Head-to-head comparison across 2benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Claude Opus 4.6
87
ZAYA1-74B-Preview
58
Verified leaderboard positions: Claude Opus 4.6 #4 · ZAYA1-74B-Preview unranked
Pick Claude Opus 4.6 if you want the stronger benchmark profile. ZAYA1-74B-Preview only becomes the better choice if you want the cheaper token bill or you want the stronger reasoning-first profile.
Coding
+11.2 difference
Knowledge
+11.9 difference
Claude Opus 4.6
ZAYA1-74B-Preview
$5 / $25
$0 / $0
40 t/s
N/A
1.78s
N/A
1M
256K
Pick Claude Opus 4.6 if you want the stronger benchmark profile. ZAYA1-74B-Preview only becomes the better choice if you want the cheaper token bill or you want the stronger reasoning-first profile.
Claude Opus 4.6 is clearly ahead on the provisional aggregate, 87 to 58. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Claude Opus 4.6's sharpest advantage is in knowledge, where it averages 76.2 against 64.3. The single biggest benchmark swing on the page is GPQA, 91.3% to 57.3%.
Claude Opus 4.6 is also the more expensive model on tokens at $5.00 input / $25.00 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 Opus 4.6 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 Opus 4.6 gives you the larger context window at 1M, compared with 256K for ZAYA1-74B-Preview.
Claude Opus 4.6 is ahead on BenchLM's provisional leaderboard, 87 to 58. The biggest single separator in this matchup is GPQA, where the scores are 91.3% and 57.3%.
Claude Opus 4.6 has the edge for knowledge tasks in this comparison, averaging 76.2 versus 64.3. Inside this category, GPQA is the benchmark that creates the most daylight between them.
Claude Opus 4.6 has the edge for coding in this comparison, averaging 64.4 versus 53.2. Inside this category, SWE-bench Verified is the benchmark that creates the most daylight between them.
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