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LFM2.5-VL-3B vs Phi-3.5-MoE-instruct

Comparing LFM2.5-VL-3B and Phi-3.5-MoE-instruct across benchmarks, pricing, and capabilities.

Liquid AI · Microsoft · Updated for 2026

Which is better?

LFM2.5-VL-3B and Phi-3.5-MoE-instruct 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 LFM2.5-VL-3B

  • you want the most recent training data — it shipped Aug 2026

Choose Phi-3.5-MoE-instruct

  • you are already invested in the Microsoft ecosystem

At a glance

The differences that matter most.

LFM2.5-VL-3B
Liquid AI
Phi-3.5-MoE-instruct
Microsoft
Benchmark wins
—
—
Input price
— / M
— / M
Output price
— / M
— / M
Context window
—
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Released
Aug 2026
Aug 2024
License
LFM Open License v1.0
MIT

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

LFM2.5-VL-3B and Phi-3.5-MoE-instructdon'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

56.9B diff

Phi-3.5-MoE-instruct has 56.9B more parameters than LFM2.5-VL-3B, making it 1820.9% larger.

Liquid AI
LFM2.5-VL-3B
3.1Bparameters
Microsoft
Phi-3.5-MoE-instruct
60.0Bparameters
3.1B
LFM2.5-VL-3B
60.0B
Phi-3.5-MoE-instruct

Input Capabilities

Supported data types and modalities

LFM2.5-VL-3B supports multimodal inputs, whereas Phi-3.5-MoE-instruct does not.

LFM2.5-VL-3B can handle both text and other forms of data like images, making it suitable for multimodal applications.

LFM2.5-VL-3B

Text
Images
Audio
Video

Phi-3.5-MoE-instruct

Text
Images
Audio
Video

License

Usage and distribution terms

LFM2.5-VL-3B is licensed under LFM Open License v1.0, while Phi-3.5-MoE-instruct uses MIT.

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

LFM2.5-VL-3B

LFM Open License v1.0

Open weights

Phi-3.5-MoE-instruct

MIT

Open weights

Release Timeline

When each model was launched

LFM2.5-VL-3B was released on 2026-08-12, while Phi-3.5-MoE-instruct was released on 2024-08-23.

LFM2.5-VL-3B is 24 months newer than Phi-3.5-MoE-instruct.

LFM2.5-VL-3B

Aug 12, 2026

1 weeks ago

2.0yr newer
Phi-3.5-MoE-instruct

Aug 23, 2024

2.0 years ago

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?Start an Issue discussion→

Judge for yourself.

Run your own prompts against LFM2.5-VL-3B and Phi-3.5-MoE-instruct side-by-side, then vote on the output you prefer.

LFM2.5-VL-3B
✓ Preferred
Phi-3.5-MoE-instruct
Open in Playground

FAQ

Common questions about LFM2.5-VL-3B vs Phi-3.5-MoE-instruct.

Which is better, LFM2.5-VL-3B or Phi-3.5-MoE-instruct?

LFM2.5-VL-3B (Liquid AI) and Phi-3.5-MoE-instruct (Microsoft) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does LFM2.5-VL-3B compare to Phi-3.5-MoE-instruct in benchmarks?

LFM2.5-VL-3B scores DocVQA: 91.1%, POPE: 88.7%, RefCOCO-avg: 87.9%, TextVQA: 84.3%, OCRBench: 84.2%. Phi-3.5-MoE-instruct scores ARC-C: 91.0%, OpenBookQA: 89.6%, GSM8k: 88.7%, PIQA: 88.6%, RULER: 87.1%.

What are the main differences between LFM2.5-VL-3B and Phi-3.5-MoE-instruct?

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

Who makes LFM2.5-VL-3B and Phi-3.5-MoE-instruct?

LFM2.5-VL-3B is developed by Liquid AI and Phi-3.5-MoE-instruct is developed by Microsoft.

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