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GPT-4.5 vs LFM3-1.7B

LFM3-1.7B leads the LLM Stats Score 25.0 to 19.5.

OpenAI · Liquid AI · Updated for 2026

Which is better?

LFM3-1.7B leads the overall LLM Stats Score 25.0 to 19.5, ranking #192 overall.

In the 4 individual benchmarks reported for both models, LFM3-1.7B 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-4.5

  • you want predictable pricing at $75.00/M input and $150.00/M output

Choose LFM3-1.7B

  • overall performance matters — it scores 25.0 and ranks #192 on LLM Stats
  • you value its reported benchmark strengths — it wins 3 of 4 exact shared results
  • 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
19.5
#236
25.0
#192
19.7
#226
20.8
#216
5.4
#232
7.4
#218
Cost, coverage & limits
Benchmark wins
1 of 4
3 of 4
Input price
$75.00 / M
— / M
Output price
$150.00 / M
— / M
Context window
128,000
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

3 shared
Index
GPT-4.5
LFM3-1.7B
20.6#171
7.6#285
10.4#148
14.3#119
9.4#84
5.1#112
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

26 reported for GPT-4.5 · 20 for LFM3-1.7B

4 shared

GPT-4.5 outperforms in 1 benchmarks (GPQA), while LFM3-1.7B is better at 3 benchmarks (IFEval, Multi-IF, SWE-Bench Verified).

LFM3-1.7B shows notably better performance in the majority of 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 GPT-4.5 specifies input context (128,000 tokens). Only GPT-4.5 specifies output context (4,096 tokens).

OpenAI
GPT-4.5
Input128,000 tokens
Output4,096 tokens
Liquid AI
LFM3-1.7B
Input- tokens
Output- tokens
Tue Nov 03 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

GPT-4.5 supports multimodal inputs, whereas LFM3-1.7B does not.

GPT-4.5 can handle both text and other forms of data like images, making it suitable for multimodal applications.

GPT-4.5

Text
Images
Audio
Video

LFM3-1.7B

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-4.5 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-4.5

Proprietary

Closed source

LFM3-1.7B

LFM Open License v1.0

Open weights

Release Timeline

When each model was launched

GPT-4.5 was released on 2025-02-27, while LFM3-1.7B was released on 2026-10-27.

LFM3-1.7B is 20 months newer than GPT-4.5.

GPT-4.5

Feb 27, 2025

1.7 years ago

LFM3-1.7B

Oct 27, 2026

5 days ago

1.7yr newer

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 GPT-4.5 and LFM3-1.7B side-by-side, then vote on the output you prefer.

GPT-4.5
✓ Preferred
LFM3-1.7B
Open in Playground

FAQ

Common questions about GPT-4.5 vs LFM3-1.7B.

Which is better, GPT-4.5 or LFM3-1.7B?

LFM3-1.7B leads the LLM Stats Score 25.0 to 19.5. GPT-4.5 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-4.5 compare to LFM3-1.7B in benchmarks?

GPT-4.5 scores GSM8k: 97.0%, MMLU: 90.8%, CharXiv-D: 90.0%, IFEval: 88.2%, HumanEval: 88.0%. 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-4.5 and LFM3-1.7B?

GPT-4.5 supports 128K 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-4.5 and LFM3-1.7B?

Key differences include LLM Stats Score (19.5 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-4.5 and LFM3-1.7B?

GPT-4.5 is developed by OpenAI and LFM3-1.7B is developed by Liquid AI.