Head-to-head comparison across 1benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
GPT-5.5
91
Holo3-122B-A10B
100
Verified leaderboard positions: GPT-5.5 #5 · Holo3-122B-A10B unranked
Pick Holo3-122B-A10B if you want the stronger benchmark profile. GPT-5.5 only becomes the better choice if agentic is the priority or you need the larger 1M context window.
Agentic
+2.6 difference
GPT-5.5
Holo3-122B-A10B
$5 / $30
$0.4 / $3
N/A
N/A
N/A
N/A
1M
64K
Pick Holo3-122B-A10B if you want the stronger benchmark profile. GPT-5.5 only becomes the better choice if agentic is the priority or you need the larger 1M context window.
Holo3-122B-A10B is clearly ahead on the provisional aggregate, 100 to 91. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
GPT-5.5 is also the more expensive model on tokens at $5.00 input / $30.00 output per 1M tokens, versus $0.40 input / $3.00 output per 1M tokens for Holo3-122B-A10B. That is roughly 10.0x on output cost alone. GPT-5.5 is the reasoning model in the pair, while Holo3-122B-A10B 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-5.5 gives you the larger context window at 1M, compared with 64K for Holo3-122B-A10B.
Holo3-122B-A10B is ahead on BenchLM's provisional leaderboard, 100 to 91. The biggest single separator in this matchup is OSWorld-Verified, where the scores are 78.7% and 78.8%.
GPT-5.5 has the edge for agentic tasks in this comparison, averaging 81.5 versus 78.9. Inside this category, OSWorld-Verified is the benchmark that creates the most daylight between them.
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