DeepSeek VL2 vs Particle-1
Particle-1 leads the LLM Stats Score 31.9 to 2.4.
DeepSeek · Particle AI · Updated for 2026
Which is better?
Particle-1 leads the overall LLM Stats Score 31.9 to 2.4, ranking #133 overall.
Particle-1 also accepts a larger context window (1,048,576 input tokens), making it the stronger choice for long documents and large codebases.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose DeepSeek VL2
- 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 process long inputs — it offers a 1,048,576 token context window
- you want the most recent training data — it shipped Oct 2026
At a glance
The differences that matter most.
Individual benchmarks
14 reported for DeepSeek VL2 · 3 for Particle-1
DeepSeek VL2 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
Particle-1 accepts 1,048,576 input tokens compared to DeepSeek VL2's 129,280 tokens. Particle-1 can generate longer responses up to 131,072 tokens, while DeepSeek VL2 is limited to 129,280 tokens.
Input capabilities
Documented input modalities across available providers
Both DeepSeek VL2 and Particle-1 support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
DeepSeek VL2
Particle-1
License
Usage and distribution terms
DeepSeek VL2 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
Open weights
Proprietary
Closed source
Release Timeline
When each model was launched
DeepSeek VL2 was released on 2024-12-13, while Particle-1 was released on 2026-10-28.
Particle-1 is 23 months newer than DeepSeek VL2.
Dec 13, 2024
1.9 years ago
Oct 28, 2026
1 days ago
1.9yr newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
DeepSeek VL2 is available from Replicate. Particle-1 is available from Particle AI.
DeepSeek VL2
Particle-1
Outputs Comparison
Judge for yourself.
Run your own prompts against DeepSeek VL2 and Particle-1 side-by-side, then vote on the output you prefer.
FAQ
Common questions about DeepSeek VL2 vs Particle-1.