens
OpenAI
o4-mini
Input200,000 tokens
Output100,000 tokens
Sat Nov 07 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both LFM3-VL-2B and o4-mini support multimodal inputs.

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

LFM3-VL-2B

Text
Images
Audio
Video

o4-mini

Text
Images
Audio
Video

License

Usage and distribution terms

LFM3-VL-2B 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.

LFM3-VL-2B

LFM Open License v1.0

Open weights

o4-mini

Proprietary

Closed source

Release Timeline

When each model was launched

LFM3-VL-2B was released on 2026-10-27, while o4-mini was released on 2025-04-16.

LFM3-VL-2B is 19 months newer than o4-mini.

LFM3-VL-2B

Oct 27, 2026

1 weeks ago

1.5yr newer
o4-mini

Apr 16, 2025

1.6 years ago

Knowledge Cutoff

When training data ends

o4-mini has a documented knowledge cutoff of 2024-05-31, while LFM3-VL-2B'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 LFM3-VL-2B's cutoff date.

LFM3-VL-2B

—

o4-mini

May 2024

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against LFM3-VL-2B and o4-mini side-by-side, then vote on the output you prefer.

LFM3-VL-2B
✓ Preferred
o4-mini
Open in Playground

FAQ

Common questions about LFM3-VL-2B vs o4-mini.

Which is better, LFM3-VL-2B or o4-mini?

o4-mini leads the LLM Stats Score 26.8 to 15.5. LFM3-VL-2B is made by Liquid AI and o4-mini is made by OpenAI. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does LFM3-VL-2B compare to o4-mini in benchmarks?

LFM3-VL-2B scores DocVQA: 96.7%, CountBench: 93.0%, ChartQA: 92.7%, RefCOCO-avg: 90.5%, POPE: 88.7%. 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 LFM3-VL-2B and o4-mini?

LFM3-VL-2B 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 LFM3-VL-2B and o4-mini?

Key differences include LLM Stats Score (15.5 vs 26.8), licensing (LFM Open License v1.0 vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes LFM3-VL-2B and o4-mini?

LFM3-VL-2B is developed by Liquid AI and o4-mini is developed by OpenAI.