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Model comparison

Claude Opus 4.8 vs Qwen3.5-122B-A10B

Data verified

Head-to-head evidence from 22 shared benchmark results across 6 categories. Overall scores shown here use BenchLM's provisional ranking lane.

85/100
Margin
26.0pts
← winning
59/100
2 category wins2 category wins

Verified leaderboard positions: Claude Opus 4.8 #3; Qwen3.5-122B-A10B #26

Evidence parity. Claude Opus 4.8 and Qwen3.5-122B-A10B share 22 comparable benchmark results. 4 of 8 categories are comparable. 31 results are unique to Claude Opus 4.8; 10 to Qwen3.5-122B-A10B.

Updated July 12, 2026
Shared results
22
Claude Opus 4.8 only
31
Qwen3.5-122B-A10B only
10
Comparable categories
4 / 8

Pick Claude Opus 4.8 if you want the stronger benchmark profile. Qwen3.5-122B-A10B only becomes the better choice if knowledge is the priority or you want the cheaper token bill.

Confidence note. This is a partial-evidence comparison with 22 shared benchmark results across 6 evidence categories; 4 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 4.8 is clearly ahead on the provisional aggregate, 85 to 59. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.

Claude Opus 4.8's sharpest advantage is in agentic, where it averages 80.3 against 56.4. The single biggest benchmark swing on the page is OSWorld-Verified, 83.4% to 58%. Qwen3.5-122B-A10B does hit back in knowledge, so the answer changes if that is the part of the workload you care about most.

Claude Opus 4.8 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 Qwen3.5-122B-A10B. That is roughly Infinityx on output cost alone. Claude Opus 4.8 gives you the larger context window at 1M, compared with 262K for Qwen3.5-122B-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 4.8 and Qwen3.5-122B-A10B
CategoryClaude Opus 4.8ΔQwen3.5-122B-A10B
AgenticClaude Opus 4.880.3Margin 23.9Qwen3.5-122B-A10B56.4
KnowledgeClaude Opus 4.862.7Margin 20.9Qwen3.5-122B-A10B83.6
CodingClaude Opus 4.876.4Margin 4.4Qwen3.5-122B-A10B72.0
MultimodalClaude Opus 4.877.0Margin 0.2Qwen3.5-122B-A10B77.2
ReasoningClaude Opus 4.8Not measuredMarginNo overlapQwen3.5-122B-A10B60.2
MathClaude Opus 4.853.9MarginNo overlapQwen3.5-122B-A10BNot measured
MultilingualClaude Opus 4.8Not measuredMarginNo overlapQwen3.5-122B-A10B82.2
Inst. FollowingClaude Opus 4.8Not measuredMarginNo overlapQwen3.5-122B-A10B93.4

Decisive benchmark drivers

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

More
A · Claude Opus 4.8B · Qwen3.5-122B-A10B
  1. OSWorld-Verified

    Agentic
    Source ↗
    A 83.4%B 58%
    Winner: Claude Opus 4.8Δ 25.4
    OSWorld-Verified: Claude Opus 4.8 scored 83.4%; Qwen3.5-122B-A10B scored 58%. Claude Opus 4.8 wins this benchmark.
  2. Terminal-Bench 2.0

    Agentic
    Source ↗
    A 74.6%B 49.4%
    Winner: Claude Opus 4.8Δ 25.2
    Terminal-Bench 2.0: Claude Opus 4.8 scored 74.6%; Qwen3.5-122B-A10B scored 49.4%. Claude Opus 4.8 wins this benchmark.
  3. BrowseComp

    Agentic
    Source ↗
    A 84.3%B 63.8%
    Winner: Claude Opus 4.8Δ 20.5
    BrowseComp: Claude Opus 4.8 scored 84.3%; Qwen3.5-122B-A10B scored 63.8%. Claude Opus 4.8 wins this benchmark.
  4. SWE-bench Verified

    Coding
    Source ↗
    A 88.6%B 72%
    Winner: Claude Opus 4.8Δ 16.6
    SWE-bench Verified: Claude Opus 4.8 scored 88.6%; Qwen3.5-122B-A10B scored 72%. Claude Opus 4.8 wins this benchmark.
  5. CharXiv

    Multimodal
    Source ↗
    A 89.9%B 77.2%
    Winner: Claude Opus 4.8Δ 12.7
    CharXiv: Claude Opus 4.8 scored 89.9%; Qwen3.5-122B-A10B scored 77.2%. Claude Opus 4.8 wins this benchmark.

Operational comparison

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

MetricClaude Opus 4.8Qwen3.5-122B-A10BComparison
Input / output priceUSD per 1M tokensClaude Opus 4.8$5 input / $25 outputQwen3.5-122B-A10B$0 input / $0 outputQwen3.5-122B-A10B has the lower combined listed price.
Generation speedtokens per secondClaude Opus 4.8Not availableQwen3.5-122B-A10BNot availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenClaude Opus 4.8Not availableQwen3.5-122B-A10BNot availableA complete latency comparison is not available.
Context windowmaximum listed tokensClaude Opus 4.81MQwen3.5-122B-A10B262KClaude Opus 4.8 lists the larger context window.

Benchmark Deep Dive

AgenticClaude Opus 4.8 wins
BenchmarkClaude Opus 4.8Qwen3.5-122B-A10BResult
Terminal-Bench 2.0Source 74.6%49.4%Claude Opus 4.8 leads
BrowseCompSource 84.3%63.8%Claude Opus 4.8 leads
DeepSearchQASource 93.1%Not comparable
OSWorld-VerifiedSource 83.4%58%Claude Opus 4.8 leads
Finance Agent v2Source 53.9%Not comparable
GDPval-AASource 1600980Claude Opus 4.8 leads
MCP AtlasSource 82.2%Not comparable
ToolathlonSource 59.9%Not comparable
Gert LabsSource 72.97%Not comparable
AA Agentic IndexSource 47.2%20.7%Claude Opus 4.8 leads
Tau2-TelecomSource 94.4%93.6%Claude Opus 4.8 leads
GDPval-AASource 55.0%24.0%Claude Opus 4.8 leads
ResearchClawBenchSource 21.1%Not comparable
OSWorld 2.0Source 20.6%Not comparable
AA BriefcaseSource 1354Not comparable
AA AutomationBenchSource 48.5%Not comparable
AA EnterpriseOps-GymSource 44.0%Not comparable
AA Harvey LABSource 7.5%Not comparable
AA Tau3 BankingSource 27.6%Not comparable
CodingClaude Opus 4.8 wins
BenchmarkClaude Opus 4.8Qwen3.5-122B-A10BResult
SWE-bench VerifiedSource 88.6%72%Claude Opus 4.8 leads
SWE-bench ProSource 69.2%Not comparable
SWE MultilingualSource 84.4%Not comparable
SWE MultimodalSource 38.4%Not comparable
Terminal-Bench 2.0Source 74.6%Not comparable
cursorBench31Source 58.4%Not comparable
cursorBench32Source 62.3%Not comparable
AA Coding IndexSource 74.3%45.7%Claude Opus 4.8 leads
Terminal-Bench HardSource 58.3%31.1%Claude Opus 4.8 leads
AA-SciCodeSource 53.5%42.0%Claude Opus 4.8 leads
FrontierCodeSource 46.5%Not comparable
AA Terminal-Bench 2.1Source 84.6%Not comparable
Reasoning
BenchmarkClaude Opus 4.8Qwen3.5-122B-A10BResult
AA-LCRSource 67.7%66.7%Claude Opus 4.8 leads
CritPtSource 20.9%0.6%Claude Opus 4.8 leads
LongBench v2Source 60.2%Not comparable
KnowledgeQwen3.5-122B-A10B wins
BenchmarkClaude Opus 4.8Qwen3.5-122B-A10BResult
GPQASource 93.6%86.6%Claude Opus 4.8 leads
GPQA-DSource 93.6%Not comparable
HLESource 57.9%Not comparable
HLE w/o toolsSource 49.8%Not comparable
Artificial Analysis Intelligence IndexSource 55.7%32.3%Claude Opus 4.8 leads
AA-GPQA DiamondSource 92.0%85.7%Claude Opus 4.8 leads
AA-HLESource 45.7%23.4%Claude Opus 4.8 leads
AA-Omniscience IndexSource 27.4%-39.6%Claude Opus 4.8 leads
AA-Omniscience AccuracySource 46.6%24.7%Claude Opus 4.8 leads
AA-Omniscience Hallucination RateSource 35.9%85.5%Claude Opus 4.8 leads
MMLU-ProSource 86.7%Not comparable
SuperGPQASource 67.1%Not comparable
Math
BenchmarkClaude Opus 4.8Qwen3.5-122B-A10BResult
USAMO 2026Source 96.7%Not comparable
FrontierMath v2 (Tiers 1-3)Source 47.241%Not comparable
FrontierMath v2 (Tier 4)Source 31.250%Not comparable
Multilingual
BenchmarkClaude Opus 4.8Qwen3.5-122B-A10BResult
INCLUDESource 87.6%Not comparable
MMLU-ProXSource 82.2%Not comparable
MultimodalQwen3.5-122B-A10B wins
BenchmarkClaude Opus 4.8Qwen3.5-122B-A10BResult
OfficeQA ProSource 66.2%Not comparable
ScreenSpot ProSource 87.9%Not comparable
CharXivSource 89.9%77.2%Claude Opus 4.8 leads
CharXiv w/o toolsSource 80.5%Not comparable
Design Arena WebsiteSource 1281Not comparable
MMMUSource 83.9%Not comparable
MMVUSource 74.7%Not comparable
MathVisionSource 86.2%Not comparable
V*Source 93.2%Not comparable
AA-MMMU-ProSource 75.0%Not comparable
Inst. Following
BenchmarkClaude Opus 4.8Qwen3.5-122B-A10BResult
AA-IFBenchSource 62.2%75.7%Qwen3.5-122B-A10B leads
IFEvalSource 93.4%Not comparable
Frequently Asked Questions (5)

Which is better, Claude Opus 4.8 or Qwen3.5-122B-A10B?

Claude Opus 4.8 is ahead on BenchLM's provisional leaderboard, 85 to 59. The biggest single separator in this matchup is OSWorld-Verified, where the scores are 83.4% and 58%.

Which is better for knowledge tasks, Claude Opus 4.8 or Qwen3.5-122B-A10B?

Qwen3.5-122B-A10B has the edge for knowledge tasks in this comparison, averaging 83.6 versus 62.7. Inside this category, AA-Omniscience Index is the benchmark that creates the most daylight between them.

Which is better for coding, Claude Opus 4.8 or Qwen3.5-122B-A10B?

Claude Opus 4.8 has the edge for coding in this comparison, averaging 76.4 versus 72. Inside this category, AA Coding Index is the benchmark that creates the most daylight between them.

Which is better for agentic tasks, Claude Opus 4.8 or Qwen3.5-122B-A10B?

Claude Opus 4.8 has the edge for agentic tasks in this comparison, averaging 80.3 versus 56.4. Inside this category, GDPval-AA is the benchmark that creates the most daylight between them.

Which is better for multimodal and grounded tasks, Claude Opus 4.8 or Qwen3.5-122B-A10B?

Qwen3.5-122B-A10B has the edge for multimodal and grounded tasks in this comparison, averaging 77.2 versus 77. Inside this category, CharXiv is the benchmark that creates the most daylight between them.

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Last updated: July 12, 2026

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