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DeepSeek VL2 Small vs Particle-1

Particle-1 leads the LLM Stats Score 31.9 to 0.8.

DeepSeek · Particle AI · Updated for 2026

Which is better?

Particle-1 leads the overall LLM Stats Score 31.9 to 0.8, ranking #133 overall.

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

Choose DeepSeek VL2 Small

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

Choose Particle-1

  • overall performance matters — it scores 31.9 and ranks #133 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.

Core performance indexes
0.8
#357
31.9
#133
-4.4
#376
31.2
#135
Cost, coverage & limits
Benchmark wins
—
—
Input price
— / M
$0.25 / M
Output price
— / M
$1.00 / M
Context window
—
1,048,576

Individual benchmarks

14 reported for DeepSeek VL2 Small · 3 for Particle-1

No common benchmarks found

DeepSeek VL2 Small 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).

DeepSeek
DeepSeek VL2 Small
Input- tokens
Output- tokens
Particle AI
Particle-1
Input1,048,576 tokens
Output131,072 tokens
Sat Oct 31 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both DeepSeek VL2 Small and Particle-1 support multimodal inputs.

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

DeepSeek VL2 Small

Text
Images
Audio
Video

Particle-1

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek VL2 Small is licensed under deepseek, while Particle-1 uses a proprietary license.

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

DeepSeek VL2 Small

deepseek

Open weights

Particle-1

Proprietary

Closed source

Release Timeline

When each model was launched

DeepSeek VL2 Small was released on 2024-12-13, while Particle-1 was released on 2026-10-28.

Particle-1 is 23 months newer than DeepSeek VL2 Small.

DeepSeek VL2 Small

Dec 13, 2024

1.9 years ago

Particle-1

Oct 28, 2026

3 days ago

1.9yr 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 DeepSeek VL2 Small and Particle-1 side-by-side, then vote on the output you prefer.

DeepSeek VL2 Small
✓ Preferred
Particle-1
Open in Playground

FAQ

Common questions about DeepSeek VL2 Small vs Particle-1.

Which is better, DeepSeek VL2 Small or Particle-1?

Particle-1 leads the LLM Stats Score 31.9 to 0.8. DeepSeek VL2 Small is made by DeepSeek 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 DeepSeek VL2 Small compare to Particle-1 in benchmarks?

DeepSeek VL2 Small scores DocVQA: 92.3%, ChartQA: 84.5%, OCRBench: 83.4%, TextVQA: 83.4%, MMBench: 80.3%. Particle-1 scores GPQA: 90.4%, BabyVision: 89.2%, MMLU: 86.1%.

What are the context window sizes for DeepSeek VL2 Small and Particle-1?

DeepSeek VL2 Small 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 DeepSeek VL2 Small and Particle-1?

Key differences include LLM Stats Score (0.8 vs 31.9), licensing (deepseek vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek VL2 Small and Particle-1?

DeepSeek VL2 Small is developed by DeepSeek and Particle-1 is developed by Particle AI.