GPT-5.6 Luna vs Qwen3.7 Plus
GPT-5.6 Luna (OpenAI) and Qwen3.7 Plus (Alibaba Cloud (Qwen)) compared point by point: measured performance, pricing, context and capabilities.
Data as of October 22, 2026
Side-by-side comparison
| Criterion | GPT-5.6 Luna | Qwen3.7 Plus |
|---|---|---|
| Developer | OpenAI | Alibaba Cloud (Qwen) |
| Released | July 9, 2026 | June 2, 2026 |
| Capability index | 79.6 / 100 | 56.2 / 100 |
| Input price | $0.20 | $0.40 |
| Output price | $1.2 | $1.6 |
| Cost of a typical task | $0.006 | $0.011 |
| Context window | 1,050,000 tokens | 1,000,000 tokens |
| Maximum output | 128,000 tokens | 50,000 tokens |
| Reasoning mode | Yes | Yes |
| Tool calling | Yes | Yes |
| Accepted inputs | text, image, PDF | text, image, video |
| Open weights | No | No |
| Knowledge cutoff | February 16, 2026 | April 2025 |
What are we comparing?
GPT-5.6 Luna and Qwen3.7 Plus are two budget models, built for high volumes at a low price, one from OpenAI, the other from Alibaba Cloud (Qwen). GPT-5.6 Luna was released on July 9, 2026, Qwen3.7 Plus on June 2, 2026.
All figures below come from public sources checked on October 22, 2026: models.dev and OpenRouter for prices and capabilities, Epoch AI for scores.
Performance
On our capability index, GPT-5.6 Luna scores 79.6 out of 100 and Qwen3.7 Plus 56.2. GPT-5.6 Luna leads by 23.4 points.
On the 4 benchmarks reported for both, GPT-5.6 Luna wins 4 times and Qwen3.7 Plus 0:
- GPQA Diamond (PhD-level science questions): GPT-5.6 Luna 91.6%, Qwen3.7 Plus 87.9%
- OTIS Mock AIME (competition mathematics problems): GPT-5.6 Luna 98.3%, Qwen3.7 Plus 93.3%
- FrontierMath (very hard research-level mathematics): GPT-5.6 Luna 82.1%, Qwen3.7 Plus 34.4%
- FrontierCode (advanced programming tasks): GPT-5.6 Luna 39.8%, Qwen3.7 Plus 10.2%
Which one costs less?
GPT-5.6 Luna costs $0.20 per million input tokens and $1.2 per million output tokens; Qwen3.7 Plus costs $0.40 and $1.6.
For a typical agent task (read 20,000 tokens, write 2,000), expect $0.006 with GPT-5.6 Luna versus $0.011 with Qwen3.7 Plus. GPT-5.6 Luna is 1.8 times cheaper, a gap that adds up quickly over 1,000 tasks: $4.8 difference.
Run the numbers with your own volumes in the agent cost calculator.
Under the hood
GPT-5.6 Luna reads more in one go: 1,050,000 tokens of context (roughly 1,575 pages), versus 1,000,000 for Qwen3.7 Plus.
Reasoning mode: GPT-5.6 Luna yes, Qwen3.7 Plus yes. Tool calling: GPT-5.6 Luna yes, Qwen3.7 Plus yes. Image input: GPT-5.6 Luna yes, Qwen3.7 Plus yes.
Neither publishes its weights: both are used through an API.
Knowledge cutoff: February 16, 2026 for GPT-5.6 Luna, April 2025 for Qwen3.7 Plus.
In short
Our reading of the data:
- Choose GPT-5.6 Luna for a higher capability index and a lower cost.
This verdict relies on public figures; it does not replace a trial on your own tasks.
Other comparisons
Frequently asked questions
GPT-5.6 Luna or Qwen3.7 Plus: which is better?
On our index (Epoch AI data), GPT-5.6 Luna scores 79.6 and Qwen3.7 Plus 56.2 out of 100. The best choice also depends on price and on your use case.
Which one is cheaper?
GPT-5.6 Luna. To read 20,000 tokens and write 2,000, expect $0.006 with GPT-5.6 Luna and $0.011 with Qwen3.7 Plus (prices as of October 22, 2026).
Which one has the larger context window?
GPT-5.6 Luna, with 1,050,000 tokens versus 1,000,000.
Can I run GPT-5.6 Luna or Qwen3.7 Plus on my own servers?
No: both are closed models, available through an API.
Data sources
- Models.dev — Model data: models.dev (open-source project)
- OpenRouter — Market prices cross-checked with OpenRouter
- Epoch AI — AI Benchmarking Hub — Epoch AI, “AI Benchmarking Hub”, epoch.ai, CC BY 4.0
Data as of October 22, 2026
Report an error
Does a figure, a date or a fact look wrong? Tell us: every report is checked.