Poolside
Laguna S 2.1
Tool callingReasoning
Agentic coding model from Poolside in the XS size class for local deployment
- Context
- 1.0M
- Released
- 2mo ago
- Parameters
- —
- Input / 1M tokens
- $0.09
- Output / 1M tokens
- $0.18
- Cached input / 1M tokens
- $0.009
Sources:models.devOpenRouter
Benchmarks
DeepSWE is the primary coding benchmark where an exact model evaluation exists. Other sourced evaluations appear below; missing scores are not zero.
Not evaluated in DeepSWE 1.1 as of 2026-09-22. Results are only shown for exact model versions in the official dataset. Official leaderboard.
No benchmark results have been matched to this model yet.
Specifications
- Developer
- Poolside
- Model family
- —
- Type
- Language model
- Predecessor
- —
- Successor
- —
- Released
- July 21, 2026
- Model ID
poolside/laguna-s-2.1- Openness
- Open weights
- License
- —
- Parameters
- —
- Input modalities
- text
- Output modalities
- text
- Modality
- text->text
- Native context
- 1M
- Tokenizer
- Other
- Max output tokens
- 131K
- Hugging Face
- poolside/Laguna-S-2.1
- Source freshness
- Metadata synced Oct 8, 2026, 10:17 PM UTC
Additional source evidence
- Source model
- poolside/laguna-s-2.1
- Source family
- laguna
- Last updated
- 2026-07-21
- Model context
- 1.0M
- Model output limit
- 33K
- Open weights
- Yes
- File attachments
- No
- Reasoning
- Yes
- Tool calling
- Yes
- Structured output
- No
- Temperature control
- Yes
Complete source record (JSON)
{
"id": "poolside/laguna-s-2.1",
"name": "Laguna S 2.1",
"description": "Agentic coding model from Poolside in the XS size class for local deployment",
"family": "laguna",
"last_updated": "2026-07-21",
"attachment": false,
"reasoning": true,
"tool_call": true,
"structured_output": false,
"temperature": true,
"modalities": {
"input": [
"text"
],
"output": [
"text"
]
},
"limit": {
"context": 1048576,
"output": 32768
},
"release_date": "2026-07-21",
"open_weights": true
}Infrastructure
Provider availability
| Provider | Endpoint | Context | Input /M tokens | Output /M tokens | Cached input /M tokens | Cache write /M tokens | Uptime 1d | Data handling |
|---|---|---|---|---|---|---|---|---|
| poolside/fp4 | 1.0M | $0.09 | $0.18 | $0.009 | — | 100.00% | ZDR: NoTraining: Unknown Prompt logging: Unknown Retention: Unknown Checked 2026-10-15 |
Provider data:OpenRouter
Deployment graph
Can I run this?
Vertical Tabs only shows compatibility when it has structured evidence tying this exact model to hardware, runtime, quantization, memory use, and observed performance.