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Gemma 3n E4B Instructed vs LFM2.5-VL-3B

Comparing Gemma 3n E4B Instructed and LFM2.5-VL-3B across benchmarks, pricing, and capabilities.

Google · Liquid AI · Updated for 2026

Which is better?

Gemma 3n E4B Instructed and LFM2.5-VL-3B trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.

Based on current benchmark, pricing, and model metadata for 2026.

Choose Gemma 3n E4B Instructed

  • you want predictable pricing at $20.00/M input and $40.00/M output

Choose LFM2.5-VL-3B

  • you want the most recent training data — it shipped Aug 2026
  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

Benchmark wins
Input price
$20.00 / M
— / M
Output price
$40.00 / M
— / M
Context window
32,000
Released
Jun 2025
Aug 2026
License
Proprietary
LFM Open License v1.0

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

Gemma 3n E4B Instructed and LFM2.5-VL-3Bdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Playground indexes and blind preference scores

Model Size

Parameter count comparison

4.9B diff

Gemma 3n E4B Instructed has 4.9B more parameters than LFM2.5-VL-3B, making it 156.1% larger.

Google
Gemma 3n E4B Instructed
8.0Bparameters
Liquid AI
LFM2.5-VL-3B
3.1Bparameters
8.0B
Gemma 3n E4B Instructed
3.1B
LFM2.5-VL-3B

Context Window

Maximum input and output token capacity

Only Gemma 3n E4B Instructed specifies input context (32,000 tokens). Only Gemma 3n E4B Instructed specifies output context (32,000 tokens).

Google
Gemma 3n E4B Instructed
Input32,000 tokens
Output32,000 tokens
Liquid AI
LFM2.5-VL-3B
Input- tokens
Output- tokens
Tue Aug 25 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Gemma 3n E4B Instructed and LFM2.5-VL-3B support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

Gemma 3n E4B Instructed

Text
Images
Audio
Video

LFM2.5-VL-3B

Text
Images
Audio
Video

License

Usage and distribution terms

Gemma 3n E4B Instructed is licensed under a proprietary license, while LFM2.5-VL-3B uses LFM Open License v1.0.

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

Gemma 3n E4B Instructed

Proprietary

Closed source

LFM2.5-VL-3B

LFM Open License v1.0

Open weights

Release Timeline

When each model was launched

Gemma 3n E4B Instructed was released on 2025-06-26, while LFM2.5-VL-3B was released on 2026-08-12.

LFM2.5-VL-3B is 14 months newer than Gemma 3n E4B Instructed.

Gemma 3n E4B Instructed

Jun 26, 2025

1.2 years ago

LFM2.5-VL-3B

Aug 12, 2026

1 weeks ago

1.1yr newer

Knowledge Cutoff

When training data ends

Gemma 3n E4B Instructed has a documented knowledge cutoff of 2024-06-01, while LFM2.5-VL-3B's cutoff date is not specified.

We can confirm Gemma 3n E4B Instructed's training data extends to 2024-06-01, but cannot make a direct comparison without LFM2.5-VL-3B's cutoff date.

Gemma 3n E4B Instructed

Jun 2024

LFM2.5-VL-3B

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Judge for yourself.

Run your own prompts against Gemma 3n E4B Instructed and LFM2.5-VL-3B side-by-side, then vote on the output you prefer.

Gemma 3n E4B Instructed
✓ Preferred
LFM2.5-VL-3B
Open in Playground

FAQ

Common questions about Gemma 3n E4B Instructed vs LFM2.5-VL-3B.

Which is better, Gemma 3n E4B Instructed or LFM2.5-VL-3B?

Gemma 3n E4B Instructed (Google) and LFM2.5-VL-3B (Liquid AI) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does Gemma 3n E4B Instructed compare to LFM2.5-VL-3B in benchmarks?

Gemma 3n E4B Instructed scores HumanEval: 75.0%, MGSM: 67.0%, MMLU: 64.9%, Global-MMLU-Lite: 64.5%, MBPP: 63.6%. LFM2.5-VL-3B scores DocVQA: 91.1%, POPE: 88.7%, RefCOCO-avg: 87.9%, TextVQA: 84.3%, OCRBench: 84.2%.

What are the context window sizes for Gemma 3n E4B Instructed and LFM2.5-VL-3B?

Gemma 3n E4B Instructed supports 32K tokens and LFM2.5-VL-3B 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 3n E4B Instructed and LFM2.5-VL-3B?

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

Who makes Gemma 3n E4B Instructed and LFM2.5-VL-3B?

Gemma 3n E4B Instructed is developed by Google and LFM2.5-VL-3B is developed by Liquid AI.