Particle-1 vs Qwen3.8 Flash
Qwen3.8 Flash leads the LLM Stats Score 47.8 to 32.0. Qwen3.8 Flash is 1.9x cheaper per token.
Particle AI · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
Qwen3.8 Flash leads the overall LLM Stats Score 47.8 to 32.0, ranking #36 overall.
In the 1 individual benchmarks reported for both models, Qwen3.8 Flash wins 1; this is a narrower head-to-head signal than the composite indexes.
On price, Qwen3.8 Flash 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 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 Qwen3.8 Flash
- overall performance matters — it scores 47.8 and ranks #36 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
At a glance
The differences that matter most.
Individual benchmarks
3 reported for Particle-1 · 22 for Qwen3.8 Flash
Particle-1 outperforms in 0 benchmarks, while Qwen3.8 Flash is better at 1 benchmark (GPQA).
Qwen3.8 Flash 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, Particle-1 ($0.25/1M tokens) is 1.7x more expensive than Qwen3.8 Flash ($0.15/1M tokens).
For output processing, Particle-1 ($1.00/1M tokens) is 2.1x more expensive than Qwen3.8 Flash ($0.47/1M tokens).
In conclusion, Particle-1 is more expensive than Qwen3.8 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 Qwen3.8 Flash's 1,000,000 tokens. Both models can generate responses up to 131,072 tokens.
Input capabilities
Documented input modalities across available providers
Both Particle-1 and Qwen3.8 Flash support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Particle-1
Qwen3.8 Flash
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
Particle-1 was released on 2026-10-28, while Qwen3.8 Flash was released on 2026-08-26.
Particle-1 is 2 months newer than Qwen3.8 Flash.
Oct 28, 2026
1 weeks ago
2mo newerAug 26, 2026
2 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. Qwen3.8 Flash is available from Novita.
Particle-1
Qwen3.8 Flash
Outputs Comparison
Judge for yourself.
Run your own prompts against Particle-1 and Qwen3.8 Flash side-by-side, then vote on the output you prefer.
FAQ
Common questions about Particle-1 vs Qwen3.8 Flash.