Head-to-head comparison across 1benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Laguna XS.2
37
Mistral Medium 3.5 128B
78
Pick Mistral Medium 3.5 128B if you want the stronger benchmark profile. Laguna XS.2 only becomes the better choice if you want the cheaper token bill.
Coding
+22.5 difference
Laguna XS.2
Mistral Medium 3.5 128B
$0 / $0
$1.5 / $7.5
N/A
N/A
N/A
N/A
131K
256K
Pick Mistral Medium 3.5 128B if you want the stronger benchmark profile. Laguna XS.2 only becomes the better choice if you want the cheaper token bill.
Mistral Medium 3.5 128B is clearly ahead on the provisional aggregate, 78 to 37. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Mistral Medium 3.5 128B's sharpest advantage is in coding, where it averages 77.6 against 55.1. The single biggest benchmark swing on the page is SWE-bench Verified, 69.9% to 77.6%.
Mistral Medium 3.5 128B is also the more expensive model on tokens at $1.50 input / $7.50 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. Mistral Medium 3.5 128B gives you the larger context window at 256K, compared with 131K for Laguna XS.2.
Mistral Medium 3.5 128B is ahead on BenchLM's provisional leaderboard, 78 to 37. The biggest single separator in this matchup is SWE-bench Verified, where the scores are 69.9% and 77.6%.
Mistral Medium 3.5 128B has the edge for coding in this comparison, averaging 77.6 versus 55.1. Inside this category, SWE-bench Verified is the benchmark that creates the most daylight between them.
For engineers, researchers, and the plain curious — a weekly brief on new models, ranking shifts, and pricing changes.
Free. No spam. Unsubscribe anytime.