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GPT-4o mini vs LFM3-VL-2B

LFM3-VL-2B leads the LLM Stats Score 15.5 to 3.1.

OpenAI · Liquid AI · Updated for 2026

Which is better?

LFM3-VL-2B leads the overall LLM Stats Score 15.5 to 3.1, ranking #265 overall.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose GPT-4o mini

  • you want predictable pricing at $0.15/M input and $0.60/M output

Choose LFM3-VL-2B

  • overall performance matters — it scores 15.5 and ranks #265 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you want the most recent training data — it shipped Oct 2026
  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

GPT-4o mini
OpenAI
LFM3-VL-2B
Liquid AI
Core performance indexes
LLM Stats Score
3.1
#348
15.5
#265
Reasoning
3.5
#337
16.2
#252
Cost, coverage & limits
Benchmark wins
—
—
Input price
$0.15 / M
— / M
Output price
$0.60 / M
— / M
Context window
128,000
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

3 shared
Index
GPT-4o mini
LFM3-VL-2B
Math
11.3#261
19.0#187
Vision
-0.5#215
11.4#133
Multimodal
2.2#171
12.6#124
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

9 reported for GPT-4o mini · 41 for LFM3-VL-2B

No common benchmarks found

GPT-4o mini and LFM3-VL-2Bdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Human preference

Blind head-to-head votes and playground preference scores

Context Window

Maximum input and output token capacity

Only GPT-4o mini specifies input context (128,000 tokens). Only GPT-4o mini specifies output context (16,384 tokens).

OpenAI
GPT-4o mini
Input128,000 tokens
Output16,384 tokens
Liquid AI
LFM3-VL-2B
Input- tokens
Output- tokens
Tue Nov 03 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both GPT-4o mini and LFM3-VL-2B support multimodal inputs.

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

GPT-4o mini

Text
Images
Audio
Video

LFM3-VL-2B

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-4o mini is licensed under a proprietary license, while LFM3-VL-2B uses LFM Open License v1.0.

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

GPT-4o mini

Proprietary

Closed source

LFM3-VL-2B

LFM Open License v1.0

Open weights

Release Timeline

When each model was launched

GPT-4o mini was released on 2024-07-18, while LFM3-VL-2B was released on 2026-10-27.

LFM3-VL-2B is 28 months newer than GPT-4o mini.

GPT-4o mini

Jul 18, 2024

2.3 years ago

LFM3-VL-2B

Oct 27, 2026

6 days ago

2.3yr newer

Knowledge Cutoff

When training data ends

GPT-4o mini has a documented knowledge cutoff of 2023-10-01, while LFM3-VL-2B's cutoff date is not specified.

We can confirm GPT-4o mini's training data extends to 2023-10-01, but cannot make a direct comparison without LFM3-VL-2B's cutoff date.

GPT-4o mini

Oct 2023

LFM3-VL-2B

—

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against GPT-4o mini and LFM3-VL-2B side-by-side, then vote on the output you prefer.

GPT-4o mini
✓ Preferred
LFM3-VL-2B
Open in Playground

FAQ

Common questions about GPT-4o mini vs LFM3-VL-2B.

Which is better, GPT-4o mini or LFM3-VL-2B?

LFM3-VL-2B leads the LLM Stats Score 15.5 to 3.1. GPT-4o mini is made by OpenAI and LFM3-VL-2B is made by Liquid AI. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does GPT-4o mini compare to LFM3-VL-2B in benchmarks?

GPT-4o mini scores HumanEval: 87.2%, MGSM: 87.0%, MMLU: 82.0%, DROP: 79.7%, MATH: 70.2%. LFM3-VL-2B scores DocVQA: 96.7%, CountBench: 93.0%, ChartQA: 92.7%, RefCOCO-avg: 90.5%, POPE: 88.7%.

What are the context window sizes for GPT-4o mini and LFM3-VL-2B?

GPT-4o mini supports 128K tokens and LFM3-VL-2B 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-4o mini and LFM3-VL-2B?

Key differences include LLM Stats Score (3.1 vs 15.5), licensing (Proprietary vs LFM Open License v1.0). See the full comparison above for benchmark-by-benchmark results.

Who makes GPT-4o mini and LFM3-VL-2B?

GPT-4o mini is developed by OpenAI and LFM3-VL-2B is developed by Liquid AI.

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