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LFM3-VL-2B vs o1

o1 leads the LLM Stats Score 20.4 to 15.5.

Liquid AI · OpenAI · Updated for 2026

Which is better?

o1 leads the overall LLM Stats Score 20.4 to 15.5, ranking #230 overall.

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 o1

  • overall performance matters — it scores 20.4 and ranks #230 on LLM Stats

At a glance

The differences that matter most.

LFM3-VL-2B
Liquid AI
o1
OpenAI
Core performance indexes
LLM Stats Score
15.5
#265
20.4
#230
Reasoning
16.2
#252
20.7
#218
Cost, coverage & limits
Benchmark wins
—
—
Input price
— / M
$15.00 / M
Output price
— / M
$60.00 / M
Context window
—
200,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

3 shared
Index
LFM3-VL-2B
o1
Math
19.0#187
23.9#134
Vision
11.4#133
12.3#124
Multimodal
12.6#124
15.9#104
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

41 reported for LFM3-VL-2B · 19 for o1

No common benchmarks found

LFM3-VL-2B and o1don'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 o1 specifies input context (200,000 tokens). Only o1 specifies output context (100,000 tokens).

Liquid AI
LFM3-VL-2B
Input- tokens
Output- tokens
OpenAI
o1
Input200,000 tokens
Output100,000 tokens
Tue Nov 03 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

LFM3-VL-2B supports multimodal inputs, whereas o1 does not.

LFM3-VL-2B can handle both text and other forms of data like images, making it suitable for multimodal applications.

LFM3-VL-2B

Text
Images
Audio
Video

o1

Text
Images
Audio
Video

License

Usage and distribution terms

LFM3-VL-2B is licensed under LFM Open License v1.0, while o1 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

o1

Proprietary

Closed source

Release Timeline

When each model was launched

LFM3-VL-2B was released on 2026-10-27, while o1 was released on 2024-12-17.

LFM3-VL-2B is 23 months newer than o1.

LFM3-VL-2B

Oct 27, 2026

6 days ago

1.9yr newer
o1

Dec 17, 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?

Judge for yourself.

Run your own prompts against LFM3-VL-2B and o1 side-by-side, then vote on the output you prefer.

LFM3-VL-2B
✓ Preferred
o1
Open in Playground

FAQ

Common questions about LFM3-VL-2B vs o1.

Which is better, LFM3-VL-2B or o1?

o1 leads the LLM Stats Score 20.4 to 15.5. LFM3-VL-2B is made by Liquid AI and o1 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 o1 in benchmarks?

LFM3-VL-2B scores DocVQA: 96.7%, CountBench: 93.0%, ChartQA: 92.7%, RefCOCO-avg: 90.5%, POPE: 88.7%. o1 scores GSM8k: 97.1%, MATH: 96.4%, GPQA Physics: 92.8%, MMLU: 91.8%, MGSM: 89.3%.

What are the context window sizes for LFM3-VL-2B and o1?

LFM3-VL-2B supports an unknown number of tokens and o1 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 o1?

Key differences include LLM Stats Score (15.5 vs 20.4), 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 LFM3-VL-2B and o1?

LFM3-VL-2B is developed by Liquid AI and o1 is developed by OpenAI.

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