The AI arena is free today

Open Superagent

LFM3-VL-2B vs Llama 4 Maverick

LFM3-VL-2B and Llama 4 Maverick are closely matched at 15.5 and 14.1 on the LLM Stats Score.

Liquid AI · Meta · Updated for 2026

Which is better?

LFM3-VL-2B and Llama 4 Maverick are closely matched on the overall LLM Stats Score at 15.5 and 14.1.

In the 3 individual benchmarks reported for both models, LFM3-VL-2B wins 2; 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

  • you value its reported benchmark strengths — it wins 2 of 3 exact shared results
  • you want the most recent training data — it shipped Oct 2026

Choose Llama 4 Maverick

  • you want predictable pricing at $0.17/M input and $0.60/M output

At a glance

The differences that matter most.

Core performance indexes
15.5
#265
14.1
#274
16.2
#252
13.7
#269
Cost, coverage & limits
Benchmark wins
2 of 3
1 of 3
Input price
— / M
$0.17 / M
Output price
— / M
$0.60 / M
Context window
—
1,000,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

3 shared
Index
LFM3-VL-2B
Llama 4 Maverick
19.0#187
20.2#175
11.4#133
11.9#129
12.6#124
15.0#109
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

41 reported for LFM3-VL-2B · 13 for Llama 4 Maverick

3 shared

LFM3-VL-2B outperforms in 2 benchmarks (ChartQA, DocVQA), while Llama 4 Maverick is better at 1 benchmark (MMMU-Pro).

LFM3-VL-2B shows notably better performance in the majority of benchmarks.

Tue Nov 03 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

398.1B diff

Llama 4 Maverick has 398.1B more parameters than LFM3-VL-2B, making it 20733.3% larger.

Liquid AI
LFM3-VL-2B
1.9Bparameters
Meta
Llama 4 Maverick
400.0Bparameters
1.9B
LFM3-VL-2B
400.0B
Llama 4 Maverick

Context Window

Maximum input and output token capacity

Only Llama 4 Maverick specifies input context (1,000,000 tokens). Only Llama 4 Maverick specifies output context (1,000,000 tokens).

Liquid AI
LFM3-VL-2B
Input- tokens
Output- tokens
Meta
Llama 4 Maverick
Input1,000,000 tokens
Output1,000,000 tokens
Tue Nov 03 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both LFM3-VL-2B and Llama 4 Maverick 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 4 Maverick

Text
Images
Audio
Video

License

Usage and distribution terms

LFM3-VL-2B is licensed under LFM Open License v1.0, while Llama 4 Maverick uses Llama 4 Community License Agreement.

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 4 Maverick

Llama 4 Community License Agreement

Open weights

Release Timeline

When each model was launched

LFM3-VL-2B was released on 2026-10-27, while Llama 4 Maverick was released on 2025-04-05.

LFM3-VL-2B is 19 months newer than Llama 4 Maverick.

LFM3-VL-2B

Oct 27, 2026

5 days ago

1.6yr newer
Llama 4 Maverick

Apr 5, 2025

1.6 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?

Judge for yourself.

Run your own prompts against LFM3-VL-2B and Llama 4 Maverick side-by-side, then vote on the output you prefer.

LFM3-VL-2B
✓ Preferred
Llama 4 Maverick
Open in Playground

FAQ

Common questions about LFM3-VL-2B vs Llama 4 Maverick.

Which is better, LFM3-VL-2B or Llama 4 Maverick?

LFM3-VL-2B and Llama 4 Maverick are closely matched on the LLM Stats Score at 15.5 and 14.1. LFM3-VL-2B is made by Liquid AI and Llama 4 Maverick 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 4 Maverick in benchmarks?

LFM3-VL-2B scores DocVQA: 96.7%, CountBench: 93.0%, ChartQA: 92.7%, RefCOCO-avg: 90.5%, POPE: 88.7%. Llama 4 Maverick scores DocVQA: 94.4%, MGSM: 92.3%, ChartQA: 90.0%, MMLU: 85.5%, MMLU-Pro: 80.5%.

What are the context window sizes for LFM3-VL-2B and Llama 4 Maverick?

LFM3-VL-2B supports an unknown number of tokens and Llama 4 Maverick supports 1.0M 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 4 Maverick?

Key differences include LLM Stats Score (15.5 vs 14.1), licensing (LFM Open License v1.0 vs Llama 4 Community License Agreement). See the full comparison above for benchmark-by-benchmark results.

Who makes LFM3-VL-2B and Llama 4 Maverick?

LFM3-VL-2B is developed by Liquid AI and Llama 4 Maverick is developed by Meta.