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GPT-5.5 vs LFM3-1.7B

GPT-5.5 leads the LLM Stats Score 47.0 to 25.0.

OpenAI · Liquid AI · Updated for 2026

Which is better?

GPT-5.5 leads the overall LLM Stats Score 47.0 to 25.0, ranking #40 overall.

In the 3 individual benchmarks reported for both models, GPT-5.5 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 GPT-5.5

  • overall performance matters — it scores 47.0 and ranks #40 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

Choose LFM3-1.7B

  • 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.

Core performance indexes
47.0
#40
25.0
#191
46.7
#30
20.8
#216
36.1
#35
7.4
#218
31.3
#45
18.1
#97
Cost, coverage & limits
Benchmark wins
3 of 3
0 of 3
Input price
$5.00 / M
— / M
Output price
$30.00 / M
— / M
Context window
1,050,000
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

3 shared
Index
GPT-5.5
LFM3-1.7B
38.5#25
7.6#285
27.1#32
14.3#119
20.3#25
5.1#112
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

28 reported for GPT-5.5 · 20 for LFM3-1.7B

3 shared

GPT-5.5 outperforms in 3 benchmarks (GPQA, Humanity's Last Exam, MCP Atlas), while LFM3-1.7B is better at 0 benchmarks.

GPT-5.5 significantly outperforms across most benchmarks.

Fri Nov 06 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Context Window

Maximum input and output token capacity

Only GPT-5.5 specifies input context (1,050,000 tokens). Only GPT-5.5 specifies output context (128,000 tokens).

OpenAI
GPT-5.5
Input1,050,000 tokens
Output128,000 tokens
Liquid AI
LFM3-1.7B
Input- tokens
Output- tokens
Fri Nov 06 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

GPT-5.5 supports multimodal inputs, whereas LFM3-1.7B does not.

GPT-5.5 can handle both text and other forms of data like images, making it suitable for multimodal applications.

GPT-5.5

Text
Images
Audio
Video

LFM3-1.7B

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-5.5 is licensed under a proprietary license, while LFM3-1.7B uses LFM Open License v1.0.

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

GPT-5.5

Proprietary

Closed source

LFM3-1.7B

LFM Open License v1.0

Open weights

Release Timeline

When each model was launched

GPT-5.5 was released on 2026-04-23, while LFM3-1.7B was released on 2026-10-27.

LFM3-1.7B is 6 months newer than GPT-5.5.

GPT-5.5

Apr 23, 2026

6 months ago

LFM3-1.7B

Oct 27, 2026

1 weeks ago

6mo newer

Knowledge Cutoff

When training data ends

GPT-5.5 has a documented knowledge cutoff of 2025-12-01, while LFM3-1.7B's cutoff date is not specified.

We can confirm GPT-5.5's training data extends to 2025-12-01, but cannot make a direct comparison without LFM3-1.7B's cutoff date.

GPT-5.5

Dec 2025

LFM3-1.7B

—

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against GPT-5.5 and LFM3-1.7B side-by-side, then vote on the output you prefer.

GPT-5.5
✓ Preferred
LFM3-1.7B
Open in Playground

FAQ

Common questions about GPT-5.5 vs LFM3-1.7B.

Which is better, GPT-5.5 or LFM3-1.7B?

GPT-5.5 leads the LLM Stats Score 47.0 to 25.0. GPT-5.5 is made by OpenAI and LFM3-1.7B 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-5.5 compare to LFM3-1.7B in benchmarks?

GPT-5.5 scores Tau2 Telecom: 98.0%, ARC-AGI: 95.0%, GPQA: 93.6%, ARC-AGI v2: 85.0%, GDPval-MM: 84.9%. LFM3-1.7B scores IFEval: 96.7%, Multi-IF: 89.1%, LiveCodeBench v6: 73.5%, IFBench: 73.0%, BFCL-V4: 71.4%.

What are the context window sizes for GPT-5.5 and LFM3-1.7B?

GPT-5.5 supports 1.1M tokens and LFM3-1.7B 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-5.5 and LFM3-1.7B?

Key differences include LLM Stats Score (47.0 vs 25.0), multimodal support (yes vs no), licensing (Proprietary vs LFM Open License v1.0). See the full comparison above for benchmark-by-benchmark results.

Who makes GPT-5.5 and LFM3-1.7B?

GPT-5.5 is developed by OpenAI and LFM3-1.7B is developed by Liquid AI.