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GPT-3.5 Turbo vs LFM3-1.7B

LFM3-1.7B leads the LLM Stats Score 25.0 to -9.8.

OpenAI · Liquid AI · Updated for 2026

Which is better?

LFM3-1.7B leads the overall LLM Stats Score 25.0 to -9.8, ranking #192 overall.

In the 1 individual benchmarks reported for both models, LFM3-1.7B wins 1; 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-3.5 Turbo

  • you want predictable pricing at $0.50/M input and $1.50/M output

Choose LFM3-1.7B

  • overall performance matters — it scores 25.0 and ranks #192 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 1 of 1 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.

GPT-3.5 Turbo
OpenAI
LFM3-1.7B
Liquid AI
Core performance indexes
LLM Stats Score
-9.8
#405
25.0
#192
Reasoning
-9.2
#398
20.8
#216
Coding
-4.6
#294
7.4
#218
Cost, coverage & limits
Benchmark wins
0 of 1
1 of 1
Input price
$0.50 / M
— / M
Output price
$1.50 / M
— / M
Context window
16,385
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
GPT-3.5 Turbo
LFM3-1.7B
Math
-2.4#334
7.6#285
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

8 reported for GPT-3.5 Turbo · 20 for LFM3-1.7B

1 shared

GPT-3.5 Turbo outperforms in 0 benchmarks, while LFM3-1.7B is better at 1 benchmark (GPQA).

LFM3-1.7B significantly outperforms across most benchmarks.

Mon Nov 02 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-3.5 Turbo specifies input context (16,385 tokens). Only GPT-3.5 Turbo specifies output context (4,096 tokens).

OpenAI
GPT-3.5 Turbo
Input16,385 tokens
Output4,096 tokens
Liquid AI
LFM3-1.7B
Input- tokens
Output- tokens
Mon Nov 02 2026 • llm-stats.com

License

Usage and distribution terms

GPT-3.5 Turbo 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-3.5 Turbo

Proprietary

Closed source

LFM3-1.7B

LFM Open License v1.0

Open weights

Release Timeline

When each model was launched

GPT-3.5 Turbo was released on 2023-03-21, while LFM3-1.7B was released on 2026-10-27.

LFM3-1.7B is 44 months newer than GPT-3.5 Turbo.

GPT-3.5 Turbo

Mar 21, 2023

3.6 years ago

LFM3-1.7B

Oct 27, 2026

5 days ago

3.6yr newer

Knowledge Cutoff

When training data ends

GPT-3.5 Turbo has a documented knowledge cutoff of 2021-09-30, while LFM3-1.7B's cutoff date is not specified.

We can confirm GPT-3.5 Turbo's training data extends to 2021-09-30, but cannot make a direct comparison without LFM3-1.7B's cutoff date.

GPT-3.5 Turbo

Sep 2021

LFM3-1.7B

—

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against GPT-3.5 Turbo and LFM3-1.7B side-by-side, then vote on the output you prefer.

GPT-3.5 Turbo
✓ Preferred
LFM3-1.7B
Open in Playground

FAQ

Common questions about GPT-3.5 Turbo vs LFM3-1.7B.

Which is better, GPT-3.5 Turbo or LFM3-1.7B?

LFM3-1.7B leads the LLM Stats Score 25.0 to -9.8. GPT-3.5 Turbo 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-3.5 Turbo compare to LFM3-1.7B in benchmarks?

GPT-3.5 Turbo scores DROP: 70.2%, MMLU: 69.8%, HumanEval: 68.0%, MGSM: 56.3%, MATH: 43.1%. 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-3.5 Turbo and LFM3-1.7B?

GPT-3.5 Turbo supports 16K 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-3.5 Turbo and LFM3-1.7B?

Key differences include LLM Stats Score (-9.8 vs 25.0), licensing (Proprietary vs LFM Open License v1.0). See the full comparison above for benchmark-by-benchmark results.

Who makes GPT-3.5 Turbo and LFM3-1.7B?

GPT-3.5 Turbo is developed by OpenAI and LFM3-1.7B is developed by Liquid AI.

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