Head-to-head comparison across 2benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
GPT-4.1
58
ZAYA1-74B-Preview
58
Treat this as a split decision. GPT-4.1 makes more sense if knowledge is the priority or you need the larger 1M context window; ZAYA1-74B-Preview is the better fit if you want the cheaper token bill or you want the stronger reasoning-first profile.
Coding
+1.4 difference
Knowledge
+2.0 difference
GPT-4.1
ZAYA1-74B-Preview
$2 / $8
$0 / $0
108 t/s
N/A
1.02s
N/A
1M
256K
Treat this as a split decision. GPT-4.1 makes more sense if knowledge is the priority or you need the larger 1M context window; ZAYA1-74B-Preview is the better fit if you want the cheaper token bill or you want the stronger reasoning-first profile.
GPT-4.1 and ZAYA1-74B-Preview finish on the same provisional overall score, so this is less about a single winner and more about where the edge shows up. The provisional headline says tie; the benchmark table is where the real choice happens.
GPT-4.1 is also the more expensive model on tokens at $2.00 input / $8.00 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 GPT-4.1 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. GPT-4.1 gives you the larger context window at 1M, compared with 256K for ZAYA1-74B-Preview.
GPT-4.1 and ZAYA1-74B-Preview are tied on the provisional overall score, so the right pick depends on which category matters most for your use case.
GPT-4.1 has the edge for knowledge tasks in this comparison, averaging 66.3 versus 64.3. Inside this category, GPQA is the benchmark that creates the most daylight between them.
GPT-4.1 has the edge for coding in this comparison, averaging 54.6 versus 53.2. Inside this category, SWE-bench Verified is the benchmark that creates the most daylight between them.
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