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LFM2.5-VL-3B vs Llama 3.2 90B Instruct

Both models are evenly matched across the benchmarks.

Liquid AI · Meta · Updated for 2026

Which is better?

LFM2.5-VL-3B outperforms in 2 benchmarks (DocVQA, TextVQA), while Llama 3.2 90B Instruct is better at 2 benchmarks (ChartQA, MMMU-Pro). Both models are evenly matched across the benchmarks.

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 Llama 3.2 90B Instruct

  • you want predictable pricing at $0.35/M input and $0.40/M output

At a glance

The differences that matter most.

LFM2.5-VL-3B
Liquid AI
Llama 3.2 90B Instruct
Meta
Benchmark wins
2 of 4
2 of 4
Input price
— / M
$0.35 / M
Output price
— / M
$0.40 / M
Context window
—
128,000
Released
Aug 2026
Sep 2024
License
LFM Open License v1.0
Llama 3.2

Performance Benchmarks

Comparative analysis across standard metrics

4 benchmarks

LFM2.5-VL-3B outperforms in 2 benchmarks (DocVQA, TextVQA), while Llama 3.2 90B Instruct is better at 2 benchmarks (ChartQA, MMMU-Pro).

Both models are evenly matched across the benchmarks.

Mon Aug 24 2026 • llm-stats.com

Arena Performance

Playground indexes and blind preference scores

Model Size

Parameter count comparison

86.9B diff

Llama 3.2 90B Instruct has 86.9B more parameters than LFM2.5-VL-3B, making it 2781.4% larger.

Liquid AI
LFM2.5-VL-3B
3.1Bparameters
Meta
Llama 3.2 90B Instruct
90.0Bparameters
3.1B
LFM2.5-VL-3B
90.0B
Llama 3.2 90B Instruct

Context Window

Maximum input and output token capacity

Only Llama 3.2 90B Instruct specifies input context (128,000 tokens). Only Llama 3.2 90B Instruct specifies output context (128,000 tokens).

Liquid AI
LFM2.5-VL-3B
Input- tokens
Output- tokens
Meta
Llama 3.2 90B Instruct
Input128,000 tokens
Output128,000 tokens
Mon Aug 24 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both LFM2.5-VL-3B and Llama 3.2 90B Instruct support multimodal inputs.

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

LFM2.5-VL-3B

Text
Images
Audio
Video

Llama 3.2 90B 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 90B Instruct uses Llama 3.2.

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 90B Instruct

Llama 3.2

Open weights

Release Timeline

When each model was launched

LFM2.5-VL-3B was released on 2026-08-12, while Llama 3.2 90B Instruct was released on 2024-09-25.

LFM2.5-VL-3B is 23 months newer than Llama 3.2 90B Instruct.

LFM2.5-VL-3B

Aug 12, 2026

1 weeks ago

1.9yr newer
Llama 3.2 90B 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 90B Instruct side-by-side, then vote on the output you prefer.

LFM2.5-VL-3B
✓ Preferred
Llama 3.2 90B Instruct
Open in Playground

FAQ

Common questions about LFM2.5-VL-3B vs Llama 3.2 90B Instruct.

Which is better, LFM2.5-VL-3B or Llama 3.2 90B Instruct?

Both models are evenly matched across the benchmarks. LFM2.5-VL-3B is made by Liquid AI and Llama 3.2 90B 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 90B 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 90B Instruct scores AI2D: 92.3%, DocVQA: 90.1%, MGSM: 86.9%, MMLU: 86.0%, ChartQA: 85.5%.

What are the context window sizes for LFM2.5-VL-3B and Llama 3.2 90B Instruct?

LFM2.5-VL-3B supports an unknown number of tokens and Llama 3.2 90B 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 90B Instruct?

Key differences include licensing (LFM Open License v1.0 vs Llama 3.2). See the full comparison above for benchmark-by-benchmark results.

Who makes LFM2.5-VL-3B and Llama 3.2 90B Instruct?

LFM2.5-VL-3B is developed by Liquid AI and Llama 3.2 90B Instruct is developed by Meta.

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