Capability
1.5/100
field median 56.2
#232 of 232 ranked models
Superseded.Poolside has newer models in this line:Laguna XS 2.1
Laguna XS.2
Released Apr 28, 2026 — see all recent releases
Decision reading
Laguna XS.2 scores 1.5 out of 100 and ranks #232 of 232. This profile shows 10 source-displayable benchmark rows; its strongest eligible category is Coding at #148. Published weights can be self-hosted, but infrastructure cost varies and is not a comparable API token rate.
Data as of September 10, 2026 · How the score is built
Share or export
Strongest published evidence
Coding ranks #148. Particularly well-suited for software development and code generation tasks.
Validate before choosing
10 published rows leave some tracked benchmark slots empty. No comparable first-party API token rate is published.
Decision snapshot
Each value carries a field reference instead of floating alone. Markers compare this model with the current ranked and priced catalog; they are not absolute quality thresholds.
Price
Self-hosted; infrastructure cost varies
input median $1
No comparable first-party hosted token rate
Speed
Not measured
field median 86.5 tok/s
Time to first token not measured
Context
256Ktokens
field median 256,000
Reported for this model; direct source link not stored
Capability shape
Each axis shows percentile within that category’s eligible cohort. The comparison outline is the median of the six nearest public-score peers; a collapsed vertex means the category is not rank-eligible.
Laguna XS.2 category percentile values
- Agentic2nd percentile
- Coding2nd percentile
- ReasoningNot eligible
- Knowledge0th percentile
- MathNot eligible
- MultilingualNot eligible
- MultimodalNot eligible
- Instruction followingNot eligible
The dashed outline is median of 6 nearest peers.
Eligible category ranks
- Agentic#149/152
- Coding#148/151
- ReasoningNot ranked
- Knowledge#183/183
- MathNot ranked
- MultilingualNot ranked
- MultimodalNot ranked
- Inst. FollowingNot ranked
Top decileTop quartileMid-fieldNot eligible
How much of this is verified
Coverage is split by category so a strong number never hides a thin evidence base. Verified means the row is tied to a published source; provisional rows remain visible but separate.
- Agentic2/2 verified
- Coding6/6 verified
- ReasoningNot measured
- Knowledge2/2 verified
- MathNot measured
- MultilingualNot measured
- MultimodalNot measured
- Inst. FollowingNot measured
Verified sourceProvisionalNot measured
Spec sheet
Each documented value carries its source. Missing fields stay visible as not sourced or not published, rather than disappearing from the page.
- API model ID
- Not published
- Context window
- 256K
- Maximum output
- Not sourced yet
- Knowledge cutoff
- Not sourced yet
- Input modalities
- Not sourced yet
- Output modalities
- Not sourced yet
- Parameters
- Not sourced yet
- Availability
- Open weights are available on Hugging Face under Apache 2.0, and hosted inference is available through Poolside API and OpenRouter.
- Cloud regions
- Not tracked yet
- Lifecycle
- Superseded
- API capabilities
- Tool calling, structured outputs, and batch support are not tracked yet
- Prompt caching
- Not documented in the pricing record
- Self-host
- Open weights available; hardware estimate not sourced
- Rate limits
- Not tracked yet
Deployment options
Self-host and provider-specific paths stay separate from benchmark evidence so operating constraints are visible before a score becomes the whole decision.
Published weights are available, but BenchLM does not yet have a sourced parameter and VRAM profile for this exact model. Hardware cost estimates stay unavailable until that sizing record is complete.
Estimate VRAM from known parametersCategory score record
Scores and ranks appear only where published evidence can be displayed. The table keeps the score, weight, cohort, and evidence state together.
| Category | Score | Rank | Percentile | Weight | Benchmarks | Evidence |
|---|---|---|---|---|---|---|
| AgenticRank #149 of 152Percentile 2ndWeight 22%2 benchmarksVerified | 22.4 | #149 of 152 | 2nd | 22% | 2 benchmarks | Verified |
| CodingRank #148 of 151Percentile 2ndWeight 20%6 benchmarksVerified | 24.7 | #148 of 151 | 2nd | 20% | 6 benchmarks | Verified |
| ReasoningWeight 17%0 benchmarksNot measured | Not measured | Not ranked | Not available | 17% | 0 benchmarks | Not measured |
| KnowledgeRank #183 of 183Percentile 0thWeight 12%2 benchmarksVerified | 17.7 | #183 of 183 | 0th | 12% | 2 benchmarks | Verified |
| MathWeight 5%0 benchmarksNot measured | Not measured | Not ranked | Not available | 5% | 0 benchmarks | Not measured |
| MultilingualWeight 7%0 benchmarksNot measured | Not measured | Not ranked | Not available | 7% | 0 benchmarks | Not measured |
| MultimodalWeight 12%0 benchmarksNot measured | Not measured | Not ranked | Not available | 12% | 0 benchmarks | Not measured |
| Inst. FollowingWeight 5%0 benchmarksNot measured | Not measured | Not ranked | Not available | 5% | 0 benchmarks | Not measured |
Benchmark ledger
Coding opens by default. The marker compares each value with the best source-verified result in the catalog; provisional leaders do not set the reference. Expand the remaining categories for every published row.
Coding6 rows
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| SWE-bench Pro | Score46.3% | Versus best verified row Best verified: Claude Fable 5.1 · 81.2% | Gap34.9 behind | WeightWeighted 25% | Provider exact |
| LiveCodeBench (Vals)LiveCodeBench, Vals AI run | Score67.8% | Versus best verified row Best verified: Claude Fable 5.1 · 90.5% | Gap22.7 behind | WeightWeighted 15% | |
| SWE-bench VerifiedSoftware Engineering Benchmark Verified | Score69.9% | Versus best verified row Best verified: Claude Opus 5 · 96% | Gap26.1 behind | WeightWeighted 10% | Provider exact |
| SWE Multilingual | Score57.7% | Versus best verified row Best verified: Claude Opus 5 · 89.5% | Gap31.8 behind | WeightWeighted 5% | Provider exact |
| Terminal-Bench 2.0 | Score35.7% | Versus best verified row Best verified: GPT-5.6 Sol · 91.9% | Gap56.2 behind | WeightDisplay only | Provider exact |
| SWE-bench (Vals)SWE-bench, Vals AI run | Score55.2% | Versus best verified row Best verified: Claude Opus 5 · 97.0% | Gap41.8 behind | WeightDisplay only | Verified |
Agentic2 rows
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| Terminal-Bench 2.0 | Score35.7% | Versus best verified row Best verified: GPT-5.6 Sol · 91.9% | Gap56.2 behind | WeightWeighted 30% | Provider exact |
| Terminal-Bench 2.1 (Vals)Terminal-Bench 2.1, Vals AI run | Score25.8% | Versus best verified row Best verified: GPT-6 Astra · 87.3% | Gap61.5 behind | WeightDisplay only |
Knowledge2 rows
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| MMLU-Pro (Vals)MMLU-Pro, Vals AI run | Score69.1% | Versus best verified row Best verified: Claude Fable 5.1 · 92.4% | Gap23.3 behind | WeightWeighted 10% | Verified |
| GPQA Diamond (Vals)GPQA Diamond, Vals AI run | Score55.1% | Versus best verified row Best verified: Gemini 3.1 Pro · 95.5% | Gap40.4 behind | WeightDisplay only |
Lineage
The sequence follows explicit supersedes links. A successor's displayed score stays at least 0.1 points above its predecessor; raw benchmark rows do not move. Scores and prices remain blank when the corresponding public row or first-party rate is unavailable.
Apr 28, 2026 · you are here
Laguna XS.2Score 1.5 · Price not listed
Jul 2, 2026
Laguna XS 2.1Not publicly ranked · $0.1 / $0.2
Xs-2
How to read this profile
The visual layer above carries the decisions. These notes preserve the model, ranking, coverage, and family context behind the numbers.
Laguna XS.2 ranks #232 of 232 on the public leaderboard with a score of 1.53/100. It does not yet have enough sourced coverage for a verified position.
Laguna XS.2 is a open weight model with a 256K context window. It uses an explicit reasoning mode, which can improve complex problem solving while adding latency and token use.
Open weights are available on Hugging Face under Apache 2.0, and hosted inference is available through Poolside API and OpenRouter.
Official exact-value snapshot from Poolside's May 26, 2026 Laguna M.1/XS.2 technical report. BenchLM maps SWE-bench Verified, SWE-Bench Pro, and Terminal-Bench 2.0 into the weighted schema; SWE-bench Multilingual is stored as a provider display row because it is not currently a weighted core benchmark. The Hugging Face Laguna XS.2 collection lists the Apache 2.0 open-weight release and quantized variants.
Laguna XS.2 sits in the Laguna family with Laguna S 2.1, Laguna M.1, Laguna XS 2.1. 10 of 434 tracked benchmark slots currently have displayable evidence. Missing categories stay blank.
Its strongest eligible category is Coding at #148, while its lowest eligible position is Knowledge at #183. particularly well-suited for software development and code generation tasks.
Radar
Full release historyLaguna XS.2 release history
Laguna released
Poolside · Model release
Source confirmed
Radar confirmed these at the source. Use Laguna XS.2 in your work? Explore Radar to follow supported changes and choose your alerts.
Frequently asked questions
How does Laguna XS.2 perform overall in AI benchmarks?
Laguna XS.2 ranks #232 out of 232 models on the public BenchAlign leaderboard, with a score of 1.53/100. Its evidence status is Estimated, and this profile shows 10 source-displayable benchmark rows. The label describes evidence depth, not a provider quality claim; inspect category rows before choosing a workload.
Is Laguna XS.2 good for knowledge and understanding?
Laguna XS.2 ranks #183 out of 183 eligible models for knowledge and understanding, with a public category score of 17.7/100. Higher-ranked alternatives are available for workloads where this category decides the choice. Check the underlying rows before treating the aggregate as a workload guarantee.
Is Laguna XS.2 good for coding and programming?
Laguna XS.2 ranks #148 out of 151 eligible models for coding and programming, with a public category score of 24.7/100. Higher-ranked alternatives are available for workloads where this category decides the choice. Check the underlying rows before treating the aggregate as a workload guarantee.
Is Laguna XS.2 good for agentic tool use and computer tasks?
Laguna XS.2 ranks #149 out of 152 eligible models for agentic tool use and computer tasks, with a public category score of 22.4/100. Higher-ranked alternatives are available for workloads where this category decides the choice. Check the underlying rows before treating the aggregate as a workload guarantee.
Is Laguna XS.2 open source?
Laguna XS.2 is an open-weight model from Poolside. Its weights can be downloaded for local or hosted deployment, subject to the published license. Open weight does not automatically mean open source: training data and training code may remain private, and commercial restrictions can still apply.
Which sibling models are related to Laguna XS.2?
Laguna XS.2 belongs to the Laguna family. Related tracked variants include Laguna S 2.1, Laguna M.1, Laguna XS 2.1. A sibling link indicates shared lineage or a documented configuration relationship; it does not mean the variants have identical pricing, context limits, benchmark evidence, or deployment behavior. Compare before switching.
Does Laguna XS.2 have full benchmark coverage on BenchLM?
No. Laguna XS.2 currently has 10 source-displayable rows across 434 tracked benchmark slots. The profile exposes published, non-generated evidence and leaves missing categories blank until an exact evaluation is available. Coverage describes how much was measured; it is not a penalty added to an individual benchmark result.
What is the context window size of Laguna XS.2?
Laguna XS.2 has a reported context window of 256K in the exact-model catalog record. The value stays visible, but the profile marks its source link as unavailable instead of presenting it as directly documented. Maximum output length remains separate because providers often publish a different limit.
Compare Laguna XS.2 with every tracked model482 comparisons
Last updated September 10, 2026. Runtime fields remain blank until a sourced snapshot exists.
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