Qwen3.7 Plus
qwen3.7-plusQwen3.7-Plus is a cost-effective model in Alibaba's Qwen3.7 series. It supports text and image input with text output, building on the series' text capabilities with a comprehensive upgrade to its... Built by Qwen.
Prices updated
Input price
$0.32
per 1M tokens · Standard
Output price
$1.28
per 1M tokens · Standard
Input limit
1M
tokens
Output limit
131K
tokens
Input formats
Output formats
Qwen3.7 Plus price history
2 price records since 9/25/2026
Qwen3.7 Plus cost calculator
$13/month
Standard pricing
Overview
What is Qwen3.7 Plus?
Qwen3.7 Plus is a text & reasoning and vision model from Qwen. Qwen3.7-Plus is a cost-effective model in Alibaba's Qwen3.7 series. It supports text and image input with text output, building on the series' text capabilities with a comprehensive upgrade to its... Its 1M context window and $0.32 input price make it a candidate for quality-focused production applications.
Benchmarks
Qwen3.7 Plus benchmarks & speed
How Qwen3.7 Plus scores on standardized evaluations, and where it lands among every model we track.
25.2
Intelligence Index
56tok/s
Output speed
1272
DesignArena Elo
Reasoning
GPQA Diamond
90.0%
Graduate-level scientific reasoning · top 26%
HLE
35.6%
Humanity's Last Exam · top 30%
Coding
SciCode
46.1%
Python for scientific computing · top 67%
Latency & design
- Time to first token
- 2.26s
- DesignArena win rate
- 50.5%
- Design battles judged
- 16,728
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 Plus pricing
Pricing is based on token usage. Provider-specific caching, batch, regional, and tool charges may affect the final cost.
Input · Standard
$0.32
Per 1M tokens
Cached input · Standard
$0.06
Per 1M tokens
Capabilities
Qwen3.7 Plus Tools
Tools available when using Qwen3.7 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
Supported
Strengths and limitations
Strengths
- Measured results (AA Intelligence 25.2 · DesignArena Elo 1272) 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 4× 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.
Same provider
