Laguna XS.2 — Benchmarks
Benchmark scores for Laguna XS.2 aggregated from public leaderboards (2 boards), with how it ranks among open models and how it compares with its nearest neighbours. See hardware requirements for what you need to run it.
No llmrun Composite Score for Laguna XS.2: the score is only published for a model measured on at least 4 of the boards in the score panel, spanning at least 2 benchmark categories and including a reasoning or coding board — or on 3 boards that narrow its score to a 90% range of at most 15.6 points. Either way the results must come from at least two different benchmarks. Its individual scores below stand on their own — see how the llmrun Composite Score gets calculated.
Laguna XS.2 coding benchmarks
Writing, editing, and fixing real code — measured by whether the resulting program actually runs and passes tests.
1302.5
1302.5
median 1411.4open leader 1655.2
Overall best: Claude Opus 5.5 (Max) 1807.3
18th percentile · #43 of 52 open · #118 of 138 all
ArenaArena ·
Laguna XS.2 math benchmarks
Symbolic and quantitative problem-solving, from competition math to multi-step calculation.
0.0%
0.0%
median 17.0%open leader 87.0%
Overall best: Claude Fable 5.1 Max 100.0%
4th percentile · #25 of 26 open · #81 of 82 all
Lab-reportedEpoch AI ·
Scores aggregated from public benchmark sources (Epoch AI: 1 board, Arena: 1 board) — each linked from the benchmark pages. llmrun does not run these benchmarks. Percentiles and ranks are among open models in the llmrun catalogue; the median and leader marks refer to the same field.