Gemini 3 Pro vs Particle-1
Gemini 3 Pro and Particle-1 are closely matched at 38.1 and 32.0 on the LLM Stats Score. Particle-1 is 10.3x cheaper per token.
Google · Particle AI · Updated for 2026
Which is better?
Gemini 3 Pro and Particle-1 are closely matched on the overall LLM Stats Score at 38.1 and 32.0.
In the 1 individual benchmarks reported for both models, Gemini 3 Pro wins 1; this is a narrower head-to-head signal than the composite indexes.
On price, Particle-1 is roughly 10.3x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose Gemini 3 Pro
- you value its reported benchmark strengths — it wins 1 of 1 exact shared results
Choose Particle-1
- cost matters — it's about 10.3x cheaper per token
- you want the most recent training data — it shipped Oct 2026
At a glance
The differences that matter most.
Individual benchmarks
21 reported for Gemini 3 Pro · 3 for Particle-1
Gemini 3 Pro outperforms in 1 benchmarks (GPQA), while Particle-1 is better at 0 benchmarks.
Gemini 3 Pro significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, Gemini 3 Pro ($2.00/1M tokens) is 8.0x more expensive than Particle-1 ($0.25/1M tokens).
For output processing, Gemini 3 Pro ($12.00/1M tokens) is 12.0x more expensive than Particle-1 ($1.00/1M tokens).
In conclusion, Gemini 3 Pro is more expensive than Particle-1.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Both models have the same input context window of 1,048,576 tokens. Particle-1 can generate longer responses up to 131,072 tokens, while Gemini 3 Pro is limited to 65,536 tokens.
Input capabilities
Documented input modalities across available providers
Both Gemini 3 Pro and Particle-1 support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Gemini 3 Pro
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
Gemini 3 Pro was released on 2025-11-18, while Particle-1 was released on 2026-10-28.
Particle-1 is 11 months newer than Gemini 3 Pro.
Nov 18, 2025
11 months ago
Oct 28, 2026
1 weeks ago
11mo newerKnowledge Cutoff
When training data ends
Gemini 3 Pro has a documented knowledge cutoff of 2025-01-31, while Particle-1's cutoff date is not specified.
We can confirm Gemini 3 Pro's training data extends to 2025-01-31, but cannot make a direct comparison without Particle-1's cutoff date.
Jan 2025
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Provider Availability
Gemini 3 Pro is available from Google. Particle-1 is available from Particle AI.
Gemini 3 Pro
Particle-1
Outputs Comparison
Judge for yourself.
Run your own prompts against Gemini 3 Pro and Particle-1 side-by-side, then vote on the output you prefer.
FAQ
Common questions about Gemini 3 Pro vs Particle-1.