Kimi-k1.5 vs Particle-1
Particle-1 leads the LLM Stats Score 31.9 to 16.7.
Moonshot AI · Particle AI · Updated for 2026
Which is better?
Particle-1 leads the overall LLM Stats Score 31.9 to 16.7, ranking #133 overall.
In the 1 individual benchmarks reported for both models, Kimi-k1.5 wins 1; this is a narrower head-to-head signal than the composite indexes.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose Kimi-k1.5
- you value its reported benchmark strengths — it wins 1 of 1 exact shared results
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
9 reported for Kimi-k1.5 · 3 for Particle-1
Kimi-k1.5 outperforms in 1 benchmarks (MMLU), while Particle-1 is better at 0 benchmarks.
Kimi-k1.5 significantly outperforms across most 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
Both Kimi-k1.5 and Particle-1 support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Kimi-k1.5
Particle-1
License
Usage and distribution terms
Both models are licensed under proprietary licenses.
Both models have usage restrictions defined by their respective organizations.
Proprietary
Closed source
Proprietary
Closed source
Release Timeline
When each model was launched
Kimi-k1.5 was released on 2025-01-20, while Particle-1 was released on 2026-10-28.
Particle-1 is 22 months newer than Kimi-k1.5.
Jan 20, 2025
1.8 years ago
Oct 28, 2026
2 days ago
1.8yr 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-k1.5 and Particle-1 side-by-side, then vote on the output you prefer.
FAQ
Common questions about Kimi-k1.5 vs Particle-1.