Capability
Unranked
field median 56.2
Not eligible for a public rank
Laguna XS 2.1
Released Jul 2, 2026 — see all recent releases
Decision reading
Laguna XS 2.1 is tracked, but not publicly ranked yet. The profile exposes 5 sourced benchmark rows and leaves unsupported fields blank until a published record exists.
Data as of September 10, 2026 · How the score is built
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Strongest published evidence
Published rows are visible, but no category has enough eligible evidence for a comparative rank.
Validate before choosing
5 published rows leave some tracked benchmark slots empty. Independent runtime speed has not been measured.
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
$0.10input / $0.20 output
input median $1
cached $0.050 · blended $0.15
Speed
Not measured
field median 86.5 tok/s
Time to first token not measured
Context
262Ktokens
field median 256,000
Maximum output length is tracked separately
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.
- Agentic1/1 verified
- Coding4/4 verified
- ReasoningNot measured
- KnowledgeNot measured
- 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
- poolside/Laguna-XS-2.1Poolside Laguna XS 2.1 launch post
- Context window
- 262KPoolside Laguna XS 2.1 launch post
- 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
- Poolside publishes the 33B-total, 3B-active MoE weights under OpenMDW-1.1 on Hugging Face with a 262,144-token context window and native interleaved thinking, and serves it through the Poolside API and OpenRouter (free for a limited time at launch).
- Cloud regions
- Not tracked yet
- Lifecycle
- Current
- API capabilities
- Tool calling, structured outputs, and batch support are not tracked yet
- Prompt caching
- Published at $0.050 per million cached input tokensPoolside Laguna XS 2.1 launch post
- 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 Not rankedWeight 22%1 benchmarkVerified | 20.5 | Not ranked | Not available | 22% | 1 benchmark | Verified |
| CodingRank Not rankedWeight 20%4 benchmarksVerified | 28.1 | Not ranked | Not available | 20% | 4 benchmarks | Verified |
| ReasoningWeight 17%0 benchmarksNot measured | Not measured | Not ranked | Not available | 17% | 0 benchmarks | Not measured |
| KnowledgeWeight 12%0 benchmarksNot measured | Not measured | Not ranked | Not available | 12% | 0 benchmarks | Not measured |
| 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.
Coding4 rows
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| SWE-bench Pro | Score47.6% | Versus best verified row Best verified: Claude Fable 5.1 · 81.2% | Gap33.6 behind | WeightWeighted 25% | Provider exact |
| SWE-bench VerifiedSoftware Engineering Benchmark Verified | Score70.9% | Versus best verified row Best verified: Claude Opus 5 · 96% | Gap25.1 behind | WeightWeighted 10% | Provider exact |
| SWE Multilingual | Score63.1% | Versus best verified row Best verified: Claude Opus 5 · 89.5% | Gap26.4 behind | WeightWeighted 5% | Provider exact |
| Terminal-Bench 2.0 | Score37.5% | Versus best verified row Best verified: GPT-5.6 Sol · 91.9% | Gap54.4 behind | WeightDisplay only | Provider exact |
Agentic1 row
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| Terminal-Bench 2.0 | Score37.5% | Versus best verified row Best verified: GPT-5.6 Sol · 91.9% | Gap54.4 behind | WeightWeighted 30% | Provider exact |
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
Laguna XS.2Score 1.5 · Price not listed
Jul 2, 2026 · you are here
Laguna XS 2.1Not publicly ranked · $0.1 / $0.2
Xs
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.
We track Laguna XS 2.1, but the public leaderboard excludes this profile until enough non-generated benchmark coverage is available. Only published rows appear above.
Laguna XS 2.1 is a open weight model with a 262K context window. It uses an explicit reasoning mode, which can improve complex problem solving while adding latency and token use.
Poolside publishes the 33B-total, 3B-active MoE weights under OpenMDW-1.1 on Hugging Face with a 262,144-token context window and native interleaved thinking, and serves it through the Poolside API and OpenRouter (free for a limited time at launch).
Official exact-value snapshot from the Laguna XS 2.1 Hugging Face model card and July 2, 2026 launch post. BenchLM maps SWE-bench Verified, SWE-bench Multilingual, SWE-Bench Pro (public dataset), and Terminal-Bench 2.0 onto their existing lanes; the Terminal-Bench 2.0 value is provider-run and is blocklisted from the weighted lane. Competitor columns in Poolside’s table are context only and are not written onto other models.
Laguna XS 2.1 sits in the Laguna family with Laguna S 2.1, Laguna M.1, Laguna XS.2. Its explicit predecessor is Laguna XS.2. 5 of 434 tracked benchmark slots currently have displayable evidence. Missing categories stay blank.
Radar
Full release historyLaguna XS 2.1 release history
Laguna XS 2.1 released
Poolside · Model release
Source confirmed
Radar confirmed these at the source. Use Laguna XS 2.1 in your work? Explore Radar to follow supported changes and choose your alerts.
Frequently asked questions
How does Laguna XS 2.1 perform overall in AI benchmarks?
Laguna XS 2.1 has 5 source-displayable benchmark rows, but it does not qualify for a public overall rank. The available rows remain visible by category without being converted into a site-wide score. Missing evidence stays blank instead of being estimated from an earlier model.
Is Laguna XS 2.1 good for coding and programming?
Laguna XS 2.1 has source-displayable benchmark coverage for coding and programming, but the public category table does not assign it a rank there. The individual rows remain available for inspection. A missing category position means the evidence threshold was not met; it does not convert the model's unmeasured work into a zero.
Is Laguna XS 2.1 good for agentic tool use and computer tasks?
Laguna XS 2.1 has source-displayable benchmark coverage for agentic tool use and computer tasks, but the public category table does not assign it a rank there. The individual rows remain available for inspection. A missing category position means the evidence threshold was not met; it does not convert the model's unmeasured work into a zero.
Is Laguna XS 2.1 open source?
Laguna XS 2.1 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 2.1?
Laguna XS 2.1 belongs to the Laguna family. Related tracked variants include Laguna S 2.1, Laguna M.1, Laguna XS.2. 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 2.1 have full benchmark coverage on BenchLM?
No. Laguna XS 2.1 currently has 5 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 2.1?
Laguna XS 2.1 has a documented context window of 262K. That figure is the maximum combined prompt and retained-conversation space reported for this exact model; it is not the maximum output length. The profile keeps output limits separate because providers often publish those limits independently.
Compare Laguna XS 2.1 with every tracked model482 comparisons
Last updated September 10, 2026. Runtime fields remain blank until a sourced snapshot exists.
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