Particle-1 vs Step-3.5-Flash
Particle-1 and Step-3.5-Flash are closely matched at 31.9 and 36.5 on the LLM Stats Score. Step-3.5-Flash is 2.5x cheaper per token.
Particle AI · StepFun · Updated for 2026
Which is better?
Particle-1 and Step-3.5-Flash are closely matched on the overall LLM Stats Score at 31.9 and 36.5.
On price, Step-3.5-Flash is roughly 2.5x 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 Particle-1
- you process long inputs — it offers a 1,048,576 token context window
- you want the most recent training data — it shipped Oct 2026
Choose Step-3.5-Flash
- cost matters — it's about 2.5x cheaper per token
- you need open weights you can self-host or fine-tune
At a glance
The differences that matter most.
Individual benchmarks
3 reported for Particle-1 · 7 for Step-3.5-Flash
Particle-1 and Step-3.5-Flashdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, Particle-1 ($0.25/1M tokens) is 2.5x more expensive than Step-3.5-Flash ($0.10/1M tokens).
For output processing, Particle-1 ($1.00/1M tokens) is 2.5x more expensive than Step-3.5-Flash ($0.40/1M tokens).
In conclusion, Particle-1 is more expensive than Step-3.5-Flash.*
* 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 Step-3.5-Flash's 65,536 tokens. Particle-1 can generate longer responses up to 131,072 tokens, while Step-3.5-Flash is limited to 8,192 tokens.
Input capabilities
Documented input modalities across available providers
Particle-1 supports multimodal inputs, whereas Step-3.5-Flash does not.
Particle-1 can handle both text and other forms of data like images, making it suitable for multimodal applications.
Particle-1
Step-3.5-Flash
License
Usage and distribution terms
Particle-1 is licensed under a proprietary license, while Step-3.5-Flash uses Apache 2.0.
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
Apache 2.0
Open weights
Release Timeline
When each model was launched
Particle-1 was released on 2026-10-28, while Step-3.5-Flash was released on 2026-02-02.
Particle-1 is 9 months newer than Step-3.5-Flash.
Oct 28, 2026
2 days ago
8mo newerFeb 2, 2026
9 months ago
Knowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
Particle-1 is available from Particle AI. Step-3.5-Flash is available from StepFun.
Particle-1
Step-3.5-Flash
Outputs Comparison
Judge for yourself.
Run your own prompts against Particle-1 and Step-3.5-Flash side-by-side, then vote on the output you prefer.
FAQ
Common questions about Particle-1 vs Step-3.5-Flash.