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LFM3-1.7B vs o3

o3 leads the LLM Stats Score 30.4 to 25.0.

Liquid AI · OpenAI · Updated for 2026

Which is better?

o3 leads the overall LLM Stats Score 30.4 to 25.0, ranking #145 overall.

In the 3 individual benchmarks reported for both models, o3 wins 3; 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 LFM3-1.7B

  • your work emphasizes agents — 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

Choose o3

  • overall performance matters — it scores 30.4 and ranks #145 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 3 of 3 exact shared results

At a glance

The differences that matter most.

Core performance indexes
25.0
#192
30.4
#145
20.8
#216
30.1
#147
7.4
#218
15.1
#157
18.1
#97
2.8
#197
Cost, coverage & limits
Benchmark wins
0 of 3
3 of 3
Input price
— / M
$2.00 / M
Output price
— / M
$8.00 / M
Context window
—
200,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

2 shared
Index
LFM3-1.7B
o3
7.6#285
25.2#121
14.3#119
10.1#152
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

20 reported for LFM3-1.7B · 22 for o3

3 shared

LFM3-1.7B outperforms in 0 benchmarks, while o3 is better at 3 benchmarks (GPQA, Humanity's Last Exam, SWE-Bench Verified).

o3 significantly outperforms across most benchmarks.

Tue Nov 03 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Context Window

Maximum input and output token capacity

Only o3 specifies input context (200,000 tokens). Only o3 specifies output context (100,000 tokens).

Liquid AI
LFM3-1.7B
Input- tokens
Output- tokens
OpenAI
o3
Input200,000 tokens
Output100,000 tokens
Tue Nov 03 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

o3 supports multimodal inputs, whereas LFM3-1.7B does not.

o3 can handle both text and other forms of data like images, making it suitable for multimodal applications.

LFM3-1.7B

Text
Images
Audio
Video

o3

Text
Images
Audio
Video

License

Usage and distribution terms

LFM3-1.7B is licensed under LFM Open License v1.0, while o3 uses a proprietary license.

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

LFM3-1.7B

LFM Open License v1.0

Open weights

o3

Proprietary

Closed source

Release Timeline

When each model was launched

LFM3-1.7B was released on 2026-10-27, while o3 was released on 2025-04-16.

LFM3-1.7B is 19 months newer than o3.

LFM3-1.7B

Oct 27, 2026

4 days ago

1.5yr newer
o3

Apr 16, 2025

1.5 years ago

Knowledge Cutoff

When training data ends

o3 has a documented knowledge cutoff of 2024-05-31, while LFM3-1.7B's cutoff date is not specified.

We can confirm o3's training data extends to 2024-05-31, but cannot make a direct comparison without LFM3-1.7B's cutoff date.

LFM3-1.7B

—

o3

May 2024

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against LFM3-1.7B and o3 side-by-side, then vote on the output you prefer.

LFM3-1.7B
✓ Preferred
o3
Open in Playground

FAQ

Common questions about LFM3-1.7B vs o3.

Which is better, LFM3-1.7B or o3?

o3 leads the LLM Stats Score 30.4 to 25.0. LFM3-1.7B is made by Liquid AI and o3 is made by OpenAI. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does LFM3-1.7B compare to o3 in benchmarks?

LFM3-1.7B scores IFEval: 96.7%, Multi-IF: 89.1%, LiveCodeBench v6: 73.5%, IFBench: 73.0%, BFCL-V4: 71.4%. o3 scores COLLIE: 98.4%, AIME 2024: 91.6%, ARC-AGI: 88.0%, MathVista: 86.8%, AIME 2025: 86.4%.

What are the context window sizes for LFM3-1.7B and o3?

LFM3-1.7B supports an unknown number of tokens and o3 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 LFM3-1.7B and o3?

Key differences include LLM Stats Score (25.0 vs 30.4), multimodal support (no vs yes), licensing (LFM Open License v1.0 vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes LFM3-1.7B and o3?

LFM3-1.7B is developed by Liquid AI and o3 is developed by OpenAI.