Claude 4.1 Opus vs Laguna M.1

Treat this as a split decision. Claude 4.1 Opus makes more sense if coding is the priority or you need the larger 200K context window; Laguna M.1 is the better fit if you want the cheaper token bill or you want the stronger reasoning-first profile.

Claude 4.1 Opus and Laguna M.1 finish on the same provisional overall score, so this is less about a single winner and more about where the edge shows up. The provisional headline says tie; the benchmark table is where the real choice happens.

Claude 4.1 Opus is also the more expensive model on tokens at $15.00 input / $75.00 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for Laguna M.1. That is roughly Infinityx on output cost alone. Laguna M.1 is the reasoning model in the pair, while Claude 4.1 Opus 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. Claude 4.1 Opus gives you the larger context window at 200K, compared with 131K for Laguna M.1.