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Model comparison

GPT-5.5 Pro vs Holo3-122B-A10B

Data verified

Head-to-head evidence from 0 shared benchmark results across 0 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

No sourced benchmark result is currently shared by both models. This page therefore compares only the available metadata, pricing, and runtime rows; it does not name a quality winner.
63.69/100
No comparison
N/A
1 category wins0 category wins

Public leaderboard positions: GPT-5.5 Pro #38 (Estimated); Holo3-122B-A10B unranked (Not scored). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. GPT-5.5 Pro and Holo3-122B-A10B share 0 comparable benchmark results. 1 of 8 categories are comparable. 7 results are unique to GPT-5.5 Pro; 1 to Holo3-122B-A10B.

Updated July 22, 2026
Shared results
0
GPT-5.5 Pro only
7
Holo3-122B-A10B only
1
Comparable categories
1 / 8

Treat this as a split decision. GPT-5.5 Pro makes more sense if agentic is the priority or you need the larger 1M context window; Holo3-122B-A10B is the better fit if you want the cheaper token bill or you would rather avoid the extra latency and token burn of a reasoning model.

Confidence note. This is a partial-evidence comparison with 0 shared benchmark results across 0 evidence categories; 1 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.

Why this result

GPT-5.5 Pro and Holo3-122B-A10B finish on the same BenchAlign overall score, so this is less about a single winner and more about where the edge shows up. The BenchAlign headline says tie; the benchmark table is where the real choice happens.

GPT-5.5 Pro is also the more expensive model on tokens at $30.00 input / $180.00 output per 1M tokens, versus $0.40 input / $3.00 output per 1M tokens for Holo3-122B-A10B. That is roughly 60.0x on output cost alone. GPT-5.5 Pro 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 Pro gives you the larger context window at 1M, compared with 64K for Holo3-122B-A10B.

Operational comparison

Runtime and commercial metrics are compared only when both models have a complete sourced value.

MetricGPT-5.5 ProHolo3-122B-A10BComparison
Input / output priceUSD per 1M tokensGPT-5.5 Pro$30 input / $180 outputHolo3-122B-A10B$0.4 input / $3 outputHolo3-122B-A10B has the lower combined listed price.
Generation speedtokens per secondGPT-5.5 ProNot availableHolo3-122B-A10BNot availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenGPT-5.5 ProNot availableHolo3-122B-A10BNot availableA complete latency comparison is not available.
Context windowmaximum listed tokensGPT-5.5 Pro1MHolo3-122B-A10B64KGPT-5.5 Pro lists the larger context window.

Benchmark Deep Dive

AgenticGPT-5.5 Pro wins
BenchmarkGPT-5.5 ProHolo3-122B-A10BResult
BrowseCompSource 90.1%Not comparable
OSWorld-VerifiedSource 78.8%Not comparable
Reasoning
BenchmarkGPT-5.5 ProHolo3-122B-A10BResult
CritPtSource 30.6%Not comparable
Knowledge
BenchmarkGPT-5.5 ProHolo3-122B-A10BResult
HLESource 57.2%Not comparable
HLE w/o toolsSource 43.1%Not comparable
Math
BenchmarkGPT-5.5 ProHolo3-122B-A10BResult
FrontierMath (legacy)Source 52.4%Not comparable
FrontierMath v2 (Tiers 1-3)Source 51.000%Not comparable
FrontierMath v2 (Tier 4)Source 39.600%Not comparable
Frequently Asked Questions (2)

Which is better, GPT-5.5 Pro or Holo3-122B-A10B?

GPT-5.5 Pro and Holo3-122B-A10B are tied on the BenchAlign overall score, so the right pick depends on which category matters most for your use case.

Which is better for agentic tasks, GPT-5.5 Pro or Holo3-122B-A10B?

GPT-5.5 Pro has the edge for agentic tasks in this comparison, averaging 90.1 versus 78.9. Holo3-122B-A10B stays close enough that the answer can still flip depending on your workload.

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Last updated: July 22, 2026

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