Capability
Unranked
field median 58.1
Not eligible for a public rank
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Data as of September 4, 2026 · How the score is built
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Agentic ranks #77. Particularly useful for coding agents, browser research, and computer-use workflows.
6 published rows leave some tracked benchmark slots empty. Independent runtime speed has not been measured.
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.
Capability
Unranked
field median 58.1
Not eligible for a public rank
Price
$0.10input / $0.20 output
input median $1
cached $0.010 · blended $0.15
Speed
Not measured
field median 92 tok/s
Time to first token not measured
Context
1Mtokens
field median 256,000
Reported for this model; direct source link not stored
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.
Each documented value carries its source. Missing fields stay visible as not sourced or not published, rather than disappearing from the page.
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 parametersScores 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 #77 of 151Percentile 49thWeight 22%2 benchmarksVerified | 48.2 | #77 of 151 | 49th | 22% | 2 benchmarks | Verified |
| CodingRank #87 of 183Percentile 53rdWeight 20%4 benchmarksVerified | 47.8 | #87 of 183 | 53rd | 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 |
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.
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| SWE-bench Pro | Score59.4% | Versus best verified row Best verified: Claude Fable 5.1 · 81.2% | Gap21.8 behind | WeightWeighted 25% | Provider exact |
| SWE Multilingual | Score78.5% | Versus best verified row Best verified: Claude Opus 5 · 89.5% | Gap11 behind | WeightWeighted 5% | Provider exact |
| Terminal-Bench 2.0 | Score70.2% | Versus best verified row Best verified: GPT-5.6 Sol · 91.9% | Gap21.7 behind | WeightDisplay only | Provider exact |
| deepSwe | Score40.4% | Versus best verified row Best verified: Muse Spark 1.3 · 75.4% | Gap35 behind | WeightDisplay only | Provider exact |
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| Terminal-Bench 2.0 | Score70.2% | Versus best verified row Best verified: GPT-5.6 Sol · 91.9% | Gap21.7 behind | WeightWeighted 30% | Provider exact |
| Toolathlon-Verified | Score49.7% | Versus best verified row Best verified: Claude Opus 5 · 80.6% | Gap30.9 behind | WeightDisplay only | Provider exact |
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 M.1Score 4.5 · Price not listed
Jul 21, 2026 · you are here
Laguna S 2.1Not publicly ranked · $0.1 / $0.2
s-2-1 · 118B-A8B
The visual layer above carries the decisions. These notes preserve the model, ranking, coverage, and family context behind the numbers.
We track Laguna S 2.1, but the public leaderboard excludes this profile until enough non-generated benchmark coverage is available. Only published rows appear above.
Laguna S 2.1 is a open weight model with a 1M context window. It uses an explicit reasoning mode, which can improve complex problem solving while adding latency and token use.
Open weights under OpenMDW-1.1 are available on Hugging Face. Poolside also lists hosted access through OpenRouter, Baseten, Kilo, and its pool coding agent.
Official exact-value snapshot from Poolside's July 21, 2026 launch post and matching Hugging Face model card. We map Terminal-Bench 2.1 to the existing Terminal-Bench key, plus SWE-bench Multilingual, SWE-bench Pro, DeepSWE v1.1, and Toolathlon Verified. Poolside also reports 46.2% on SWE Atlas (Codebase QnA), which remains outside the model-row schema. Poolside reports max-thinking results from its pool harness; benchmark-specific attempt counts and setup differences make these provider-reported rather than benchmark-native values.
Laguna S 2.1 sits in the Laguna family with Laguna M.1, Laguna XS.2. Its explicit predecessor is Laguna M.1. 6 of 422 tracked benchmark slots currently have displayable evidence. Missing categories stay blank.
Its strongest eligible category is Agentic at #77, while its lowest eligible position is Coding at #87. particularly useful for coding agents, browser research, and computer-use workflows.
Poolside · Model release
Radar confirmed these at the source. Already tracking Laguna S 2.1? See the free Radar Brief for what changes next.
Laguna S 2.1 has 6 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.
Laguna S 2.1 ranks #87 out of 183 eligible models for coding and programming, with a public category score of 47.8/100. 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.
Laguna S 2.1 ranks #77 out of 151 eligible models for agentic tool use and computer tasks, with a public category score of 48.2/100. 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.
Laguna S 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.
Laguna S 2.1 belongs to the Laguna family. Related tracked variants include 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.
No. Laguna S 2.1 currently has 6 source-displayable rows across 422 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.
Laguna S 2.1 has a reported context window of 1M 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.
Related resources
Last updated September 4, 2026. Runtime fields remain blank until a sourced snapshot exists.
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