Head-to-head comparison across 1benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Claude 4 Sonnet
51
Laguna M.1
46
Pick Claude 4 Sonnet if you want the stronger benchmark profile. Laguna M.1 only becomes the better choice if you want the cheaper token bill or you want the stronger reasoning-first profile.
Coding
+16.3 difference
Claude 4 Sonnet
Laguna M.1
$3 / $15
$0 / $0
40 t/s
N/A
1.33s
N/A
200K
131K
Pick Claude 4 Sonnet if you want the stronger benchmark profile. Laguna M.1 only becomes the better choice if you want the cheaper token bill or you want the stronger reasoning-first profile.
Claude 4 Sonnet is clearly ahead on the provisional aggregate, 51 to 46. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Claude 4 Sonnet's sharpest advantage is in coding, where it averages 72.7 against 56.4. The single biggest benchmark swing on the page is SWE-bench Verified, 72.7% to 72.5%.
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.
Claude 4 Sonnet is ahead on BenchLM's provisional leaderboard, 51 to 46. The biggest single separator in this matchup is SWE-bench Verified, where the scores are 72.7% and 72.5%.
Claude 4 Sonnet has the edge for coding in this comparison, averaging 72.7 versus 56.4. Inside this category, SWE-bench Verified is the benchmark that creates the most daylight between them.
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