GPT-6 Luna vs Laguna XS 2.1
GPT-6 Luna leads the LLM Stats Score 43.1 to 23.9. Laguna XS 2.1 is 1.6x cheaper per token.
OpenAI · Poolside · Updated for 2026
Which is better?
GPT-6 Luna leads the overall LLM Stats Score 43.1 to 23.9, ranking #55 overall.
On price, Laguna XS 2.1 is roughly 1.6x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
GPT-6 Luna also accepts a larger context window (1,050,000 input tokens), making it the stronger choice for long documents and large codebases.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose GPT-6 Luna
- overall performance matters — it scores 43.1 and ranks #55 on LLM Stats
- your work emphasizes reasoning and coding — it leads those capability indexes
- you process long inputs — it offers a 1,050,000 token context window
- you want the most recent training data — it shipped Sep 2026
Choose Laguna XS 2.1
- cost matters — it's about 1.6x cheaper per token
- you need open weights you can self-host or fine-tune
At a glance
The differences that matter most.
Individual benchmarks
5 reported for GPT-6 Luna · 4 for Laguna XS 2.1
GPT-6 Luna and Laguna XS 2.1don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, GPT-6 Luna ($0.10/1M tokens) costs the same as Laguna XS 2.1 ($0.10/1M tokens).
For output processing, GPT-6 Luna ($0.50/1M tokens) is 2.5x more expensive than Laguna XS 2.1 ($0.20/1M tokens).
In conclusion, GPT-6 Luna is more expensive than Laguna XS 2.1.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
GPT-6 Luna accepts 1,050,000 input tokens compared to Laguna XS 2.1's 262,144 tokens. Only GPT-6 Luna specifies output context (128,000 tokens).
Input capabilities
Documented input modalities across available providers
GPT-6 Luna supports multimodal inputs, whereas Laguna XS 2.1 does not.
GPT-6 Luna can handle both text and other forms of data like images, making it suitable for multimodal applications.
GPT-6 Luna
Laguna XS 2.1
License
Usage and distribution terms
GPT-6 Luna is licensed under a proprietary license, while Laguna XS 2.1 uses OpenMDW License v1.1.
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
OpenMDW License v1.1
Open weights
Release Timeline
When each model was launched
GPT-6 Luna was released on 2026-09-22, while Laguna XS 2.1 was released on 2026-07-02.
GPT-6 Luna is 3 months newer than Laguna XS 2.1.
Sep 22, 2026
4 weeks ago
2mo newerJul 2, 2026
3 months ago
Knowledge Cutoff
When training data ends
GPT-6 Luna has a documented knowledge cutoff of 2026-05-18, while Laguna XS 2.1's cutoff date is not specified.
We can confirm GPT-6 Luna's training data extends to 2026-05-18, but cannot make a direct comparison without Laguna XS 2.1's cutoff date.
May 2026
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Provider Availability
GPT-6 Luna is available from OpenAI. Laguna XS 2.1 is available from Poolside.
GPT-6 Luna
Laguna XS 2.1
Outputs Comparison
Judge for yourself.
Run your own prompts against GPT-6 Luna and Laguna XS 2.1 side-by-side, then vote on the output you prefer.
FAQ
Common questions about GPT-6 Luna vs Laguna XS 2.1.