Kimi K2 Base vs Particle-1
Particle-1 leads the LLM Stats Score 31.9 to 12.7.
Moonshot AI · Particle AI · Updated for 2026
Which is better?
Particle-1 leads the overall LLM Stats Score 31.9 to 12.7, ranking #133 overall.
The models split the 2 individual benchmarks reported for both models evenly.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose Kimi K2 Base
- 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.
Individual benchmarks
13 reported for Kimi K2 Base · 3 for Particle-1
Kimi K2 Base outperforms in 1 benchmarks (MMLU), while Particle-1 is better at 1 benchmark (GPQA).
Both models are evenly matched across the benchmarks.
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).
Input capabilities
Documented input modalities across available providers
Particle-1 supports multimodal inputs, whereas Kimi K2 Base does not.
Particle-1 can handle both text and other forms of data like images, making it suitable for multimodal applications.
Kimi K2 Base
Particle-1
License
Usage and distribution terms
Kimi K2 Base is licensed under MIT, while Particle-1 uses a proprietary license.
License differences may affect how you can use these models in commercial or open-source projects.
MIT
Open weights
Proprietary
Closed source
Release Timeline
When each model was launched
Kimi K2 Base was released on 2025-07-11, while Particle-1 was released on 2026-10-28.
Particle-1 is 16 months newer than Kimi K2 Base.
Jul 11, 2025
1.3 years ago
Oct 28, 2026
-3 days ago
1.3yr newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Outputs Comparison
Judge for yourself.
Run your own prompts against Kimi K2 Base and Particle-1 side-by-side, then vote on the output you prefer.
FAQ
Common questions about Kimi K2 Base vs Particle-1.