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Model comparison

Claude Opus 4.7 (Adaptive) vs Holo3-122B-A10B

Data verified

Head-to-head evidence from 1 shared benchmark result across 1 category. Overall scores shown here use the public BenchAlign v5 ranking lane.

66.27/100
No comparison
N/A
0 category wins1 category wins

Public leaderboard positions: Claude Opus 4.7 (Adaptive) #27 (Estimated); Holo3-122B-A10B unranked (Not scored). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. Claude Opus 4.7 (Adaptive) and Holo3-122B-A10B share 1 comparable benchmark result. 1 of 8 categories are comparable. 37 results are unique to Claude Opus 4.7 (Adaptive); 0 to Holo3-122B-A10B.

Updated July 23, 2026
Shared results
1
Claude Opus 4.7 (Adaptive) only
37
Holo3-122B-A10B only
0
Comparable categories
1 / 8

Treat this as a split decision. Claude Opus 4.7 (Adaptive) makes more sense if you need the larger 1M context window or you want the stronger reasoning-first profile; Holo3-122B-A10B is the better fit if agentic is the priority or you want the cheaper token bill.

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

Why this result

Claude Opus 4.7 (Adaptive) 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.

Claude Opus 4.7 (Adaptive) is also the more expensive model on tokens at $5.00 input / $25.00 output per 1M tokens, versus $0.40 input / $3.00 output per 1M tokens for Holo3-122B-A10B. That is roughly 8.3x on output cost alone. Claude Opus 4.7 (Adaptive) 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. Claude Opus 4.7 (Adaptive) gives you the larger context window at 1M, compared with 64K for Holo3-122B-A10B.

Category breakdown

Exact category averages are shown below. Not measured means BenchLM does not have enough sourced public coverage for that model and category.

Category scores and score margins for Claude Opus 4.7 (Adaptive) and Holo3-122B-A10B
CategoryClaude Opus 4.7 (Adaptive)ΔHolo3-122B-A10B
AgenticClaude Opus 4.7 (Adaptive)75.1Margin→ 3.8Holo3-122B-A10B78.9
CodingClaude Opus 4.7 (Adaptive)78.6MarginNo overlapHolo3-122B-A10BNot measured
ReasoningClaude Opus 4.7 (Adaptive)75.8MarginNo overlapHolo3-122B-A10BNot measured
KnowledgeClaude Opus 4.7 (Adaptive)60.0MarginNo overlapHolo3-122B-A10BNot measured
MultimodalClaude Opus 4.7 (Adaptive)65.1MarginNo overlapHolo3-122B-A10BNot measured

Decisive benchmark drivers

The largest measured benchmark gaps in this matchup, with exact reported values.

More
A · Claude Opus 4.7 (Adaptive)B · Holo3-122B-A10B

  1. OSWorld-Verified

    Agentic
    Source ↗
    A 78%B 78.8%
    Winner: Holo3-122B-A10BΔ 0.8
    OSWorld-Verified: Claude Opus 4.7 (Adaptive) scored 78%; Holo3-122B-A10B scored 78.8%. Holo3-122B-A10B wins this benchmark.

Operational comparison

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

MetricClaude Opus 4.7 (Adaptive)Holo3-122B-A10BComparison
Input / output priceUSD per 1M tokensClaude Opus 4.7 (Adaptive)$5 input / $25 outputHolo3-122B-A10B$0.4 input / $3 outputHolo3-122B-A10B has the lower combined listed price.
Generation speedtokens per secondClaude Opus 4.7 (Adaptive)Not availableHolo3-122B-A10BNot availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenClaude Opus 4.7 (Adaptive)Not availableHolo3-122B-A10BNot availableA complete latency comparison is not available.
Context windowmaximum listed tokensClaude Opus 4.7 (Adaptive)1MHolo3-122B-A10B64KClaude Opus 4.7 (Adaptive) lists the larger context window.

Benchmark Deep Dive

AgenticHolo3-122B-A10B wins
BenchmarkClaude Opus 4.7 (Adaptive)Holo3-122B-A10BResult
Terminal-Bench 2.0Source 69.4%—Not comparable
BrowseCompSource 79.3%—Not comparable
MCP AtlasSource 77.3%—Not comparable
OSWorld-VerifiedSource 78%78.8%Holo3-122B-A10B leads
CyberGymSource 73.1%—Not comparable
AA Agentic IndexSource 44.4%—Not comparable
τ²-bench resultsSource 88.6%—Not comparable
GDPval-AASource 49.8%—Not comparable
GDPval-AASource 1495—Not comparable
OSWorld 2.0Source 18.2%—Not comparable
JobBenchSource 45.9%—Not comparable
AA ITBenchSource 46.7%—Not comparable
Coding
BenchmarkClaude Opus 4.7 (Adaptive)Holo3-122B-A10BResult
SWE-bench VerifiedSource 87.6%—Not comparable
SWE-bench ProSource 64.3%—Not comparable
Terminal-Bench 2.0Source 69.4%—Not comparable
AA Coding IndexSource 73.6%—Not comparable
AA-SciCodeSource 54.5%—Not comparable
Reasoning
BenchmarkClaude Opus 4.7 (Adaptive)Holo3-122B-A10BResult
MRCR v2 128K-256KSource 59.2%—Not comparable
ARC-AGI-2Source 75.8%—Not comparable
AA-LCRSource 70.3%—Not comparable
CritPtSource 12.0%—Not comparable
Knowledge
BenchmarkClaude Opus 4.7 (Adaptive)Holo3-122B-A10BResult
GPQASource 94.2%—Not comparable
GPQA-DSource 94.2%—Not comparable
HLESource 54.7%—Not comparable
HLE w/o toolsSource 46.9%—Not comparable
Artificial Analysis Intelligence IndexSource 53.5%—Not comparable
AA-GPQA DiamondSource 91.4%—Not comparable
AA-HLESource 39.6%—Not comparable
AA-Omniscience IndexSource 26.2%—Not comparable
AA-Omniscience AccuracySource 45.8%—Not comparable
AA-Omniscience Hallucination RateSource 36.2%—Not comparable
Math
BenchmarkClaude Opus 4.7 (Adaptive)Holo3-122B-A10BResult
FrontierMath (legacy)Source 43.8%—Not comparable
Multimodal
BenchmarkClaude Opus 4.7 (Adaptive)Holo3-122B-A10BResult
OfficeQA ProSource 43.6%—Not comparable
CharXivSource 91%—Not comparable
CharXiv w/o toolsSource 82.1%—Not comparable
AA-MMMU-ProSource 78.8%—Not comparable
Design Arena WebsiteSource 1325—Not comparable
Inst. Following
BenchmarkClaude Opus 4.7 (Adaptive)Holo3-122B-A10BResult
AA-IFBenchSource 58.6%—Not comparable
Frequently Asked Questions (2)

Which is better, Claude Opus 4.7 (Adaptive) or Holo3-122B-A10B?

Claude Opus 4.7 (Adaptive) 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, Claude Opus 4.7 (Adaptive) or Holo3-122B-A10B?

Holo3-122B-A10B has the edge for agentic tasks in this comparison, averaging 78.9 versus 75.1. Inside this category, OSWorld-Verified is the benchmark that creates the most daylight between them.

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