GPT-5.6 Luna vs Qwen3.7-Max
GPT-5.6 Luna and Qwen3.7-Max are both current production-tier models. Qwen3.7-Max leads on reasoning, multilingual.
Specs side by side
| Metric | OpenAI GPT-5.6 Luna | Alibaba Qwen3.7-Max |
|---|---|---|
| Input price (per 1M) | $1 | $2.5 |
| Output price (per 1M) | $6 | $7.5 |
| Context window | 1.1M tokens | 1M tokens |
| Speed tier | fast | balanced |
| Open weights | No | No |
| EU region | Yes | No |
| Free tier | No | No |
| Prompt caching | Yes | Yes |
| Vision input | Yes | No |
| Extended thinking | Yes | Yes |
When to choose each
Choose GPT-5.6 Luna if…
- EU data residency is required
- HIPAA eligibility is required
- You need image input / vision
Choose Qwen3.7-Max if…
- Reasoning is central to your workload
- Multilingual is central to your workload
Benchmark delta
GPT-5.6 Luna leads on
GPT-5.6 Luna has no meaningful benchmark lead in this pair.
Qwen3.7-Max leads on
- Reasoning
- Multilingual
FAQ — GPT-5.6 Luna vs Qwen3.7-Max
GPT-5.6 Luna vs Qwen3.7-Max — which is better?
GPT-5.6 Luna and Qwen3.7-Max are both current production-tier models. Qwen3.7-Max leads on reasoning, multilingual. The right pick depends on your use case — see "When to choose each" above for a data-driven decision.
How does GPT-5.6 Luna pricing compare to Qwen3.7-Max?
GPT-5.6 Luna costs $1 / $6 per 1M vs Qwen3.7-Max at $2.5 / $7.5 per 1M. GPT-5.6 Luna is cheaper on output tokens by roughly 25%. Both support prompt caching, which reduces effective cost by 80-90% on repeat system prompts.
Does GPT-5.6 Luna or Qwen3.7-Max have the bigger context window?
GPT-5.6 Luna has a 1.1M-token context window — 1× the 1M context of Qwen3.7-Max. Enough for entire codebases, books, or multi-document RAG.
Is there a free tier for GPT-5.6 Luna or Qwen3.7-Max?
GPT-5.6 Luna: no — Low-cost at $1/$6 per 1M; starter credits only. Qwen3.7-Max: no — No free API tier; Alibaba Model Studio gives new accounts trial credits.
Which is better for coding — GPT-5.6 Luna or Qwen3.7-Max?
Qwen3.7-Max leads on coding benchmarks (GPT-5.6 Luna: 85/100, Qwen3.7-Max: 88/100). For production coding agents also weigh tool-use performance — GPT-5.6 Luna scores 87, Qwen3.7-Max scores 86.