BlogLLM Benchmark Scores as Published, Side by Side
Qwen3.5-122B-A10B: Benchmark Scores as Published
Every result the catalog holds for Qwen3.5-122B-A10B: 115 tests in 14 areas, from 4 pages. 85 printed by Alibaba itself, the rest by the company named beside each number. Each number is as printed; nothing is ranked or rescored.
Developer AlibabaReleased 2026-02-24Context window 262KInput Text, image, videoOutput TextWeights Open (Apache 2.0)Data version 2026103001, as of 2026-10-30
Knowledge Work
| Test | Value | Printed by | Setup as printed |
|---|---|---|---|
| AutomationBench | 27.25% | NVIDIA, NVIDIA Nemotron 3.5 Super VL 120B-A12B model cardchecked 2026-10-19 | - |
| GDPval-AA v2 | 861 | NVIDIA, NVIDIA Nemotron 3.5 Super VL 120B-A12B model cardchecked 2026-10-19 | - |
Agentic Coding
| Test | Value | Printed by | Setup as printed |
|---|---|---|---|
| SWE-bench Verified | 72% | Alibaba, Qwen3.5-122B-A10B model cardchecked 2026-10-15; printed on 1 more page | - |
| SWE-Bench Pro | 44.9% | NVIDIA, NVIDIA Nemotron 3.5 Super VL 120B-A12B model cardchecked 2026-10-19 | - |
| Terminal-Bench 2.1 | 48.7% | NVIDIA, NVIDIA Nemotron 3.5 Super VL 120B-A12B model cardchecked 2026-10-19 | - |
| DeepSWE v1.1 | 0.4% | NVIDIA, NVIDIA Nemotron 3.5 Super VL 120B-A12B model cardchecked 2026-10-19 | - |
| SWE-bench Multilingual | 62% | NVIDIA, NVIDIA Nemotron 3.5 Super VL 120B-A12B model cardchecked 2026-10-19 | - |
| Terminal-Bench 2.0 | 49.4% | Alibaba, Qwen3.5-122B-A10B model cardchecked 2026-10-15 | - |
| Terminal-Bench 4.0 | 0% | NVIDIA, NVIDIA Nemotron 3.5 Super VL 120B-A12B model cardchecked 2026-10-19 | - |
Science and Math
| Test | Value | Printed by | Setup as printed |
|---|---|---|---|
| GPQA Diamond | 86.6% | Alibaba, Qwen3.5-122B-A10B model cardchecked 2026-10-15; printed on 1 more page | - |
| AIME 2025 | 93% | Mistral AI, Mistral Small 4 model cardchecked 2026-10-15 | Effort: reasoning; Harness: Score vs. Output Length chart (Mistral comparison run) |
| 80% | Mistral AI, Mistral Small 4 model cardchecked 2026-10-15 | Effort: instruct; Harness: Score vs. Output Length chart (Mistral comparison run) | |
| SciCode | 39.8% | NVIDIA, NVIDIA Nemotron 3.5 Super VL 120B-A12B model cardchecked 2026-10-19 | - |
| HMMT February 2025 | 91.4% | Alibaba, Qwen3.5-122B-A10B model cardchecked 2026-10-15 | - |
| HMMT November 2025 | 90.3% | Alibaba, Qwen3.5-122B-A10B model cardchecked 2026-10-15 | - |
| CritPt | 1.1% | NVIDIA, NVIDIA Nemotron 3.5 Super VL 120B-A12B model cardchecked 2026-10-19 | - |
| MathArena Apex Shortlist | 54.7% | NVIDIA, NVIDIA Nemotron 3.5 Super VL 120B-A12B model cardchecked 2026-10-19 | - |
| PolyMATH | 68.9% | Alibaba, Qwen3.5-122B-A10B model cardchecked 2026-10-15 | - |
Long Context
| Test | Value | Printed by | Setup as printed |
|---|---|---|---|
| AA-LCR | 66.9% | Alibaba, Qwen3.5-122B-A10B model cardchecked 2026-10-15; printed on 1 more page | - |
| LongBench v2 | 60.2% | Alibaba, Qwen3.5-122B-A10B model cardchecked 2026-10-15 | - |
| GraphWalks (variant not stated) | 86.1% | NVIDIA, NVIDIA Nemotron 3.5 Super VL 120B-A12B model cardchecked 2026-10-19 | - |
| LCR (Mistral custom implementation of AA LCR) | 84 | Mistral AI, Mistral Small 4 model cardchecked 2026-10-15 | Effort: reasoning; Harness: Score vs. Output Length chart (Mistral comparison run) |
Computer Use
| Test | Value | Printed by | Setup as printed |
|---|---|---|---|
| OSWorld-Verified | 58% | Alibaba, Qwen3.5-122B-A10B model cardchecked 2026-10-15; printed on 1 more page | - |
| ScreenSpot-Pro | 70.4% | Alibaba, Qwen3.5-122B-A10B model cardchecked 2026-10-15 | - |
| AndroidWorld | 66.4% | Alibaba, Qwen3.5-122B-A10B model cardchecked 2026-10-15 | - |
Multimodal Understanding
General Knowledge and Reasoning
Code Generation
| Test | Value | Printed by | Setup as printed |
|---|---|---|---|
| LiveCodeBench v6 | 78.9% | Alibaba, Qwen3.5-122B-A10B model cardchecked 2026-10-15; printed on 1 more page | - |
| Codeforces rating | 2100 | Alibaba, Qwen3.5-122B-A10B model cardchecked 2026-10-15 | - |
| LiveCodeBench (version not stated) | 58% | Mistral AI, Mistral Small 4 model cardchecked 2026-10-15 | Effort: instruct; Harness: Score vs. Output Length chart (Mistral comparison run) |
| 74% | Mistral AI, Mistral Small 4 model cardchecked 2026-10-15 | Effort: reasoning; Harness: Score vs. Output Length chart (Mistral comparison run) | |
| OJBench (language not stated) | 39.5% | Alibaba, Qwen3.5-122B-A10B model cardchecked 2026-10-15 | - |
| FullStackBench en | 62.6% | Alibaba, Qwen3.5-122B-A10B model cardchecked 2026-10-15 | - |
| FullStackBench zh | 58.7% | Alibaba, Qwen3.5-122B-A10B model cardchecked 2026-10-15 | - |
Tool Use and Workflows
| Test | Value | Printed by | Setup as printed |
|---|---|---|---|
| τ³-bench Banking | 14.2% | NVIDIA, NVIDIA Nemotron 3.5 Super VL 120B-A12B model cardchecked 2026-10-19 | - |
| τ²-bench Telecom | 87.2% | NVIDIA, NVIDIA Nemotron 3.5 Super VL 120B-A12B model cardchecked 2026-10-19 | - |
| τ²-bench Retail | 55.4% | NVIDIA, NVIDIA Nemotron 3.5 Super VL 120B-A12B model cardchecked 2026-10-19 | - |
| τ²-bench Airline | 63.5% | NVIDIA, NVIDIA Nemotron 3.5 Super VL 120B-A12B model cardchecked 2026-10-19 | - |
| τ²-bench (domain not stated) | 79.5% | Alibaba, Qwen3.5-122B-A10B model cardchecked 2026-10-15 | - |
| DeepPlanning | 24.1% | Alibaba, Qwen3.5-122B-A10B model cardchecked 2026-10-15 | - |
| VitaBench | 33.6% | Alibaba, Qwen3.5-122B-A10B model cardchecked 2026-10-15 | - |
| BFCL v4 | 72.2% | Alibaba, Qwen3.5-122B-A10B model cardchecked 2026-10-15 | - |
Web Search and Research
| Test | Value | Printed by | Setup as printed |
|---|---|---|---|
| BrowseComp | 63.8% | Alibaba, Qwen3.5-122B-A10B model cardchecked 2026-10-15; printed on 1 more page | Tools: enabled; search; Context: 256000 |
| BrowseComp-ZH | 69.9% | Alibaba, Qwen3.5-122B-A10B model cardchecked 2026-10-15 | Tools: enabled; search; Context: 256000 |
| WideSearch (metric not stated) | 60.5 | Alibaba, Qwen3.5-122B-A10B model cardchecked 2026-10-15 | Tools: enabled; search; Context: 256000 |
| Seal-0 | 44.1% | Alibaba, Qwen3.5-122B-A10B model cardchecked 2026-10-15 | Tools: enabled; search; Context: 256000 |
| WebVoyager | 54.89% | NVIDIA, NVIDIA Nemotron 3.5 Super VL 120B-A12B model cardchecked 2026-10-19 | - |
Instruction Following
| Test | Value | Printed by | Setup as printed |
|---|---|---|---|
| IFBench | 76.1 | Alibaba, Qwen3.5-122B-A10B model cardchecked 2026-10-15; printed on 1 more page | - |
| MultiChallenge | 61.5% | Alibaba, Qwen3.5-122B-A10B model cardchecked 2026-10-15 | - |
| IFEval | 93.4% | Alibaba, Qwen3.5-122B-A10B model cardchecked 2026-10-15 | - |
Multilingual
| Test | Value | Printed by | Setup as printed |
|---|---|---|---|
| MMMLU | 86.7% | Alibaba, Qwen3.5-122B-A10B model cardchecked 2026-10-15 | - |
| MMLU-ProX | 82.2% | Alibaba, Qwen3.5-122B-A10B model cardchecked 2026-10-15; printed on 1 more page | - |
| WMT24++ (XCOMET-XXL) | 78.3 | Alibaba, Qwen3.5-122B-A10B model cardchecked 2026-10-15; printed on 1 more page | - |
| Global PIQA | 88.4% | Alibaba, Qwen3.5-122B-A10B model cardchecked 2026-10-15 | - |
| INCLUDE | 82.8% | Alibaba, Qwen3.5-122B-A10B model cardchecked 2026-10-15 | - |
| MaXIFE | 87.9% | Alibaba, Qwen3.5-122B-A10B model cardchecked 2026-10-15 | - |
| NOVA-63 | 58.6% | Alibaba, Qwen3.5-122B-A10B model cardchecked 2026-10-15 | - |
Writing and Conversation
| Test | Value | Printed by | Setup as printed |
|---|---|---|---|
| LMArena v3 proxy | 47 | NVIDIA, NVIDIA Nemotron 3.5 Super VL 120B-A12B model cardchecked 2026-10-19 | - |
Healthcare
| Test | Value | Printed by | Setup as printed |
|---|---|---|---|
| MedXpertQA MM | 67.3% | Alibaba, Qwen3.5-122B-A10B model cardchecked 2026-10-15 | - |
| PMC-VQA | 63.3% | Alibaba, Qwen3.5-122B-A10B model cardchecked 2026-10-15 | - |
| SLAKE | 81.6% | Alibaba, Qwen3.5-122B-A10B model cardchecked 2026-10-15 | - |
Price
API list prices in US dollars per one million tokens, as printed on the developer's pricing page on the day checked.
| Price | Value | Printed by | Setup as printed |
|---|---|---|---|
| Input | $0.115 | Alibaba, Alibaba Model Studio pricingchecked 2026-10-15 | Context: up to 128,000 tokens; Long context: $0.287 per 1M tokens above 128,000 tokens |
| Output | $0.917 | Alibaba, Alibaba Model Studio pricingchecked 2026-10-15 | Context: up to 128,000 tokens; Long context: $2.294 per 1M tokens above 128,000 tokens |
More from Alibaba
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- Qwen3-VL-32B-Instruct
- Qwen3-VL-32B-Thinking
- Qwen3-VL-8B-Instruct
- Qwen3-VL-8B-Thinking
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- Qwen3-VL-235B-A22B-Thinking
- Qwen3-Next-80B-A3B
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- Qwen3-30B-A3B-Thinking-2507
- Qwen3-Coder-Plus
- Qwen3-235B-A22B
- Qwen3-32B
- Qwen3-8B
- QwQ-32B-Preview
- Qwen-Max
- Qwen3-Max-Thinking
- Qwen3.7-Max
- Qwen3.8-2.4T-A95B
- Qwen3.8-27B
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Every number here is read from the same catalog file as the benchmark table, data version 2026103001. Where one page printed the model under several setups, each value is listed. The catalog is public in armanobosyan/sugra-llm-benchmarks; a wrong number can be reported from the table, with Report an error under the value, or as an issue in that repository.