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Gemma 3 12B vs LFM3-1.7B

LFM3-1.7B leads the LLM Stats Score 25.0 to 5.2.

Google · Liquid AI · Updated for 2026

Which is better?

LFM3-1.7B leads the overall LLM Stats Score 25.0 to 5.2, ranking #191 overall.

In the 2 individual benchmarks reported for both models, LFM3-1.7B wins 2; 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 Gemma 3 12B

  • you want predictable pricing at $0.05/M input and $0.15/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 2 of 2 exact shared results
  • you want the most recent training data — it shipped Oct 2026

At a glance

The differences that matter most.

Core performance indexes
5.2
#335
25.0
#191
5.6
#329
20.8
#216
2.7
#257
7.4
#218
Cost, coverage & limits
Benchmark wins
0 of 2
2 of 2
Input price
$0.05 / M
— / M
Output price
$0.15 / M
— / M
Context window
131,072
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
Gemma 3 12B
LFM3-1.7B
12.8#251
7.6#285
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

26 reported for Gemma 3 12B · 20 for LFM3-1.7B

2 shared

Gemma 3 12B outperforms in 0 benchmarks, while LFM3-1.7B is better at 2 benchmarks (GPQA, IFEval).

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

Model Size

Parameter count comparison

10.3B diff

Gemma 3 12B has 10.3B more parameters than LFM3-1.7B, making it 593.6% larger.

Google
Gemma 3 12B
12.0Bparameters
Liquid AI
LFM3-1.7B
1.7Bparameters
12.0B
Gemma 3 12B
1.7B
LFM3-1.7B

Context Window

Maximum input and output token capacity

Only Gemma 3 12B specifies input context (131,072 tokens). Only Gemma 3 12B specifies output context (131,072 tokens).

Google
Gemma 3 12B
Input131,072 tokens
Output131,072 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

Gemma 3 12B supports multimodal inputs, whereas LFM3-1.7B does not.

Gemma 3 12B can handle both text and other forms of data like images, making it suitable for multimodal applications.

Gemma 3 12B

Text
Images
Audio
Video

LFM3-1.7B

Text
Images
Audio
Video

License

Usage and distribution terms

Gemma 3 12B is licensed under Gemma, 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.

Gemma 3 12B

Gemma

Open weights

LFM3-1.7B

LFM Open License v1.0

Open weights

Release Timeline

When each model was launched

Gemma 3 12B was released on 2025-03-12, while LFM3-1.7B was released on 2026-10-27.

LFM3-1.7B is 20 months newer than Gemma 3 12B.

Gemma 3 12B

Mar 12, 2025

1.6 years ago

LFM3-1.7B

Oct 27, 2026

1 weeks ago

1.6yr 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 Gemma 3 12B and LFM3-1.7B side-by-side, then vote on the output you prefer.

Gemma 3 12B
✓ Preferred
LFM3-1.7B
Open in Playground

FAQ

Common questions about Gemma 3 12B vs LFM3-1.7B.

Which is better, Gemma 3 12B or LFM3-1.7B?

LFM3-1.7B leads the LLM Stats Score 25.0 to 5.2. Gemma 3 12B 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 Gemma 3 12B compare to LFM3-1.7B in benchmarks?

Gemma 3 12B scores GSM8k: 94.4%, IFEval: 88.9%, DocVQA: 87.1%, BIG-Bench Hard: 85.7%, HumanEval: 85.4%. 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 Gemma 3 12B and LFM3-1.7B?

Gemma 3 12B supports 131K 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 Gemma 3 12B and LFM3-1.7B?

Key differences include LLM Stats Score (5.2 vs 25.0), multimodal support (yes vs no), licensing (Gemma vs LFM Open License v1.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemma 3 12B and LFM3-1.7B?

Gemma 3 12B is developed by Google and LFM3-1.7B is developed by Liquid AI.