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Laguna M.1

Poolside · 2026-04-28 · 225.8B parameters

Laguna M.1 is Poolside’s 225.8B-total Mixture-of-Experts model for agentic coding and long-horizon work, first released on April 28, 2026. It was trained from scratch on more than 30T pre-training tokens drawn from web, code, and synthetic sources, then post-trained through imitation learning and reinforcement learning. Its Apache-2.0 weights support optional interleaved thinking; the 262,144-token window extrapolates a context trained through 128K by doubling the global-attention RoPE scale without additional training.

Benchmark scores

BenchmarkScore
Arena Code WebDev — Brand & Marketing1354
Arena Code WebDev — Consumer Product1377
Arena Code WebDev — Content Creation Tools1352
Arena Code WebDev — Data & Analytics1358
Arena Code WebDev — Gaming1335
Arena Code WebDev — HTML1325
Arena Code WebDev — React1340
Arena Code WebDev — Reference-Based Design1348
Arena Code WebDev — Simulations1328
BuseyBench SVG2.6
Capability138.1
CorpFin v258.2
CorpFin v2 - Exact Pages61.0
CorpFin v2 - Max Fitting Context57.0
CorpFin v2 - Shared Max Context56.5
Eval Connections35.0
Eval Connections — Guess Accuracy38.0
Finance Agent v225.0
Finance Agent v2 - Adjustments15.8
Finance Agent v2 - All Pass14.4
Finance Agent v2 - Comparables28.0
Finance Agent v2 - Disclosure Analysis30.5
Finance Agent v2 - Earnings Analysis25.9
Finance Agent v2 - Financial Modeling2.6
Finance Agent v2 - General Qualitative Analysis36.5
Finance Agent v2 - General Quantitative Analysis39.3
Finance Agent v2 - Market Analysis35.6
Finance Agent v2 - Precedents11.1
Finance Agent v2 (Vals Index subset)24.6
GBENCH One-shot Coding GScore22.2
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