Qwen3.6 Max Preview
qwen3.6-max-previewQwen3.6-Max-Preview is a proprietary frontier model from Alibaba Cloud built on a sparse mixture-of-experts architecture with approximately 1 trillion total parameters. It is optimized for agentic coding, tool use, and... Built by Qwen.
Prices updated
Input price
$1.03
per 1M tokens · Standard
Output price
$6.16
per 1M tokens · Standard
Input limit
262K
tokens
Output limit
66K
tokens
Input formats
Output formats
Qwen3.6 Max Preview price history
2 price records since 9/25/2026
Qwen3.6 Max Preview cost calculator
$51/month
Standard pricing
Overview
What is Qwen3.6 Max Preview?
Qwen3.6 Max Preview is a text & reasoning model from Qwen. Qwen3.6-Max-Preview is a proprietary frontier model from Alibaba Cloud built on a sparse mixture-of-experts architecture with approximately 1 trillion total parameters. It is optimized for agentic coding, tool use, and... Its 262K context window and $1.03 input price make it a candidate for quality-focused production applications.
Benchmarks
Qwen3.6 Max Preview benchmarks & speed
How Qwen3.6 Max Preview scores on standardized evaluations, and where it lands among every model we track.
28.4
Intelligence Index
72tok/s
Output speed
Reasoning
GPQA Diamond
88.8%
Graduate-level scientific reasoning · top 31%
HLE
30.8%
Humanity's Last Exam · top 34%
Latency & design
- Time to first token
- 2.96s
Independent scores from Artificial Analysis and DesignArena · updated 10/5/2026. Higher is better; ranks compare against every model we track with that score.
Rates
Qwen3.6 Max Preview pricing
Pricing is based on token usage. Provider-specific caching, batch, regional, and tool charges may affect the final cost.
Input · Standard
$1.03
Per 1M tokens
Cached input · Standard
Not available
No listed cached-input rate
Capabilities
Qwen3.6 Max Preview Tools
Tools available when using Qwen3.6 Max Preview 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 28.4) position it for demanding production work.
- 262K context supports large documents, repositories and extended conversations.
- Supports text & reasoning 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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