Qwen3.6 Plus
qwen3.6-plusQwen 3.6 Plus builds on a hybrid architecture that combines efficient linear attention with sparse mixture-of-experts routing, enabling strong scalability and high-performance inference. Compared to the 3.5 series, it delivers... Built by Qwen.
Prices updated
Input price
$0.33
per 1M tokens · Standard
Output price
$1.95
per 1M tokens · Standard
Input limit
1M
tokens
Output limit
66K
tokens
Input formats
Output formats
Qwen3.6 Plus price history
2 price records since 9/25/2026
Qwen3.6 Plus cost calculator
$16/month
Standard pricing
Overview
What is Qwen3.6 Plus?
Qwen3.6 Plus is a text & reasoning and vision model from Qwen. Qwen 3.6 Plus builds on a hybrid architecture that combines efficient linear attention with sparse mixture-of-experts routing, enabling strong scalability and high-performance inference. Compared to the 3.5 series, it delivers... Its 1M context window and $0.33 input price make it a candidate for quality-focused production applications.
Benchmarks
Qwen3.6 Plus benchmarks & speed
How Qwen3.6 Plus scores on standardized evaluations, and where it lands among every model we track.
27.0
Intelligence Index
56tok/s
Output speed
1239
DesignArena Elo
Reasoning
GPQA Diamond
88.2%
Graduate-level scientific reasoning · top 32%
HLE
27.8%
Humanity's Last Exam · top 42%
Latency & design
- Time to first token
- 2.19s
- DesignArena win rate
- 50.4%
- Design battles judged
- 37,246
Independent scores from Artificial Analysis and DesignArena · updated 10/8/2026. Higher is better; ranks compare against every model we track with that score.
Rates
Qwen3.6 Plus pricing
Pricing is based on token usage. Provider-specific caching, batch, regional, and tool charges may affect the final cost.
Input · Standard
$0.33
Per 1M tokens
Cached input · Standard
Not available
No listed cached-input rate
Capabilities
Qwen3.6 Plus Tools
Tools available when using Qwen3.6 Plus through supported provider APIs.
Function calling
Supported
Structured outputs
Supported
JSON mode
Supported
Reasoning
Supported
Built-in web search
Not supported
Log probabilities
Supported
Deterministic seed
Supported
Parallel tool calls
Not supported
Prompt caching
Not supported
Strengths and limitations
Strengths
- Measured results (AA Intelligence 27 · DesignArena Elo 1239) position it for demanding production work.
- 1M context supports large documents, repositories and extended conversations.
- Supports text & reasoning and vision workloads in one model.
Limitations
- Generated tokens cost 6× more than input tokens, which matters for verbose responses.
- Large context capacity does not guarantee consistent retrieval across the entire prompt.
- Arena Elo and MMLU-Pro are directional; test accuracy, latency and reliability on your own workload before committing.
Arena Elo, MMLU-Pro and pricing figures are illustrative; validate current vendor terms before purchase.
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