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LFM3-VL-2B vs Llama 3.2 11B Instruct

LFM3-VL-2B leads the LLM Stats Score 15.5 to -1.8.

Liquid AI · Meta · Updated for 2026

Which is better?

LFM3-VL-2B leads the overall LLM Stats Score 15.5 to -1.8, ranking #265 overall.

In the 3 individual benchmarks reported for both models, LFM3-VL-2B wins 3; this is a narrower head-to-head signal than the composite indexes.

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

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 value its reported benchmark strengths — it wins 3 of 3 exact shared results
  • you want the most recent training data — it shipped Oct 2026

Choose Llama 3.2 11B Instruct

  • you want predictable pricing at $0.05/M input and $0.05/M output

At a glance

The differences that matter most.

LFM3-VL-2B
Liquid AI
Llama 3.2 11B Instruct
Meta
Core performance indexes
LLM Stats Score
15.5
#265
-1.8
#375
Reasoning
16.2
#252
-1.3
#366
Cost, coverage & limits
Benchmark wins
3 of 3
0 of 3
Input price
— / M
$0.05 / M
Output price
— / M
$0.05 / M
Context window
—
128,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

3 shared
Index
LFM3-VL-2B
Llama 3.2 11B Instruct
Math
19.0#187
1.7#318
Vision
11.4#133
-0.4#214
Multimodal
12.6#124
2.0#172
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

41 reported for LFM3-VL-2B · 11 for Llama 3.2 11B Instruct

3 shared

LFM3-VL-2B outperforms in 3 benchmarks (ChartQA, DocVQA, MMMU-Pro), while Llama 3.2 11B Instruct is better at 0 benchmarks.

LFM3-VL-2B significantly outperforms across most benchmarks.

Mon Nov 02 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

8.7B diff

Llama 3.2 11B Instruct has 8.7B more parameters than LFM3-VL-2B, making it 452.1% larger.

Liquid AI
LFM3-VL-2B
1.9Bparameters
Meta
Llama 3.2 11B Instruct
10.6Bparameters
1.9B
LFM3-VL-2B
10.6B
Llama 3.2 11B Instruct

Context Window

Maximum input and output token capacity

Only Llama 3.2 11B Instruct specifies input context (128,000 tokens). Only Llama 3.2 11B Instruct specifies output context (128,000 tokens).

Liquid AI
LFM3-VL-2B
Input- tokens
Output- tokens
Meta
Llama 3.2 11B Instruct
Input128,000 tokens
Output128,000 tokens
Mon Nov 02 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both LFM3-VL-2B and Llama 3.2 11B Instruct support multimodal inputs.

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

LFM3-VL-2B

Text
Images
Audio
Video

Llama 3.2 11B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

LFM3-VL-2B is licensed under LFM Open License v1.0, while Llama 3.2 11B Instruct uses Llama 3.2 Community License.

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

LFM3-VL-2B

LFM Open License v1.0

Open weights

Llama 3.2 11B Instruct

Llama 3.2 Community License

Open weights

Release Timeline

When each model was launched

LFM3-VL-2B was released on 2026-10-27, while Llama 3.2 11B Instruct was released on 2024-09-25.

LFM3-VL-2B is 25 months newer than Llama 3.2 11B Instruct.

LFM3-VL-2B

Oct 27, 2026

4 days ago

2.1yr newer
Llama 3.2 11B Instruct

Sep 25, 2024

2.1 years ago

Knowledge Cutoff

When training data ends

Llama 3.2 11B Instruct has a documented knowledge cutoff of 2023-12-31, while LFM3-VL-2B's cutoff date is not specified.

We can confirm Llama 3.2 11B Instruct's training data extends to 2023-12-31, but cannot make a direct comparison without LFM3-VL-2B's cutoff date.

LFM3-VL-2B

—

Llama 3.2 11B Instruct

Dec 2023

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against LFM3-VL-2B and Llama 3.2 11B Instruct side-by-side, then vote on the output you prefer.

LFM3-VL-2B
✓ Preferred
Llama 3.2 11B Instruct
Open in Playground

FAQ

Common questions about LFM3-VL-2B vs Llama 3.2 11B Instruct.

Which is better, LFM3-VL-2B or Llama 3.2 11B Instruct?

LFM3-VL-2B leads the LLM Stats Score 15.5 to -1.8. LFM3-VL-2B is made by Liquid AI and Llama 3.2 11B Instruct is made by Meta. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does LFM3-VL-2B compare to Llama 3.2 11B Instruct in benchmarks?

LFM3-VL-2B scores DocVQA: 96.7%, CountBench: 93.0%, ChartQA: 92.7%, RefCOCO-avg: 90.5%, POPE: 88.7%. Llama 3.2 11B Instruct scores AI2D: 91.1%, DocVQA: 88.4%, ChartQA: 83.4%, VQAv2 (test): 75.2%, MMLU: 73.0%.

What are the context window sizes for LFM3-VL-2B and Llama 3.2 11B Instruct?

LFM3-VL-2B supports an unknown number of tokens and Llama 3.2 11B 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 LFM3-VL-2B and Llama 3.2 11B Instruct?

Key differences include LLM Stats Score (15.5 vs -1.8), licensing (LFM Open License v1.0 vs Llama 3.2 Community License). See the full comparison above for benchmark-by-benchmark results.

Who makes LFM3-VL-2B and Llama 3.2 11B Instruct?

LFM3-VL-2B is developed by Liquid AI and Llama 3.2 11B Instruct is developed by Meta.

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