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Gemini 2.0 Flash-Lite vs LFM3-1.7B

LFM3-1.7B leads the LLM Stats Score 25.0 to 11.8.

Google · Liquid AI · Updated for 2026

Which is better?

LFM3-1.7B leads the overall LLM Stats Score 25.0 to 11.8, ranking #191 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 Gemini 2.0 Flash-Lite

  • you want predictable pricing at $0.07/M input and $0.30/M output

Choose LFM3-1.7B

  • overall performance matters — it scores 25.0 and ranks #191 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.

Gemini 2.0 Flash-Lite
Google
LFM3-1.7B
Liquid AI
Core performance indexes
LLM Stats Score
11.8
#291
25.0
#191
Reasoning
11.9
#283
20.8
#216
Cost, coverage & limits
Benchmark wins
0 of 1
1 of 1
Input price
$0.07 / M
— / M
Output price
$0.30 / M
— / M
Context window
1,048,576
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

2 shared
Index
Gemini 2.0 Flash-Lite
LFM3-1.7B
Math
18.1#201
7.6#285
Long context
-2.1#131
5.1#112
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

13 reported for Gemini 2.0 Flash-Lite · 20 for LFM3-1.7B

1 shared

Gemini 2.0 Flash-Lite outperforms in 0 benchmarks, while LFM3-1.7B is better at 1 benchmark (GPQA).

LFM3-1.7B significantly outperforms across most benchmarks.

Wed Nov 04 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Context Window

Maximum input and output token capacity

Only Gemini 2.0 Flash-Lite specifies input context (1,048,576 tokens). Only Gemini 2.0 Flash-Lite specifies output context (8,192 tokens).

Google
Gemini 2.0 Flash-Lite
Input1,048,576 tokens
Output8,192 tokens
Liquid AI
LFM3-1.7B
Input- tokens
Output- tokens
Wed Nov 04 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Gemini 2.0 Flash-Lite supports multimodal inputs, whereas LFM3-1.7B does not.

Gemini 2.0 Flash-Lite can handle both text and other forms of data like images, making it suitable for multimodal applications.

Gemini 2.0 Flash-Lite

Text
Images
Audio
Video

LFM3-1.7B

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 2.0 Flash-Lite 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.

Gemini 2.0 Flash-Lite

Proprietary

Closed source

LFM3-1.7B

LFM Open License v1.0

Open weights

Release Timeline

When each model was launched

Gemini 2.0 Flash-Lite was released on 2025-02-05, while LFM3-1.7B was released on 2026-10-27.

LFM3-1.7B is 21 months newer than Gemini 2.0 Flash-Lite.

Gemini 2.0 Flash-Lite

Feb 5, 2025

1.7 years ago

LFM3-1.7B

Oct 27, 2026

1 weeks ago

1.7yr newer

Knowledge Cutoff

When training data ends

Gemini 2.0 Flash-Lite has a documented knowledge cutoff of 2024-06-01, while LFM3-1.7B's cutoff date is not specified.

We can confirm Gemini 2.0 Flash-Lite's training data extends to 2024-06-01, but cannot make a direct comparison without LFM3-1.7B's cutoff date.

Gemini 2.0 Flash-Lite

Jun 2024

LFM3-1.7B

—

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against Gemini 2.0 Flash-Lite and LFM3-1.7B side-by-side, then vote on the output you prefer.

Gemini 2.0 Flash-Lite
✓ Preferred
LFM3-1.7B
Open in Playground

FAQ

Common questions about Gemini 2.0 Flash-Lite vs LFM3-1.7B.

Which is better, Gemini 2.0 Flash-Lite or LFM3-1.7B?

LFM3-1.7B leads the LLM Stats Score 25.0 to 11.8. Gemini 2.0 Flash-Lite is made by Google 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 Gemini 2.0 Flash-Lite compare to LFM3-1.7B in benchmarks?

Gemini 2.0 Flash-Lite scores MATH: 86.8%, FACTS Grounding: 83.6%, Global-MMLU-Lite: 78.2%, MMLU-Pro: 71.6%, MMMU: 68.0%. 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 Gemini 2.0 Flash-Lite and LFM3-1.7B?

Gemini 2.0 Flash-Lite supports 1.0M 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 Gemini 2.0 Flash-Lite and LFM3-1.7B?

Key differences include LLM Stats Score (11.8 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 Gemini 2.0 Flash-Lite and LFM3-1.7B?

Gemini 2.0 Flash-Lite is developed by Google and LFM3-1.7B is developed by Liquid AI.

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