Gemini 2.5 Flash vs Particle-1
Particle-1 leads the LLM Stats Score 31.9 to 21.1. Particle-1 is 1.9x cheaper per token.
Google · Particle AI · Updated for 2026
Which is better?
Particle-1 leads the overall LLM Stats Score 31.9 to 21.1, 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.
On price, Particle-1 is roughly 1.9x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
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 Gemini 2.5 Flash
- you want predictable pricing at $0.30/M input and $2.50/M output
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
- cost matters — it's about 1.9x cheaper per token
- 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 Gemini 2.5 Flash · 3 for Particle-1
Gemini 2.5 Flash outperforms in 0 benchmarks, while Particle-1 is better at 1 benchmark (GPQA).
Particle-1 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 2.5 Flash ($0.30/1M tokens) is 1.2x more expensive than Particle-1 ($0.25/1M tokens).
For output processing, Gemini 2.5 Flash ($2.50/1M tokens) is 2.5x more expensive than Particle-1 ($1.00/1M tokens).
In conclusion, Gemini 2.5 Flash is more expensive than Particle-1.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Particle-1 accepts 1,048,576 input tokens compared to Gemini 2.5 Flash's 1,000,000 tokens. Gemini 2.5 Flash can generate longer responses up to 1,000,000 tokens, while Particle-1 is limited to 131,072 tokens.
Input capabilities
Documented input modalities across available providers
Both Gemini 2.5 Flash and Particle-1 support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Gemini 2.5 Flash
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 2.5 Flash was released on 2025-05-20, while Particle-1 was released on 2026-10-28.
Particle-1 is 18 months newer than Gemini 2.5 Flash.
May 20, 2025
1.4 years ago
Oct 28, 2026
-1 days ago
1.4yr newerKnowledge Cutoff
When training data ends
Gemini 2.5 Flash has a documented knowledge cutoff of 2025-01-31, while Particle-1's cutoff date is not specified.
We can confirm Gemini 2.5 Flash'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 2.5 Flash is available from DeepInfra, Google. Particle-1 is available from Particle AI.
Gemini 2.5 Flash
Particle-1
Outputs Comparison
Judge for yourself.
Run your own prompts against Gemini 2.5 Flash and Particle-1 side-by-side, then vote on the output you prefer.
FAQ
Common questions about Gemini 2.5 Flash vs Particle-1.