Particle-1 vs Qwen3-Next-80B-A3B-Thinking
Particle-1 leads the LLM Stats Score 32.0 to 23.2. Particle-1 is 1.1x cheaper per token.
Particle AI · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
Particle-1 leads the overall LLM Stats Score 32.0 to 23.2, ranking #135 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 1.1x 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
- overall performance matters — it scores 32.0 and ranks #135 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 1.1x 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
Choose Qwen3-Next-80B-A3B-Thinking
- 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 · 23 for Qwen3-Next-80B-A3B-Thinking
Particle-1 outperforms in 1 benchmarks (GPQA), while Qwen3-Next-80B-A3B-Thinking is better at 0 benchmarks.
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, Particle-1 ($0.25/1M tokens) is 1.7x more expensive than Qwen3-Next-80B-A3B-Thinking ($0.15/1M tokens).
For output processing, Particle-1 ($1.00/1M tokens) is 1.5x cheaper than Qwen3-Next-80B-A3B-Thinking ($1.50/1M tokens).
In conclusion, Qwen3-Next-80B-A3B-Thinking 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 Qwen3-Next-80B-A3B-Thinking's 65,536 tokens. Particle-1 can generate longer responses up to 131,072 tokens, while Qwen3-Next-80B-A3B-Thinking is limited to 65,536 tokens.
Input capabilities
Documented input modalities across available providers
Particle-1 supports multimodal inputs, whereas Qwen3-Next-80B-A3B-Thinking does not.
Particle-1 can handle both text and other forms of data like images, making it suitable for multimodal applications.
Particle-1
Qwen3-Next-80B-A3B-Thinking
License
Usage and distribution terms
Particle-1 is licensed under a proprietary license, while Qwen3-Next-80B-A3B-Thinking 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 Qwen3-Next-80B-A3B-Thinking was released on 2025-09-10.
Particle-1 is 14 months newer than Qwen3-Next-80B-A3B-Thinking.
Oct 28, 2026
1 weeks ago
1.1yr newerSep 10, 2025
1.2 years 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-Next-80B-A3B-Thinking is available from Novita.
Particle-1
Qwen3-Next-80B-A3B-Thinking
Outputs Comparison
Judge for yourself.
Run your own prompts against Particle-1 and Qwen3-Next-80B-A3B-Thinking side-by-side, then vote on the output you prefer.
FAQ
Common questions about Particle-1 vs Qwen3-Next-80B-A3B-Thinking.