Head-to-head comparison across 1benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Claude 4 Sonnet
50
Laguna M.1
51
Pick Laguna M.1 if you want the stronger benchmark profile. Claude 4 Sonnet only becomes the better choice if coding is the priority or you need the larger 200K context window.
Coding
+14.1 difference
Claude 4 Sonnet
Laguna M.1
$3 / $15
$0 / $0
40 t/s
N/A
1.33s
N/A
200K
131K
Pick Laguna M.1 if you want the stronger benchmark profile. Claude 4 Sonnet only becomes the better choice if coding is the priority or you need the larger 200K context window.
Laguna M.1 finishes one point ahead on BenchLM's provisional leaderboard, 51 to 50. That is enough to call, but not enough to treat as a blowout. This matchup comes down to a few meaningful edges rather than one model dominating the board.
Claude 4 Sonnet is also the more expensive model on tokens at $3.00 input / $15.00 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 Sonnet 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 Sonnet gives you the larger context window at 200K, compared with 131K for Laguna M.1.
Laguna M.1 is ahead on BenchLM's provisional leaderboard, 51 to 50. The biggest single separator in this matchup is SWE-bench Verified, where the scores are 72.7% and 74.6%.
Claude 4 Sonnet has the edge for coding in this comparison, averaging 72.7 versus 58.6. Inside this category, SWE-bench Verified is the benchmark that creates the most daylight between them.
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