Model comparison
Claude Opus 4.8 vs Qwen3.5-122B-A10B
Head-to-head evidence from 22 shared benchmark results across 6 categories. Overall scores shown here use BenchLM's provisional ranking lane.
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 | Claude Opus 4.8 | Δ | Qwen3.5-122B-A10B |
|---|---|---|---|
| Agentic | Claude Opus 4.880.3 | Margin← 23.9 | Qwen3.5-122B-A10B56.4 |
| Knowledge | Claude Opus 4.862.7 | Margin→ 20.9 | Qwen3.5-122B-A10B83.6 |
| Coding | Claude Opus 4.876.4 | Margin← 4.4 | Qwen3.5-122B-A10B72.0 |
| Multimodal | Claude Opus 4.877.0 | Margin→ 0.2 | Qwen3.5-122B-A10B77.2 |
| Reasoning | Claude Opus 4.8Not measured | MarginNo overlap | Qwen3.5-122B-A10B60.2 |
| Math | Claude Opus 4.853.9 | MarginNo overlap | Qwen3.5-122B-A10BNot measured |
| Multilingual | Claude Opus 4.8Not measured | MarginNo overlap | Qwen3.5-122B-A10B82.2 |
| Inst. Following | Claude Opus 4.8Not measured | MarginNo overlap | Qwen3.5-122B-A10B93.4 |
Decisive benchmark drivers
The largest measured benchmark gaps in this matchup, with exact reported values.
More
- Source ↗
OSWorld-Verified
AgenticA 83.4%B 58%Winner: Claude Opus 4.8Δ 25.4OSWorld-Verified: Claude Opus 4.8 scored 83.4%; Qwen3.5-122B-A10B scored 58%. Claude Opus 4.8 wins this benchmark. - Source ↗
Terminal-Bench 2.0
AgenticA 74.6%B 49.4%Winner: Claude Opus 4.8Δ 25.2Terminal-Bench 2.0: Claude Opus 4.8 scored 74.6%; Qwen3.5-122B-A10B scored 49.4%. Claude Opus 4.8 wins this benchmark. - Source ↗
BrowseComp
AgenticA 84.3%B 63.8%Winner: Claude Opus 4.8Δ 20.5BrowseComp: Claude Opus 4.8 scored 84.3%; Qwen3.5-122B-A10B scored 63.8%. Claude Opus 4.8 wins this benchmark. - Source ↗
SWE-bench Verified
CodingA 88.6%B 72%Winner: Claude Opus 4.8Δ 16.6SWE-bench Verified: Claude Opus 4.8 scored 88.6%; Qwen3.5-122B-A10B scored 72%. Claude Opus 4.8 wins this benchmark. - Source ↗
CharXiv
MultimodalA 89.9%B 77.2%Winner: Claude Opus 4.8Δ 12.7CharXiv: 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.
| Metric | Claude Opus 4.8 | Qwen3.5-122B-A10B | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Claude Opus 4.8$5 input / $25 output | Qwen3.5-122B-A10B$0 input / $0 output | Qwen3.5-122B-A10B has the lower combined listed price. |
| Generation speedtokens per second | Claude Opus 4.8Not available | Qwen3.5-122B-A10BNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Claude Opus 4.8Not available | Qwen3.5-122B-A10BNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Claude Opus 4.81M | Qwen3.5-122B-A10B262K | Claude Opus 4.8 lists the larger context window. |
Benchmark Deep Dive
AgenticClaude Opus 4.8 wins19 benchmarks
| Benchmark | Claude Opus 4.8 | Qwen3.5-122B-A10B | Result |
|---|---|---|---|
| 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 | 1600 | 980 | Claude 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 | 1354 | — | Not 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 wins12 benchmarks
| Benchmark | Claude Opus 4.8 | Qwen3.5-122B-A10B | Result |
|---|---|---|---|
| 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 |
Reasoning3 benchmarks
KnowledgeQwen3.5-122B-A10B wins12 benchmarks
| Benchmark | Claude Opus 4.8 | Qwen3.5-122B-A10B | Result |
|---|---|---|---|
| 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 |
Math3 benchmarks
Multilingual2 benchmarks
MultimodalQwen3.5-122B-A10B wins10 benchmarks
| Benchmark | Claude Opus 4.8 | Qwen3.5-122B-A10B | Result |
|---|---|---|---|
| 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 | 1281 | — | Not 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 |
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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