Head-to-head comparison across 1benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Mistral Medium 3.5 128B
80
ZAYA1-74B-Preview
58
Pick Mistral Medium 3.5 128B if you want the stronger benchmark profile. ZAYA1-74B-Preview only becomes the better choice if you want the cheaper token bill.
Coding
+24.4 difference
Mistral Medium 3.5 128B
ZAYA1-74B-Preview
$1.5 / $7.5
$0 / $0
N/A
N/A
N/A
N/A
256K
256K
Pick Mistral Medium 3.5 128B if you want the stronger benchmark profile. ZAYA1-74B-Preview only becomes the better choice if you want the cheaper token bill.
Mistral Medium 3.5 128B is clearly ahead on the provisional aggregate, 80 to 58. 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 53.2. The single biggest benchmark swing on the page is SWE-bench Verified, 77.6% to 53.2%.
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 ZAYA1-74B-Preview. That is roughly Infinityx on output cost alone.
Mistral Medium 3.5 128B is ahead on BenchLM's provisional leaderboard, 80 to 58. The biggest single separator in this matchup is SWE-bench Verified, where the scores are 77.6% and 53.2%.
Mistral Medium 3.5 128B has the edge for coding in this comparison, averaging 77.6 versus 53.2. 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.