Inference360
Poolside

Laguna S 2.1

Laguna S 2.1 is a reasoning model from Poolside in the Laguna family. 3 benchmarks count toward its score, in 2 categories.

partialShows if the model has enough results for an index.
IndexOverall score out of 100.Unranked
CoverageShare of the index weight with results.40%
SpeedOutput tokens per second.53/s
Input / 1MUS dollars per 1M input tokens.$0.09
Output / 1MUS dollars per 1M output tokens.$0.18
ContextMaximum tokens in one request.1.05M
EloLMArena rating and rank.N/A

The index is a score out of 100. The ± range shows how much it can change. A free tier is available.

CapabilitiesScore per category, out of 100.

Out of 100
AgenticMulti-step tasks with tools.
52.4
CodingCode writing and repair.
61.4
ReasoningLogic problems and puzzles.
N/A
MultimodalTasks with images and text.
N/A
KnowledgeFacts and expert knowledge.
N/A
MultilingualTasks in many languages.
N/A
InstructionTasks with strict rules in the prompt.
N/A
MathMath problems.
N/A

Results

3 counted
BenchmarkThe test name.CategoryThe capability that the test measures.ResultThe score from the publisher.IndexThis result as a score out of 100.RunThe settings of the run.DateDate of the result.Published byThe source of the result.
SWE-bench ProCoding59.4%61.4——Xiang Deng et al.
Toolathlon-VerifiedAgentic49.7%51.7——Moonshot AI
DeepSWEAgentic40.4%53.1——Datacurve AI

3 benchmarks count, from 3 of 3 results. A grey row does not count. Too few models took that benchmark.

Sources

BenchLM benchmark aggregationUsed with attribution; per-benchmark results credited to their original authorsOpenRouter, collected directlyNo licence stated

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