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Gemini 1.5 Pro vs LFM3-1.7B

LFM3-1.7B leads the LLM Stats Score 25.0 to 11.5.

Google · Liquid AI · Updated for 2026

Which is better?

LFM3-1.7B leads the overall LLM Stats Score 25.0 to 11.5, 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 Gemini 1.5 Pro

  • you want predictable pricing at $2.50/M input and $10.00/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.

Gemini 1.5 Pro
Google
LFM3-1.7B
Liquid AI
Core performance indexes
LLM Stats Score
11.5
#294
25.0
#192
Reasoning
11.2
#290
20.8
#216
Coding
4.2
#242
7.4
#218
Cost, coverage & limits
Benchmark wins
0 of 1
1 of 1
Input price
$2.50 / M
— / M
Output price
$10.00 / M
— / M
Context window
2,097,152
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
Gemini 1.5 Pro
LFM3-1.7B
Math
16.7#218
7.6#285
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

23 reported for Gemini 1.5 Pro · 20 for LFM3-1.7B

1 shared

Gemini 1.5 Pro 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 Gemini 1.5 Pro specifies input context (2,097,152 tokens). Only Gemini 1.5 Pro specifies output context (8,192 tokens).

Google
Gemini 1.5 Pro
Input2,097,152 tokens
Output8,192 tokens
Liquid AI
LFM3-1.7B
Input- tokens
Output- tokens
Mon Nov 02 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Gemini 1.5 Pro supports multimodal inputs, whereas LFM3-1.7B does not.

Gemini 1.5 Pro can handle both text and other forms of data like images, making it suitable for multimodal applications.

Gemini 1.5 Pro

Text
Images
Audio
Video

LFM3-1.7B

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 1.5 Pro 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 1.5 Pro

Proprietary

Closed source

LFM3-1.7B

LFM Open License v1.0

Open weights

Release Timeline

When each model was launched

Gemini 1.5 Pro was released on 2024-05-01, while LFM3-1.7B was released on 2026-10-27.

LFM3-1.7B is 30 months newer than Gemini 1.5 Pro.

Gemini 1.5 Pro

May 1, 2024

2.5 years ago

LFM3-1.7B

Oct 27, 2026

5 days ago

2.5yr newer

Knowledge Cutoff

When training data ends

Gemini 1.5 Pro has a documented knowledge cutoff of 2023-11-01, while LFM3-1.7B's cutoff date is not specified.

We can confirm Gemini 1.5 Pro's training data extends to 2023-11-01, but cannot make a direct comparison without LFM3-1.7B's cutoff date.

Gemini 1.5 Pro

Nov 2023

LFM3-1.7B

—

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against Gemini 1.5 Pro and LFM3-1.7B side-by-side, then vote on the output you prefer.

Gemini 1.5 Pro
✓ Preferred
LFM3-1.7B
Open in Playground

FAQ

Common questions about Gemini 1.5 Pro vs LFM3-1.7B.

Which is better, Gemini 1.5 Pro or LFM3-1.7B?

LFM3-1.7B leads the LLM Stats Score 25.0 to 11.5. Gemini 1.5 Pro 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 1.5 Pro compare to LFM3-1.7B in benchmarks?

Gemini 1.5 Pro scores XSTest: 98.8%, FLEURS: 93.3%, HellaSwag: 93.3%, GSM8k: 90.8%, BIG-Bench Hard: 89.2%. 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 1.5 Pro and LFM3-1.7B?

Gemini 1.5 Pro supports 2.1M 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 Gemini 1.5 Pro and LFM3-1.7B?

Key differences include LLM Stats Score (11.5 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 Gemini 1.5 Pro and LFM3-1.7B?

Gemini 1.5 Pro is developed by Google and LFM3-1.7B is developed by Liquid AI.

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