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LFM2.5-VL-3B vs Llama 3.1 405B Instruct

Llama 3.1 405B Instruct significantly outperforms across most benchmarks.

Liquid AI · Meta · Updated for 2026

Which is better?

LFM2.5-VL-3B outperforms in 0 benchmarks, while Llama 3.1 405B Instruct is better at 1 benchmark (IFEval). Llama 3.1 405B Instruct significantly outperforms across most 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 3.1 405B Instruct

  • you want the strongest raw capability — it leads on 1 of 1 shared benchmarks

At a glance

The differences that matter most.

Benchmark wins
0 of 1
1 of 1
Input price
— / M
$0.89 / M
Output price
— / M
$0.89 / M
Context window
128,000
Released
Aug 2026
Jul 2024
License
LFM Open License v1.0
Llama 3.1 Community License

Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

LFM2.5-VL-3B outperforms in 0 benchmarks, while Llama 3.1 405B Instruct is better at 1 benchmark (IFEval).

Llama 3.1 405B Instruct 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

401.9B diff

Llama 3.1 405B Instruct has 401.9B more parameters than LFM2.5-VL-3B, making it 12866.3% larger.

Liquid AI
LFM2.5-VL-3B
3.1Bparameters
Meta
Llama 3.1 405B Instruct
405.0Bparameters
3.1B
LFM2.5-VL-3B
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
LFM2.5-VL-3B
Input- tokens
Output- tokens
Meta
Llama 3.1 405B 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 3.1 405B 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 3.1 405B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

LFM2.5-VL-3B is licensed under LFM Open License v1.0, while Llama 3.1 405B Instruct uses Llama 3.1 Community License.

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

LFM2.5-VL-3B

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

LFM2.5-VL-3B was released on 2026-08-12, while Llama 3.1 405B Instruct was released on 2024-07-23.

LFM2.5-VL-3B is 25 months newer than Llama 3.1 405B Instruct.

LFM2.5-VL-3B

Aug 12, 2026

1 weeks ago

2.1yr newer
Llama 3.1 405B Instruct

Jul 23, 2024

2.1 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 3.1 405B Instruct side-by-side, then vote on the output you prefer.

LFM2.5-VL-3B
✓ Preferred
Llama 3.1 405B Instruct
Open in Playground

FAQ

Common questions about LFM2.5-VL-3B vs Llama 3.1 405B Instruct.

Which is better, LFM2.5-VL-3B or Llama 3.1 405B Instruct?

Llama 3.1 405B Instruct significantly outperforms across most benchmarks. LFM2.5-VL-3B 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 benchmark scores, pricing, and capabilities above.

How does LFM2.5-VL-3B compare to Llama 3.1 405B 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 3.1 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 LFM2.5-VL-3B and Llama 3.1 405B Instruct?

LFM2.5-VL-3B 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 LFM2.5-VL-3B and Llama 3.1 405B Instruct?

Key differences include 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 LFM2.5-VL-3B and Llama 3.1 405B Instruct?

LFM2.5-VL-3B is developed by Liquid AI and Llama 3.1 405B Instruct is developed by Meta.