Model comparison
Poolside: Laguna XS 2.1 vs GPT-5
Capability radar, value bars, and side-by-side posture.
Poolside: Laguna XS 2.1
Not scored
value score
GPT-5
94
value score
Poolside: Laguna XS 2.1 ctx
—
GPT-5 ctx
400K
Capability radar
Value · context · multimodal · openness · speed posture
Value head-to-head
- GPT-594
Attribute tape
| Field | Poolside: Laguna XS 2.1 | GPT-5 |
|---|---|---|
| Developer | poolside | OpenAI |
| Context | — | 400K |
| Modalities | Text, Code, Image, Audio | |
| Openness | — | Proprietary Model |
| Speed | — | Fast |
| Price | — | Mid-High |
| Value score | — | 94 |
| Summary | Laguna XS 2.1 is a 33B-parameter MoE coding model from Poolside with 3B activated parameters per token, designed for agentic software engineering, long-horizon tasks, and tool use with a local-deployment-friendly footprint. | OpenAI frontier multimodal model. |