Model vs model
GPT-6 Luna vs Laguna S 2.1
At a glance
Longer bar means the bigger number.
Open or closed · can you download the model and run it yourself?
Blended price · per 1M tokens, lower is better
Where they sit among all 45 models
GPT-6 Luna ranks 20th of the 44 models with an Intelligence Index. Up and to the left is smarter for less money. Hover or tap a dot for its numbers, then click it to compare that model with GPT-6 Luna.
Which one to pick
Pick GPT-6 Luna if
- you need to send images and PDFs
Pick Laguna S 2.1 if
- you want open weights you can download and run yourself
- you want the lower bill ($0.11 vs $0.20 per 1M tokens blended)
How smart is each one?
Every intelligence score we have
Out of 100, higher is better. GPT-6 Luna Laguna S 2.1
Laguna S 2.1 has no Artificial Analysis scores yet, so only our own tests compare them.
Overall
Intelligence Index
38.1
By field of work
Finance & accounting
40.3Legal
40.3Healthcare & medicine
38.9Economics
45.2Engineering
37.1Strategy & operations
45.7
Benchmarks
Factual knowledge · SimpleQA
41.4Hard reasoning · Humanity's Last Exam
38.5Scientific coding · SciCode
54.6Terminal tasks · Terminal-Bench 4.0
12.6Long documents · AA-LCR
83.3
Our tests
Hallucination test · our test, higher means it made up less
81.7Laguna S 2.1: not scored yet
Next.js coding tasks · Vercel's Next.js evals, % of tasks passed
77Laguna S 2.1: not scored yet
The specs
| Spec | GPT-6 Luna | Laguna S 2.1 |
|---|---|---|
| Input price | $0.10 per 1M | $0.09 per 1M |
| Output price | $0.50 per 1M | $0.18 per 1M |
| Cost per test task | $0.0678 | Not tested |
| Context window | 1.05M | 1M |
| Max output | 128K | 131K |
| Accepts | Text, Image, PDF | Text |
| Open weights | No | Yes |
| Lab | OpenAI | Poolside |
| Released | Sep 2026 | Jul 2026 |
| Knowledge cutoff | May 2026 | Not published |
Blended price weighs 3 parts input to 1 part output. List prices from models.dev. Cost per test task from Artificial Analysis.
Questions
Is GPT-6 Luna or Laguna S 2.1 cheaper?
Laguna S 2.1 is cheaper. It charges $0.09 per 1M input tokens and $0.18 per 1M output tokens, against $0.10 and $0.50 for GPT-6 Luna. Blended 3 parts input to 1 part output, that is $0.11 against $0.20 per 1M tokens.
Are GPT-6 Luna and Laguna S 2.1 open source?
Only Laguna S 2.1. It is an open-weights model: Poolside publishes the weights, so you can download it, run it on your own hardware or pick any host. GPT-6 Luna is closed: you can only use it through an API.
Which has the longer context window?
They are about the same: GPT-6 Luna accepts 1.05M tokens and Laguna S 2.1 1M.
Can I compare GPT-6 Luna and Laguna S 2.1 on my own prompt?
Yes. ModelCompare sends one prompt to both models at once and shows each answer side by side with what it cost. You can try it free without an account.
Related comparisons
Where the numbers come from
Intelligence Index and benchmark scores are from Artificial Analysis, at each model’s highest effort, except SimpleQA, which is from Epoch AI, and the Uncensored score, which is from the UGI Leaderboard. The hallucination test is ours: questions with one exact answer, fake evidence pushed against right answers and requests that tempt a model to name packages that don’t exist. Prices are list prices from models.dev. Example answers come from our own test runs. Updated October 26, 2026.