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Gemini 1.0 Pro vs LFM3-VL-2B

LFM3-VL-2B leads the LLM Stats Score 15.5 to -5.8.

Google · Liquid AI · Updated for 2026

Which is better?

LFM3-VL-2B leads the overall LLM Stats Score 15.5 to -5.8, ranking #265 overall.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose Gemini 1.0 Pro

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

Choose LFM3-VL-2B

  • overall performance matters — it scores 15.5 and ranks #265 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • 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 1.0 Pro
Google
LFM3-VL-2B
Liquid AI
Core performance indexes
LLM Stats Score
-5.8
#398
15.5
#265
Reasoning
-8.5
#397
16.2
#252
Cost, coverage & limits
Benchmark wins
—
—
Input price
$0.50 / M
— / M
Output price
$1.50 / M
— / M
Context window
32,760
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

3 shared
Index
Gemini 1.0 Pro
LFM3-VL-2B
Math
-1.8#330
19.0#187
Vision
-8.8#237
11.4#133
Multimodal
-6.4#190
12.6#124
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

9 reported for Gemini 1.0 Pro · 41 for LFM3-VL-2B

No common benchmarks found

Gemini 1.0 Pro and LFM3-VL-2Bdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Human preference

Blind head-to-head votes and playground preference scores

Context Window

Maximum input and output token capacity

Only Gemini 1.0 Pro specifies input context (32,760 tokens). Only Gemini 1.0 Pro specifies output context (8,192 tokens).

Google
Gemini 1.0 Pro
Input32,760 tokens
Output8,192 tokens
Liquid AI
LFM3-VL-2B
Input- tokens
Output- tokens
Tue Nov 03 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

LFM3-VL-2B supports multimodal inputs, whereas Gemini 1.0 Pro does not.

LFM3-VL-2B can handle both text and other forms of data like images, making it suitable for multimodal applications.

Gemini 1.0 Pro

Text
Images
Audio
Video

LFM3-VL-2B

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 1.0 Pro is licensed under a proprietary license, while LFM3-VL-2B uses LFM Open License v1.0.

License differences may affect how you can use these models in commercial or open-source projects.

Gemini 1.0 Pro

Proprietary

Closed source

LFM3-VL-2B

LFM Open License v1.0

Open weights

Release Timeline

When each model was launched

Gemini 1.0 Pro was released on 2024-02-15, while LFM3-VL-2B was released on 2026-10-27.

LFM3-VL-2B is 33 months newer than Gemini 1.0 Pro.

Gemini 1.0 Pro

Feb 15, 2024

2.7 years ago

LFM3-VL-2B

Oct 27, 2026

5 days ago

2.7yr newer

Knowledge Cutoff

When training data ends

Gemini 1.0 Pro has a documented knowledge cutoff of 2024-02-01, while LFM3-VL-2B's cutoff date is not specified.

We can confirm Gemini 1.0 Pro's training data extends to 2024-02-01, but cannot make a direct comparison without LFM3-VL-2B's cutoff date.

Gemini 1.0 Pro

Feb 2024

LFM3-VL-2B

—

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against Gemini 1.0 Pro and LFM3-VL-2B side-by-side, then vote on the output you prefer.

Gemini 1.0 Pro
✓ Preferred
LFM3-VL-2B
Open in Playground

FAQ

Common questions about Gemini 1.0 Pro vs LFM3-VL-2B.

Which is better, Gemini 1.0 Pro or LFM3-VL-2B?

LFM3-VL-2B leads the LLM Stats Score 15.5 to -5.8. Gemini 1.0 Pro is made by Google and LFM3-VL-2B 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 1.0 Pro compare to LFM3-VL-2B in benchmarks?

Gemini 1.0 Pro scores FLEURS: 93.6%, BIG-Bench: 75.0%, MMLU: 71.8%, WMT23: 71.7%, EgoSchema: 55.7%. LFM3-VL-2B scores DocVQA: 96.7%, CountBench: 93.0%, ChartQA: 92.7%, RefCOCO-avg: 90.5%, POPE: 88.7%.

What are the context window sizes for Gemini 1.0 Pro and LFM3-VL-2B?

Gemini 1.0 Pro supports 33K tokens and LFM3-VL-2B 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 1.0 Pro and LFM3-VL-2B?

Key differences include LLM Stats Score (-5.8 vs 15.5), multimodal support (no vs yes), licensing (Proprietary vs LFM Open License v1.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 1.0 Pro and LFM3-VL-2B?

Gemini 1.0 Pro is developed by Google and LFM3-VL-2B is developed by Liquid AI.

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