Poolside
2 models across 1 family · Latest: Laguna XS.2 (2026-04)
Reinforcement learning transforms code generation
Poolside's portfolio covers 2 active models across 1 current family, spanning long context. Open a model detail page to compare provider routes and sourced benchmarks.
Covers 1 workload area across 2 active tracked models; last verified 2026-05-19.
Use it for
- Teams evaluating long context across this lab's releases
- Comparing model families before committing to a flagship
- Migration and pricing follow-ups across 2 tracked models
Do not use it for
- Choosing a hosting provider without opening a model page for price ladders
Active models
2
Current models from this lab, excluding deprecated ones
Active families
1
Current model families from this lab
Open catalog
0 open
0 open source / 0 open weights
Lowest output price
Not tracked
No provider output pricing linked yet
Latest dated release
2026-04-28
Laguna XS.2
Freshness
2026-05-19
Researched 105d ago
Information
Release cadence
- Dated releases
- 2
- Latest model
- Laguna XS.2
- Latest date
- 2026-04-28
Where this lab wins
- Long-context: 2 tracked models with context-token or InfiniteBench-class signal.
Flagship quality / price signal
- Flagship
- Laguna XS.2
- Selection source
- Best sourced coding Q/$
- Coding grade
- unknown
- Benchmark / output price
- Not enough sourced benchmark and price coverage
About
Poolside, a cutting-edge AI research company based in Paris and founded in 2023, is at the forefront of innovations in artificial intelligence, specifically targeting advancements in software development. At the core of Poolside’s mission is the ambition to create AI systems that not only assist human developers but ultimately enhance and surpass human capabilities in software engineering. This vision underscores the company's belief that software development captures the essence of human intelligence, and breakthroughs in this domain can catalyze significant global progress. Central to Poolside’s technology is their proprietary methodology known as Reinforcement Learning from Code Execution Feedback (RLCEF).
Featured models
| Model | Released | Context | Input price ($/1M) | Output price ($/1M) | License | Openness |
|---|---|---|---|---|---|---|
| Laguna XS.2 | 2026-04-28 | 131k | $0 | $0 | Proprietary | Proprietary |
| Laguna M.1 | 2026-04-28 | 131k | $0 | $0 | Proprietary | Proprietary |
Model families
Recent releases
- Laguna XS.2- 2026-04-28
- Laguna M.1- 2026-04-28
Explore related pages
Last reviewed: 2026-05-19. Data sourced from public lab announcements and provider documentation.