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ModelScale

Laguna S 2.1

Poolside · Open Weight · bench-align-v5

Compare this model Model a workload
Canonical idlaguna-s-2-1
Overall scoreUnavailable
Context window1M tokens
Release date2026-07-21
Access typeOpen Weight
Blended $/1M$0.1375% input / 25% output

Capability shape

Seven axes from the ranking source. A missing axis is drawn as a gap.

Capability evidence

Agentic62.9
Coding47.2
KnowledgeUnavailable
ReasoningUnavailable
Multimodal & GroundedUnavailable
Instruction FollowingUnavailable
MathUnavailable

Runtime service evidence

Measured values with the date they were observed. Nothing is inferred from a sibling model or a provider claim.

Time to first token: latency to the first answer chunk (Artificial Analysis, via BenchLM). Reasoning models include thinking time, so values can run to tens or hundreds of seconds.

Evidence key: ObservedUnavailable

Runtime measurements
MeasurementValueObservedLast goodEvidence
Time to first tokenUnavailableUnavailableUnavailable
ThroughputUnavailableUnavailableUnavailable

Regional or per-endpoint measurements appear only when the API supplies them; none are modelled here.

Endpoint and price matrix

Every published price component, including cache reads and writes.

Price components
ComponentUSDEvidence
Input / 1M tokens$0.10
Output / 1M tokens$0.20
Cache read / 1M tokens$0.01
Cache write / 1M tokensUnavailable
Blended / 1M (75% input / 25% output)$0.13
Self-hosted listingPoolside's July 21, 2026 launch post lists the dedicated 1M-context OpenRouter endpoint at $0.10 input / $0.20 output / $0.01 cache-read per million tokens. A separate free endpoint is limited to 256K context.The rates above are a hosted price matched from another provider, not a first-party list price.

Workload-aware monthly cost example

10 conversations per day × 8 messages × 22 active days, 1200 input and 400 output tokens per message, no cache. This uses the same calculator as the cost simulator, so an unavailable applicable rate makes the example unavailable too.

Modelled monthly cost$0.35
Modelled tokens2.82M
Open the simulatorChange this workload

Benchmark record

6 matched benchmark rows with their published value, unit, and provenance.

Coding

Coding benchmarks
BenchmarkValueTasksDifficultyProvenance
Terminal-Bench 2.0
Terminal-Bench 2.0
70.2Terminal-based software tasksProfessional software engineeringTerminal-Bench 2.0
SWE-bench Pro
SWE-bench Pro
59.41,865 repository problemsLong-horizon professional engineeringSWE-Bench Pro: Can AI Agents Solve Long-Horizon Software Engineering Tasks?
SWE Multilingual
SWE Multilingual
78.5Multilingual software-engineering tasksProfessional software engineeringMiniMax M2.7: Early Echoes of Self-Evolution
DeepSWE
DeepSWE
40.4113 software engineering tasks across 91 repositories and 5 languagesLong-horizon software engineeringDeepSWE benchmark blog

Agentic

Agentic benchmarks
BenchmarkValueTasksDifficultyProvenance
Terminal-Bench 2.0
Terminal-Bench 2.0
70.2Terminal-based software tasksProfessional software engineeringTerminal-Bench 2.0
Toolathlon-Verified
Toolathlon-Verified
49.7Verified multi-tool workflowsAdvanced tool useKimi K3: Open Frontier Intelligence

Lifecycle and limitations log

Lifecycle events the source associates with this model, plus what this profile does not claim.

No lifecycle event references this model.

That is not evidence the model has no lifecycle plan — only that this source published none.

What this profile does not claimValues are reproduced exactly as their sources published them, in the units those sources declared; none are converted, interpolated, or averaged across providers. Any field marked unavailable was attempted and not returned — the attempt timestamp is in each badge. Last attempted fetch for this model’s score: 2026-09-17 17:17 UTC.