Particle-1 vs Qwen3 Max
Particle-1 leads the LLM Stats Score 32.0 to 21.1. Particle-1 is 3.7x 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 21.1, 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 3.7x 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 3.7x 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 Max
- you want predictable pricing at $0.50/M input and $5.00/M output
At a glance
The differences that matter most.
Individual benchmarks
3 reported for Particle-1 · 6 for Qwen3 Max
Particle-1 outperforms in 1 benchmarks (GPQA), while Qwen3 Max 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 2.0x cheaper than Qwen3 Max ($0.50/1M tokens).
For output processing, Particle-1 ($1.00/1M tokens) is 5.0x cheaper than Qwen3 Max ($5.00/1M tokens).
In conclusion, Qwen3 Max 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 Max's 256,000 tokens. Both models can generate responses up to 131,072 tokens.
Input capabilities
Documented input modalities across available providers
Particle-1 supports multimodal inputs, whereas Qwen3 Max does not.
Particle-1 can handle both text and other forms of data like images, making it suitable for multimodal applications.
Particle-1
Qwen3 Max
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 Max was released on 2025-12-15.
Particle-1 is 11 months newer than Qwen3 Max.
Oct 28, 2026
1 weeks ago
10mo newerDec 15, 2025
10 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 Max is available from Novita, DeepInfra.
Particle-1
Qwen3 Max
Outputs Comparison
Judge for yourself.
Run your own prompts against Particle-1 and Qwen3 Max side-by-side, then vote on the output you prefer.
FAQ
Common questions about Particle-1 vs Qwen3 Max.