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LFM3-VL-2B vs Llama 3.1 405B Instruct

LFM3-VL-2B and Llama 3.1 405B Instruct are closely matched at 15.5 and 14.3 on the LLM Stats Score.

Liquid AI · Meta · Updated for 2026

Which is better?

LFM3-VL-2B and Llama 3.1 405B Instruct are closely matched on the overall LLM Stats Score at 15.5 and 14.3.

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

Choose LFM3-VL-2B

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

Choose Llama 3.1 405B Instruct

  • you want predictable pricing at $0.89/M input and $0.89/M output

At a glance

The differences that matter most.

Core performance indexes
15.5
#265
14.3
#272
16.2
#252
13.3
#272
Cost, coverage & limits
Benchmark wins
—
—
Input price
— / M
$0.89 / M
Output price
— / M
$0.89 / M
Context window
—
128,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
LFM3-VL-2B
Llama 3.1 405B Instruct
19.0#187
19.3#185
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

41 reported for LFM3-VL-2B · 18 for Llama 3.1 405B Instruct

No common benchmarks found

LFM3-VL-2B and Llama 3.1 405B Instructdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

403.1B diff

Llama 3.1 405B Instruct has 403.1B more parameters than LFM3-VL-2B, making it 20993.8% larger.

Liquid AI
LFM3-VL-2B
1.9Bparameters
Meta
Llama 3.1 405B Instruct
405.0Bparameters
1.9B
LFM3-VL-2B
405.0B
Llama 3.1 405B Instruct

Context Window

Maximum input and output token capacity

Only Llama 3.1 405B Instruct specifies input context (128,000 tokens). Only Llama 3.1 405B Instruct specifies output context (128,000 tokens).

Liquid AI
LFM3-VL-2B
Input- tokens
Output- tokens
Meta
Llama 3.1 405B Instruct
Input128,000 tokens
Output128,000 tokens
Tue Nov 03 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

LFM3-VL-2B supports multimodal inputs, whereas Llama 3.1 405B Instruct does not.

LFM3-VL-2B can handle both text and other forms of data like images, making it suitable for multimodal applications.

LFM3-VL-2B

Text
Images
Audio
Video

Llama 3.1 405B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

LFM3-VL-2B is licensed under LFM Open License v1.0, while Llama 3.1 405B Instruct uses Llama 3.1 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 3.1 405B Instruct

Llama 3.1 Community License

Open weights

Release Timeline

When each model was launched

LFM3-VL-2B was released on 2026-10-27, while Llama 3.1 405B Instruct was released on 2024-07-23.

LFM3-VL-2B is 28 months newer than Llama 3.1 405B Instruct.

LFM3-VL-2B

Oct 27, 2026

5 days ago

2.3yr newer
Llama 3.1 405B Instruct

Jul 23, 2024

2.3 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 3.1 405B Instruct side-by-side, then vote on the output you prefer.

LFM3-VL-2B
✓ Preferred
Llama 3.1 405B Instruct
Open in Playground

FAQ

Common questions about LFM3-VL-2B vs Llama 3.1 405B Instruct.

Which is better, LFM3-VL-2B or Llama 3.1 405B Instruct?

LFM3-VL-2B and Llama 3.1 405B Instruct are closely matched on the LLM Stats Score at 15.5 and 14.3. LFM3-VL-2B is made by Liquid AI and Llama 3.1 405B 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 3.1 405B Instruct in benchmarks?

LFM3-VL-2B scores DocVQA: 96.7%, CountBench: 93.0%, ChartQA: 92.7%, RefCOCO-avg: 90.5%, POPE: 88.7%. Llama 3.1 405B Instruct scores ARC-C: 96.9%, GSM8k: 96.8%, API-Bank: 92.0%, Multilingual MGSM (CoT): 91.6%, HumanEval: 89.0%.

What are the context window sizes for LFM3-VL-2B and Llama 3.1 405B Instruct?

LFM3-VL-2B supports an unknown number of tokens and Llama 3.1 405B 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 3.1 405B Instruct?

Key differences include LLM Stats Score (15.5 vs 14.3), multimodal support (yes vs no), licensing (LFM Open License v1.0 vs Llama 3.1 Community License). See the full comparison above for benchmark-by-benchmark results.

Who makes LFM3-VL-2B and Llama 3.1 405B Instruct?

LFM3-VL-2B is developed by Liquid AI and Llama 3.1 405B Instruct is developed by Meta.