Head-to-head comparison across 1benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Claude 4.1 Opus
52
ZAYA1-74B-Preview
58
Pick ZAYA1-74B-Preview if you want the stronger benchmark profile. Claude 4.1 Opus only becomes the better choice if coding is the priority or you would rather avoid the extra latency and token burn of a reasoning model.
Coding
+21.3 difference
Claude 4.1 Opus
ZAYA1-74B-Preview
$15 / $75
$0 / $0
29 t/s
N/A
1.66s
N/A
200K
256K
Pick ZAYA1-74B-Preview if you want the stronger benchmark profile. Claude 4.1 Opus only becomes the better choice if coding is the priority or you would rather avoid the extra latency and token burn of a reasoning model.
ZAYA1-74B-Preview is clearly ahead on the provisional aggregate, 58 to 52. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Claude 4.1 Opus is also the more expensive model on tokens at $15.00 input / $75.00 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 the reasoning model in the pair, while Claude 4.1 Opus 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. ZAYA1-74B-Preview gives you the larger context window at 256K, compared with 200K for Claude 4.1 Opus.
ZAYA1-74B-Preview is ahead on BenchLM's provisional leaderboard, 58 to 52. The biggest single separator in this matchup is SWE-bench Verified, where the scores are 74.5% and 53.2%.
Claude 4.1 Opus has the edge for coding in this comparison, averaging 74.5 versus 53.2. Inside this category, SWE-bench Verified is the benchmark that creates the most daylight between them.
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