Holo3-122B-A10B vs Laguna XS.2

Pick Holo3-122B-A10B if you want the stronger benchmark profile. Laguna XS.2 only becomes the better choice if you want the cheaper token bill or you need the larger 131K context window.

Holo3-122B-A10B is clearly ahead on the provisional aggregate, 94 to 37. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.

Holo3-122B-A10B's sharpest advantage is in agentic, where it averages 78.9 against 35.7.

Holo3-122B-A10B is also the more expensive model on tokens at $0.40 input / $3.00 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for Laguna XS.2. That is roughly Infinityx on output cost alone. Laguna XS.2 is the reasoning model in the pair, while Holo3-122B-A10B is not. That usually helps on harder chain-of-thought-heavy tests, but it can also mean more latency and more token spend in real use. Laguna XS.2 gives you the larger context window at 131K, compared with 64K for Holo3-122B-A10B.