Capability
3.9/100
field median 56.2
#231 of 232 ranked models
Superseded.Poolside has newer models in this line:Laguna S 2.1
Laguna M.1
Released Apr 28, 2026 — see all recent releases
Decision reading
Laguna M.1 scores 3.9 out of 100 and ranks #231 of 232. This profile shows 10 source-displayable benchmark rows; its strongest eligible category is Coding at #140. No comparable first-party API price is published in the catalog.
Data as of September 10, 2026 · How the score is built
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Strongest published evidence
Coding ranks #140. 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
API rate not published
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 M.1 category percentile values
- Agentic3rd percentile
- Coding7th percentile
- ReasoningNot eligible
- Knowledge1st percentile
- MathNot eligible
- MultilingualNot eligible
- MultimodalNot eligible
- Instruction followingNot eligible
The dashed outline is median of 6 nearest peers.
Eligible category ranks
- Agentic#147/152
- Coding#140/151
- ReasoningNot ranked
- Knowledge#182/183
- 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 disclosed by the provider
- Availability
- Available through Poolside API and OpenRouter. Poolside describes Laguna M.1 as a closed-weight flagship coding-agent model.
- 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
- Weights are not published
- Rate limits
- Not tracked yet
Category 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 #147 of 152Percentile 3rdWeight 22%2 benchmarksVerified | 23.9 | #147 of 152 | 3rd | 22% | 2 benchmarks | Verified |
| CodingRank #140 of 151Percentile 7thWeight 20%6 benchmarksVerified | 29.7 | #140 of 151 | 7th | 20% | 6 benchmarks | Verified |
| ReasoningWeight 17%0 benchmarksNot measured | Not measured | Not ranked | Not available | 17% | 0 benchmarks | Not measured |
| KnowledgeRank #182 of 183Percentile 1stWeight 12%2 benchmarksVerified | 18.6 | #182 of 183 | 1st | 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 | Score49.2% | Versus best verified row Best verified: Claude Fable 5.1 · 81.2% | Gap32 behind | WeightWeighted 25% | Provider exact |
| LiveCodeBench (Vals)LiveCodeBench, Vals AI run | Score68.1% | Versus best verified row Best verified: Claude Fable 5.1 · 90.5% | Gap22.4 behind | WeightWeighted 15% | |
| SWE-bench VerifiedSoftware Engineering Benchmark Verified | Score74.6% | Versus best verified row Best verified: Claude Opus 5 · 96% | Gap21.4 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 | Score45.8% | Versus best verified row Best verified: GPT-5.6 Sol · 91.9% | Gap46.1 behind | WeightDisplay only | Provider exact |
| SWE-bench (Vals)SWE-bench, Vals AI run | Score57.6% | Versus best verified row Best verified: Claude Opus 5 · 97.0% | Gap39.4 behind | WeightDisplay only | Verified |
Agentic2 rows
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| Terminal-Bench 2.0 | Score45.8% | Versus best verified row Best verified: GPT-5.6 Sol · 91.9% | Gap46.1 behind | WeightWeighted 30% | Provider exact |
| Terminal-Bench 2.1 (Vals)Terminal-Bench 2.1, Vals AI run | Score34.1% | Versus best verified row Best verified: GPT-6 Astra · 87.3% | Gap53.2 behind | WeightDisplay only |
Knowledge2 rows
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| MMLU-Pro (Vals)MMLU-Pro, Vals AI run | Score68.8% | Versus best verified row Best verified: Claude Fable 5.1 · 92.4% | Gap23.6 behind | WeightWeighted 10% | Verified |
| GPQA Diamond (Vals)GPQA Diamond, Vals AI run | Score27.0% | Versus best verified row Best verified: Gemini 3.1 Pro · 95.5% | Gap68.5 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 M.1Score 3.9 · Price not listed
Jul 21, 2026
Laguna S 2.1Not publicly ranked · $0.1 / $0.2
M-1
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 M.1 ranks #231 of 232 on the public leaderboard with a score of 3.93/100. It does not yet have enough sourced coverage for a verified position.
Laguna M.1 is a proprietary model with a 256K context window. It uses an explicit reasoning mode, which can improve complex problem solving while adding latency and token use.
Available through Poolside API and OpenRouter. Poolside describes Laguna M.1 as a closed-weight flagship coding-agent model.
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.
Laguna M.1 sits in the Laguna family with Laguna S 2.1, Laguna XS.2, 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 #140, while its lowest eligible position is Knowledge at #182. particularly well-suited for software development and code generation tasks.
Radar
Full release historyLaguna M.1 release history
Laguna released
Poolside · Model release
Source confirmed
Radar confirmed these at the source. Use Laguna M.1 in your work? Explore Radar to follow supported changes and choose your alerts.
Frequently asked questions
How does Laguna M.1 perform overall in AI benchmarks?
Laguna M.1 ranks #231 out of 232 models on the public BenchAlign leaderboard, with a score of 3.93/100. 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 M.1 good for knowledge and understanding?
Laguna M.1 ranks #182 out of 183 eligible models for knowledge and understanding, with a public category score of 18.6/100. 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 M.1 good for coding and programming?
Laguna M.1 ranks #140 out of 151 eligible models for coding and programming, with a public category score of 29.7/100. 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 M.1 good for agentic tool use and computer tasks?
Laguna M.1 ranks #147 out of 152 eligible models for agentic tool use and computer tasks, with a public category score of 23.9/100. 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.
Which sibling models are related to Laguna M.1?
Laguna M.1 belongs to the Laguna family. Related tracked variants include Laguna S 2.1, Laguna XS.2, 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 M.1 have full benchmark coverage on BenchLM?
No. Laguna M.1 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 M.1?
Laguna M.1 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 M.1 with every tracked model482 comparisons
Last updated September 10, 2026. Runtime fields remain blank until a sourced snapshot exists.
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