The AI arena is free today

Open Superagent

LFM2.5-VL-3B vs Llama 3.2 3B Instruct

LFM2.5-VL-3B significantly outperforms across most benchmarks.

Liquid AI · Meta · Updated for 2026

Which is better?

LFM2.5-VL-3B outperforms in 1 benchmarks (IFEval), while Llama 3.2 3B Instruct is better at 0 benchmarks. LFM2.5-VL-3B significantly outperforms across most benchmarks.

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

Choose LFM2.5-VL-3B

  • you want the strongest raw capability — it leads on 1 of 1 shared benchmarks
  • you want the most recent training data — it shipped Aug 2026

Choose Llama 3.2 3B Instruct

  • you want predictable pricing at $0.01/M input and $0.02/M output

At a glance

The differences that matter most.

Benchmark wins
1 of 1
0 of 1
Input price
— / M
$0.01 / M
Output price
— / M
$0.02 / M
Context window
128,000
Released
Aug 2026
Sep 2024
License
LFM Open License v1.0
Llama 3.2 Community License

Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

LFM2.5-VL-3B outperforms in 1 benchmarks (IFEval), while Llama 3.2 3B Instruct is better at 0 benchmarks.

LFM2.5-VL-3B significantly outperforms across most benchmarks.

Tue Aug 25 2026 • llm-stats.com

Arena Performance

Playground indexes and blind preference scores

Model Size

Parameter count comparison

86.5M diff

Llama 3.2 3B Instruct has 0.1B more parameters than LFM2.5-VL-3B, making it 2.8% larger.

Liquid AI
LFM2.5-VL-3B
3.1Bparameters
Meta
Llama 3.2 3B Instruct
3.2Bparameters
3.1B
LFM2.5-VL-3B
3.2B
Llama 3.2 3B Instruct

Context Window

Maximum input and output token capacity

Only Llama 3.2 3B Instruct specifies input context (128,000 tokens). Only Llama 3.2 3B Instruct specifies output context (128,000 tokens).

Liquid AI
LFM2.5-VL-3B
Input- tokens
Output- tokens
Meta
Llama 3.2 3B Instruct
Input128,000 tokens
Output128,000 tokens
Tue Aug 25 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

LFM2.5-VL-3B supports multimodal inputs, whereas Llama 3.2 3B 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

Llama 3.2 3B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

LFM2.5-VL-3B is licensed under LFM Open License v1.0, while Llama 3.2 3B Instruct uses Llama 3.2 Community License.

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

Llama 3.2 3B Instruct

Llama 3.2 Community License

Open weights

Release Timeline

When each model was launched

LFM2.5-VL-3B was released on 2026-08-12, while Llama 3.2 3B Instruct was released on 2024-09-25.

LFM2.5-VL-3B is 23 months newer than Llama 3.2 3B Instruct.

LFM2.5-VL-3B

Aug 12, 2026

1 weeks ago

1.9yr newer
Llama 3.2 3B Instruct

Sep 25, 2024

1.9 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 Llama 3.2 3B Instruct side-by-side, then vote on the output you prefer.

LFM2.5-VL-3B
✓ Preferred
Llama 3.2 3B Instruct
Open in Playground

FAQ

Common questions about LFM2.5-VL-3B vs Llama 3.2 3B Instruct.

Which is better, LFM2.5-VL-3B or Llama 3.2 3B Instruct?

LFM2.5-VL-3B significantly outperforms across most benchmarks. LFM2.5-VL-3B is made by Liquid AI and Llama 3.2 3B Instruct is made by Meta. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does LFM2.5-VL-3B compare to Llama 3.2 3B Instruct in benchmarks?

LFM2.5-VL-3B scores DocVQA: 91.1%, POPE: 88.7%, RefCOCO-avg: 87.9%, TextVQA: 84.3%, OCRBench: 84.2%. Llama 3.2 3B Instruct scores NIH/Multi-needle: 84.7%, ARC-C: 78.6%, GSM8k: 77.7%, IFEval: 77.4%, HellaSwag: 69.8%.

What are the context window sizes for LFM2.5-VL-3B and Llama 3.2 3B Instruct?

LFM2.5-VL-3B supports an unknown number of tokens and Llama 3.2 3B Instruct supports 128K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between LFM2.5-VL-3B and Llama 3.2 3B Instruct?

Key differences include multimodal support (yes vs no), licensing (LFM Open License v1.0 vs Llama 3.2 Community License). See the full comparison above for benchmark-by-benchmark results.

Who makes LFM2.5-VL-3B and Llama 3.2 3B Instruct?

LFM2.5-VL-3B is developed by Liquid AI and Llama 3.2 3B Instruct is developed by Meta.