Qwen3.7 Max
qwen3.7-maxQwen3.7-Max is the flagship model in Alibaba's Qwen3.7 series. It supports text input and output and is designed for agent-centric workloads, with particular strengths in coding, office and productivity tasks,... Built by Qwen.
Prices updated
Input price
$1.48
per 1M tokens · Standard
Output price
$4.42
per 1M tokens · Standard
Input limit
1M
tokens
Output limit
131K
tokens
Input formats
Output formats
Qwen3.7 Max price history
2 price records since 9/25/2026
Qwen3.7 Max cost calculator
$52/month
Standard pricing
Overview
What is Qwen3.7 Max?
Qwen3.7 Max is a text & reasoning model from Qwen. Qwen3.7-Max is the flagship model in Alibaba's Qwen3.7 series. It supports text input and output and is designed for agent-centric workloads, with particular strengths in coding, office and productivity tasks,... Its 1M context window and $1.48 input price make it a candidate for quality-focused production applications.
Benchmarks
Qwen3.7 Max benchmarks & speed
How Qwen3.7 Max scores on standardized evaluations, and where it lands among every model we track.
29.5
Intelligence Index
198tok/s
Output speed
1280
DesignArena Elo
Reasoning
GPQA Diamond
92.3%
Graduate-level scientific reasoning · top 13%
HLE
40.5%
Humanity's Last Exam · top 21%
Coding
SciCode
49.5%
Python for scientific computing · top 54%
Latency & design
- Time to first token
- 2.2s
- DesignArena win rate
- 54.4%
- Design battles judged
- 34,489
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
Qwen3.7 Max pricing
Pricing is based on token usage. Provider-specific caching, batch, regional, and tool charges may affect the final cost.
Input · Standard
$1.48
Per 1M tokens
Cached input · Standard
$0.29
Per 1M tokens
Capabilities
Qwen3.7 Max Tools
Tools available when using Qwen3.7 Max 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
Supported
Strengths and limitations
Strengths
- Measured results (AA Intelligence 29.5 · DesignArena Elo 1280) position it for demanding production work.
- 1M context supports large documents, repositories and extended conversations.
- Supports text & reasoning workloads in one model.
Limitations
- Real-world cost still depends on prompt length, response length and provider-specific billing rules.
- 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.
Same provider