Alibaba
Qwen3.7 Max
Qwen3.7 Max from Alibaba: Qwen frontier model tuned for agent frameworks, coding assistants, and long tasks.
- Context
- 1M
- Max output
- 65.54K
- Input / 1M tokens
- $2.50
- Output / 1M tokens
- $7.50
Accepts
- Text input
Produces
- Text output
AI model comparison
Compare pricing, context limits, supported inputs and deployment options to choose a model for your workflow.
Qwen3.7 Max from Alibaba lists 1M context, 65.54K maximum output, $2.50 input per 1M tokens, $7.50 output per 1M tokens. GPT-5.6 Luna from OpenAI lists 1.05M context, 128K maximum output, $0.20 input per 1M tokens, $1.20 output per 1M tokens. Compare the inputs, outputs and deployment options below to see which fits your workflow.
Alibaba
Qwen3.7 Max from Alibaba: Qwen frontier model tuned for agent frameworks, coding assistants, and long tasks.
Accepts
Produces
OpenAI
GPT-5.6 Luna from OpenAI: Cost-efficient GPT-5.6 model for fast, high-volume workloads.
Accepts
Produces
At a glance
Compare the available figures below, then try both models on the work you need to do.
GPT-5.6 Luna
Context capacity
Higher listed limit
Qwen3.7 Max:1M
GPT-5.6 Luna:1.05M
GPT-5.6 Luna
Maximum output
Higher listed limit
Qwen3.7 Max:65.54K
GPT-5.6 Luna:128K
GPT-5.6 Luna
Input price
Lower listed token rate
Qwen3.7 Max:$2.50
GPT-5.6 Luna:$0.20
GPT-5.6 Luna
Output price
Lower listed token rate
Qwen3.7 Max:$7.50
GPT-5.6 Luna:$1.20
GPT-5.6 Luna
Specifications
| Specification | Qwen3.7 Max | GPT-5.6 Luna |
|---|---|---|
| Provider | Alibaba | OpenAI |
| Listed pricing route | Alibaba | OpenAI |
| Model family | qwen | gpt-luna |
| Accepted inputs | text | text, image, pdf |
| Produced outputs | text | text |
| Context window | 1M | 1.05MHigher |
| Max output | 65.54K | 128KHigher |
| Input price / 1M | $2.50 | $0.20Lower |
| Output price / 1M | $7.50 | $1.20Lower |
| Reasoning mode | Documented | Documented |
| Tool calling | Documented | Documented |
| Image input | Not documented | Documented |
| Audio input | Not documented | Not documented |
| Structured output | Not documented | Documented |
| License | Proprietary | Proprietary |
Workload guidance
Consider GPT-5.6 Luna if you need larger context or larger maximum output or a lower listed input rate or a lower listed output rate. Test both on the same representative examples and judge the output against your acceptance criteria. Include tool failures, retries and the time to a completed task.
Explore each model’s features, API requirements and licence terms in the sources below.
Qwen3.7 Max
Alibaba
Profile updated Oct 13, 2026
GPT-5.6 Luna
OpenAI
Profile updated Oct 13, 2026
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