Laguna S 2.1
Not tested yet
Language modelActive
Laguna S 2.1
Poolside
- Released
- July 13, 2026
- Data date
- September 8, 2026
- Intelligence
- Overall score
- Price
- Input · Output / 1M tokens
- Input
- Text
- Output
- Text
No published category-wide ranking is available for this model.
Entries 1-6 of 6. Page 1 of 1.
Measurements without matching peer values
These measurements have no matching peer values under the same test conditions. Their original values and sources remain available here.
Terminal-Bench 2.1 (Show measurement, test conditions, and source)
- Source value
- 70.2
- Score
- 70.2
- Metric
- percent
- Unit
- %
- Category
- coding
- Direction
- Higher is better
- Comparison cohort
- research:laguna-s-2.1:0
- Source type
- vendor-reported
- Evaluator
- Poolside Laguna S 2.1 model card
- Status
- active
- Retrieved at
- 2026-09-08
- Methodology
- Vendor-reported result. Harbor Framework with Poolside agent harness; table dated July 21, 2026; exact sampling details in card.
SWE-bench Multilingual (Show measurement, test conditions, and source)
- Source value
- 78.5
- Score
- 78.5
- Metric
- percent
- Unit
- %
- Category
- coding
- Direction
- Higher is better
- Comparison cohort
- research:laguna-s-2.1:1
- Source type
- vendor-reported
- Evaluator
- Poolside Laguna S 2.1 model card
- Status
- active
- Retrieved at
- 2026-09-08
- Methodology
- Vendor-reported result. Harbor Framework with Poolside agent harness; table dated July 21, 2026.
SWE-Bench Pro (Public Dataset) (Show measurement, test conditions, and source)
- Source value
- 59.4
- Score
- 59.4
- Metric
- percent
- Unit
- %
- Category
- coding
- Direction
- Higher is better
- Comparison cohort
- research:laguna-s-2.1:2
- Source type
- vendor-reported
- Evaluator
- Poolside Laguna S 2.1 model card
- Status
- active
- Retrieved at
- 2026-09-08
- Methodology
- Vendor-reported result. Harbor Framework with Poolside agent harness; table dated July 21, 2026.
DeepSWE (Show measurement, test conditions, and source)
- Source value
- 40.4
- Score
- 40.4
- Metric
- percent
- Unit
- %
- Category
- coding
- Direction
- Higher is better
- Comparison cohort
- research:laguna-s-2.1:3
- Source type
- vendor-reported
- Evaluator
- Poolside Laguna S 2.1 model card
- Status
- active
- Retrieved at
- 2026-09-08
- Methodology
- Vendor-reported result. Harbor Framework with Poolside agent harness; table dated July 21, 2026.
SWE Atlas (Codebase QnA) (Show measurement, test conditions, and source)
- Source value
- 46.2
- Score
- 46.2
- Metric
- percent
- Unit
- %
- Category
- coding
- Direction
- Higher is better
- Comparison cohort
- research:laguna-s-2.1:4
- Source type
- vendor-reported
- Evaluator
- Poolside Laguna S 2.1 model card
- Status
- active
- Retrieved at
- 2026-09-08
- Methodology
- Vendor-reported result. Harbor Framework with Poolside agent harness; table dated July 21, 2026.
Toolathlon Verified (Show measurement, test conditions, and source)
- Source value
- 49.7
- Score
- 49.7
- Metric
- percent
- Unit
- %
- Category
- agentic
- Direction
- Higher is better
- Comparison cohort
- research:laguna-s-2.1:5
- Source type
- vendor-reported
- Evaluator
- Poolside Laguna S 2.1 model card
- Status
- active
- Retrieved at
- 2026-09-08
- Methodology
- Vendor-reported result. Harbor Framework with Poolside agent harness; table dated July 21, 2026.
Our model tests
Community tests you can inspect
Compare how the models respond to the same prompt. Each test shows the first attempt, with no subsequent fixes to the generated code. These results do not contribute to an overall score.
Pelican on a bicycle
A community classic for free-form SVG drawing.
Prompt and test conditions
Generate an SVG of a pelican riding a bicycle
Token limit including reasoning: 8,192 tokens
Task origin (Simon Willison)Profile
Specifications and access
Published information about this model. Existing estimates are explicitly labeled.
Additional source observations
Dated documentation and model-card observations. Provider limits, native context and extended context can differ. Configuration notes retain the source wording.
- License
- OpenMDW-1.1Source
- Parameters
- 118 BSource
- Active parameters
- 8 BSource
- Architecture
- sparse MoE, 48 layers (12 global and 36 sliding-window attention), 256 routed experts top-10 plus one shared expert, GQASource
- Input
- TextSource
- Output
- TextSource
- Reasoning mode
- interleaved thinking with preserved reasoning; per-request enable_thinking controlSource
- Tool calling
- YesSource
Pricing
Published prices
Prices apply to the stated unit. Resolution, output length, and provider can change the cost.
Cost example
100 API requests
$0.018
100 requests with 1,000 input and 500 output tokens each calculate to $0.018. Input accounts for $0.009; output accounts for $0.009.
- Input price
- $0.09 / 1M tokensBase tier for each request
- Output price
- $0.18 / 1M tokensBase tier for each request
The calculation uses documented token prices and no cache discount. It excludes extra tools, tax, reasoning tokens, and further hidden output tokens.
Open sourceHead-to-head comparisons
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There are no published direct comparisons for this model yet.
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Evidence
Sources and data date
Every statement links to its underlying documentation or leaderboard.
- Price
Base API prices without caching or batch discounts. Higher context tiers and other rates are listed under Costs.
- Input
Documented modalities. Retrieved September 8, 2026.
- Output
Documented modalities. Retrieved September 8, 2026.
Research date September 8, 2026. 2 source URLs checked. This documents the inspected sources, not an exhaustive inventory of every publication.
Open evidence questions and research notes (original wording)
Not found in the inspected sources
knowledge-cutoff. The exact model card does not publish a training-data cutoff.
Unresolved
AA benchmark rows. No exact Artificial Analysis model page located in the checked public sitemap.