Poolside
UnrankedEnough results for an index.Laguna XS 2.1
Laguna XS 2.1 is a reasoning model from Poolside in the Laguna family. It has 3 scored results in 2 categories. It has no index.
IndexAll categories, out of 100.UnrankedMedian 51.0
CoverageIndex weight that has results.40%
SpeedOutput tokens per second.134/sMedian 67/s
First tokenSeconds to the first output token.0.3 sMedian 1.3 s
Input / 1MUS dollars per 1M input tokens.$0.06Median $0.60
Output / 1MUS dollars per 1M output tokens.$0.12Median $2.55
ContextMaximum tokens in one request.262KMedian 262K
EloLMArena rating and rank.—Median 1422
Details
From OpenRouter- API IDThe model ID on OpenRouter.
poolside/laguna-xs-2.1- Max outputMaximum output tokens per request.
- 33K
- Knowledge cutoffLast date of training data.
- —
- ToolsTool calls on OpenRouter.
- Yes
- JSON outputOutput follows a given JSON schema.
- No
- Cache read / 1MUS dollars per 1M cached tokens.
- $0.03
- WeightsLink to the published weights.
- Hugging Face (opens in a new tab) ↗
- RetiresDate OpenRouter removes the model.
- 31 Oct 2026
Capabilities
Index per category, out of 100.Results
3 countedBenchmarkThe benchmark name.ResultThe score from the source.PlacePlace among results on this benchmark.
Sources
BenchLMCC BY-NC 4.0OpenRouterTerms restrict reuseHistory
5 releases23 Oct 202612 Nov 2026
Questions
- How much does Laguna XS 2.1 cost?
- $0.06 per 1M input tokens, $0.12 per 1M output tokens. A free tier is also available.
- How fast is Laguna XS 2.1?
- 134 output tokens per second, 0.3 s to the first token.
- What is the context window of Laguna XS 2.1?
- 262K tokens.
- Is Laguna XS 2.1 open source?
- Yes. Its weights are published.
- When was Laguna XS 2.1 released?
- July 2026.