Laguna XS 2.1
poolside · released Jun 20, 2026 · poolside/Laguna-XS-2.1
- Type
- Open weightsopenmdw-1.1
- Params
- 33.4B
- Context
- 262K
about 197K words of context · download allowed, licence restricts use
Our take
Written Aug 2, 2026Laguna XS 2.1 is a 33.4-billion-parameter text model from poolside with a 262,144-token request limit and a restricted open licence. It is aimed at code and reasoning tasks, though no benchmark scores have been measured to back that positioning.
Pick this for long-document work where you need open weights and a quarter-million-token request limit, or when you want vendor-native hosting at a known throughput. Skip it if you need measured quality data, a permissive licence, or multimodal input.
The case for it
- Identical pricing across both tracked hosts removes provider-arbitrage complexity.
- 262,144-token request limit is unusually long for a 33-billion-parameter open model.
The case against it
- No benchmark scores in our data — chat, coding, reasoning and math quality are all unverified.
- Throughput is thin: only one host discloses speed, the other is unverified in our data.
- OpenMDW 1.1 licence is open-restricted, less permissive than Apache 2.0.
How good is it?
We hold no score for this model.
We look for every model we track on every board we watch, and none of them has turned up Laguna XS 2.1 — so there is no intelligence, coding, agentic or writing score to show you, not a low one, none.
Can you run it yourself?
- Fits in memory
- weights load entirely on the card
- Spills to system RAM
- some weights offload; much slower
- Too large
- will not load even with offload
- est
- size is calculated; the verdict could change by 10%
Comfortable fit
GeForce RTX 4090 · 24 GB
Room to spare. 0.4 GB spare means a 10% error in the size would not change the answer.
GeForce RTX 5090 · 32 GB
Room to spare. 8.4 GB spare means a 10% error in the size would not change the answer.
Apple M1 Pro (16-core GPU) · 32 GB
Room to spare. 1.6 GB spare means a 10% error in the size would not change the answer.
Memory use by level
Against a 24 GB card.
Check against your own machine → · All 71 devices, with every size →
Or rent it from someone else
Cheapest of 2 live listings. Picked at the widest standard context we hold, within one quantisation slice, so the numbers beside it are a price one host actually charges.
- per 1M tokens
- $0.060 in / $0.12 out
- Context served
- 262K
- Throughput
- Not measured
| Provider | In / out per 1M tokens | Context | Throughput | Trains on prompts | Logs prompts | Zero retention |
|---|---|---|---|---|---|---|
| OpenRouter | $0.060 / $0.12 | 262K | not measured | Unknown | Unknown | Unknown |
| Poolsidefp8 | $0.060 / $0.12 | 262K | 196 tok/s | No | Yesunknown period | Unknown |
Across the 2 listings we hold: 1 say they do not train on prompts, 0 say they do and 1 do not say. 0 appear in the zero-retention registry we check; the rest are unknown to us rather than confirmed either way.
What each host's API supports
From the parameter list each endpoint publishes. Streaming is omitted: nothing we hold reports it, for any model.
- ✓
- Supported
- ✗
- Not supported
- Not published
- host gave no parameter list
| Provider | Tool calling | JSON output | Strict schema |
|---|---|---|---|
| OpenRouter | ✓ | ✗ | ✗ |
| Poolsidefp8 | ✓ | ✗ | ✗ |
Tool calling: 2 of 2 listings say yes. JSON output: 0 of 2 listings say yes, 2 say no. Strict schema: 0 of 2 listings say yes, 2 say no.
When we formed this view
Dates behind this page
Prices last checked 3d ago
What we do not know about this model yet
- No board we watch has turned up a score, so we hold no quality figures at all.
- Nothing we hold says whether an endpoint streams, so we do not show it either way.
- 1 of 2 listings do not say whether they train on prompts.
Licence and identifiers
What the licence allowsopenmdw-1.1, what it allows commercially, and the identifiers you need to pull this model — its Hugging Face repo, our slug and a machine-readable card.
Licence
openmdw-1.1
License tag "openmdw-1.1" imported from Hugging Face; terms pending curation.
Identifiers
- Hugging Face
- poolside/Laguna-XS-2.1
- Architecture
- Mixture of experts
- Modality record
- text->text
- Catalogue slug
- poolside-laguna-xs-2-1