Head-to-head comparison across 1benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Laguna M.1
44
ZAYA1-74B-Preview
54
Pick ZAYA1-74B-Preview if you want the stronger benchmark profile. Laguna M.1 only becomes the better choice if coding is the priority.
Coding
+3.2 difference
Laguna M.1
ZAYA1-74B-Preview
$0.2 / $0.4
$0 / $0
N/A
N/A
N/A
N/A
256K
256K
Pick ZAYA1-74B-Preview if you want the stronger benchmark profile. Laguna M.1 only becomes the better choice if coding is the priority.
ZAYA1-74B-Preview is clearly ahead on the provisional aggregate, 54 to 44. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Laguna M.1 is also the more expensive model on tokens at $0.20 input / $0.40 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for ZAYA1-74B-Preview. That is roughly Infinityx on output cost alone.
ZAYA1-74B-Preview is ahead on BenchLM's provisional leaderboard, 54 to 44. The biggest single separator in this matchup is SWE-bench Verified, where the scores are 72.5% and 53.2%.
Laguna M.1 has the edge for coding in this comparison, averaging 56.4 versus 53.2. Inside this category, SWE-bench Verified is the benchmark that creates the most daylight between them.
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