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LFM3-VL-2B vs Particle-1

Particle-1 leads the LLM Stats Score 32.0 to 15.5.

Liquid AI · Particle AI · Updated for 2026

Which is better?

Particle-1 leads the overall LLM Stats Score 32.0 to 15.5, ranking #135 overall.

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

Choose LFM3-VL-2B

  • you need open weights you can self-host or fine-tune

Choose Particle-1

  • overall performance matters — it scores 32.0 and ranks #135 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you want the most recent training data — it shipped Oct 2026

At a glance

The differences that matter most.

LFM3-VL-2B
Liquid AI
Particle-1
Particle AI
Core performance indexes
LLM Stats Score
15.5
#265
32.0
#135
Reasoning
16.2
#252
31.2
#137
Cost, coverage & limits
Benchmark wins
—
—
Input price
— / M
$0.25 / M
Output price
— / M
$1.00 / M
Context window
—
1,048,576

Individual benchmarks

41 reported for LFM3-VL-2B · 3 for Particle-1

No common benchmarks found

LFM3-VL-2B and Particle-1don'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

Context Window

Maximum input and output token capacity

Only Particle-1 specifies input context (1,048,576 tokens). Only Particle-1 specifies output context (131,072 tokens).

Liquid AI
LFM3-VL-2B
Input- tokens
Output- tokens
Particle AI
Particle-1
Input1,048,576 tokens
Output131,072 tokens
Mon Nov 02 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both LFM3-VL-2B and Particle-1 support multimodal inputs.

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

LFM3-VL-2B

Text
Images
Audio
Video

Particle-1

Text
Images
Audio
Video

License

Usage and distribution terms

LFM3-VL-2B is licensed under LFM Open License v1.0, while Particle-1 uses a proprietary 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

Particle-1

Proprietary

Closed source

Release Timeline

When each model was launched

LFM3-VL-2B was released on 2026-10-27, while Particle-1 was released on 2026-10-28.

Particle-1 is 0 month newer than LFM3-VL-2B.

LFM3-VL-2B

Oct 27, 2026

6 days ago

Particle-1

Oct 28, 2026

5 days ago

1d newer

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 Particle-1 side-by-side, then vote on the output you prefer.

LFM3-VL-2B
✓ Preferred
Particle-1
Open in Playground

FAQ

Common questions about LFM3-VL-2B vs Particle-1.

Which is better, LFM3-VL-2B or Particle-1?

Particle-1 leads the LLM Stats Score 32.0 to 15.5. LFM3-VL-2B is made by Liquid AI and Particle-1 is made by Particle AI. 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 Particle-1 in benchmarks?

LFM3-VL-2B scores DocVQA: 96.7%, CountBench: 93.0%, ChartQA: 92.7%, RefCOCO-avg: 90.5%, POPE: 88.7%. Particle-1 scores GPQA: 90.4%, BabyVision: 89.2%, MMLU: 86.1%.

What are the context window sizes for LFM3-VL-2B and Particle-1?

LFM3-VL-2B supports an unknown number of tokens and Particle-1 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 Particle-1?

Key differences include LLM Stats Score (15.5 vs 32.0), licensing (LFM Open License v1.0 vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes LFM3-VL-2B and Particle-1?

LFM3-VL-2B is developed by Liquid AI and Particle-1 is developed by Particle AI.

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