GPT-5.6 Luna vs GPT-6 Luna
GPT-5.6 Luna (OpenAI) and GPT-6 Luna (OpenAI) 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 | GPT-6 Luna |
|---|---|---|
| Developer | OpenAI | OpenAI |
| Released | July 9, 2026 | September 22, 2026 |
| Capability index | 79.6 / 100 | 80.3 / 100 |
| Input price | $0.20 | $0.10 |
| Output price | $1.2 | $0.50 |
| Cost of a typical task | $0.006 | $0.003 |
| Context window | 1,050,000 tokens | 1,050,000 tokens |
| Maximum output | 128,000 tokens | 128,000 tokens |
| Reasoning mode | Yes | Yes |
| Tool calling | Yes | Yes |
| Accepted inputs | text, image, PDF | text, image, PDF |
| Open weights | No | No |
| Knowledge cutoff | February 16, 2026 | May 18, 2026 |
The match-up at a glance
GPT-5.6 Luna and GPT-6 Luna are two budget models, built for high volumes at a low price, both built by OpenAI. GPT-5.6 Luna was released on July 9, 2026, GPT-6 Luna on September 22, 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.
What the benchmarks say
On our capability index, GPT-5.6 Luna scores 79.6 out of 100 and GPT-6 Luna 80.3. The gap is too small to separate them.
On the 5 benchmarks reported for both, GPT-5.6 Luna wins 2 times and GPT-6 Luna 3:
- GPQA Diamond (PhD-level science questions): GPT-5.6 Luna 91.6%, GPT-6 Luna 90.5%
- OTIS Mock AIME (competition mathematics problems): GPT-5.6 Luna 98.3%, GPT-6 Luna 98.9%
- FrontierMath (very hard research-level mathematics): GPT-5.6 Luna 82.1%, GPT-6 Luna 78.9%
- FrontierCode (advanced programming tasks): GPT-5.6 Luna 39.8%, GPT-6 Luna 42.4%
- APEX-Agents (professional tasks carried out by an agent): GPT-5.6 Luna 43%, GPT-6 Luna 44.3%
Pricing
GPT-5.6 Luna costs $0.20 per million input tokens and $1.2 per million output tokens; GPT-6 Luna costs $0.10 and $0.50.
For a typical agent task (read 20,000 tokens, write 2,000), expect $0.006 with GPT-5.6 Luna versus $0.003 with GPT-6 Luna. GPT-6 Luna is 2.1 times cheaper, a gap that adds up quickly over 1,000 tasks: $3.4 difference.
Run the numbers with your own volumes in the agent cost calculator.
Features and limits
Both models have the same context window: 1,050,000 tokens, roughly 1,575 pages.
Reasoning mode: GPT-5.6 Luna yes, GPT-6 Luna yes. Tool calling: GPT-5.6 Luna yes, GPT-6 Luna yes. Image input: GPT-5.6 Luna yes, GPT-6 Luna yes.
Neither publishes its weights: both are used through an API.
Knowledge cutoff: February 16, 2026 for GPT-5.6 Luna, May 18, 2026 for GPT-6 Luna.
In short
Our reading of the data:
- Choose GPT-6 Luna for a lower cost and a more recent release.
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 GPT-6 Luna: which is better?
On our index (Epoch AI data), GPT-5.6 Luna scores 79.6 and GPT-6 Luna 80.3 out of 100. The best choice also depends on price and on your use case.
Which one is cheaper?
GPT-6 Luna. To read 20,000 tokens and write 2,000, expect $0.006 with GPT-5.6 Luna and $0.003 with GPT-6 Luna (prices as of October 22, 2026).
Which one has the larger context window?
Neither: both accept 1,050,000 tokens.
Can I run GPT-5.6 Luna or GPT-6 Luna 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
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