Gemma 2 9B vs Particle-1
Particle-1 leads the LLM Stats Score 31.9 to -5.3.
Google · Particle AI · Updated for 2026
Which is better?
Particle-1 leads the overall LLM Stats Score 31.9 to -5.3, ranking #133 overall.
In the 1 individual benchmarks reported for both models, Particle-1 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 Gemma 2 9B
- 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 value its reported benchmark strengths — it wins 1 of 1 exact shared results
- you want the most recent training data — it shipped Oct 2026
At a glance
The differences that matter most.
Individual benchmarks
16 reported for Gemma 2 9B · 3 for Particle-1
Gemma 2 9B outperforms in 0 benchmarks, while Particle-1 is better at 1 benchmark (MMLU).
Particle-1 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
Particle-1 supports multimodal inputs, whereas Gemma 2 9B does not.
Particle-1 can handle both text and other forms of data like images, making it suitable for multimodal applications.
Gemma 2 9B
Particle-1
License
Usage and distribution terms
Gemma 2 9B is licensed under Gemma, while Particle-1 uses a proprietary license.
License differences may affect how you can use these models in commercial or open-source projects.
Gemma
Open weights
Proprietary
Closed source
Release Timeline
When each model was launched
Gemma 2 9B was released on 2024-06-27, while Particle-1 was released on 2026-10-28.
Particle-1 is 28 months newer than Gemma 2 9B.
Jun 27, 2024
2.3 years ago
Oct 28, 2026
-2 days ago
2.3yr 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 Gemma 2 9B and Particle-1 side-by-side, then vote on the output you prefer.
FAQ
Common questions about Gemma 2 9B vs Particle-1.