- DailyOmni 84.6
- WorldSense 62.8
- AVUT 85
- AV-SpeakerBench 71.3
- Best of VideoMME (with audio) 83.7 / VideoMME(w/o sub.) 81.9 83.7
- QualcommInteractive 68.5
- Omni-Cloze 64.8
- OmniGAIA (judged by deepseek-v3.2-thinking) 57.2
- MMAU 82.2
- MMAR 80
- MMSU 82.8
- RUL-MuchoMusic 72.4
- VoiceBench 93.1
- Mean of URO-Bench-Pro U 66.3 / R 86.3 / O 99.8 84.1
- SpeechRole 123.5
- WildSpeech-Bench 75.4
- Fleurs(top60) ASR WER (S2TT xx to zh/en BLEU 32.8) 6.55
- Mean of CV15 zh 3.46 / yue 1.95 / zh-tw 2.27 / en 4.83 3.13
- Mean of Librispeech test-clean 1.11 / test-other 2.23 1.67
- Seed-en custom voice stability (Seed-zh 1.07, Seed-hard 6.24) 1.35
- MMMU 80.1
- MMMU-Pro 73.9
- MathVision 73
- Mathvista (mini) 86.1
- DynaMath 83.8
- Best of ZEROBench 5 / ZEROBench_sub 34.4 34.4
- RealWorldQA 84.1
- MMStar 79.4
- MMBench EN-DEV-v1.1 92.8
- SimpleVQA 65.3
- CharXiv (RQ) 72.5
- CC-OCR 83.4
- AI2D_TEST 91.2
- MMLongBench-Doc 57.5
- OCRBench 91.3
- ERQA 54.8
- CountBench 95.1
- RefCOCO(avg) 95
- ODInW13 49.5
- EmbSpatialBench 85.4
- MLVU(M-Avg) 86.8
- MVBench 79
- LVBench 71.2
- MMVU 67.5
- MME-VideoOCR 77
- SLAKE 84.7
- PMC-VQA 62.7
- MedXpertQA-MM 54.7
- MMLU-Pro 85.9
- MMLU-Redux 94.2
- SuperGPQA 66.4
- C-Eval 92
- IFEval 89.7
- IFBench 52.6
- AA-LCR 57
- LongBench v2 59.6
- GPQA 83.9
- LiveCodeBench v6 65.6
- HMMT Nov 25 84.4
- IMOAnswerBench 65.5
- BFCL-V4 63.3
- TAU2Bench 81
- Mean of Wenetspeech net 4.30 / meeting 5.84 5.07
Qwen3.5-Omni-Plus
Qwen3.5-Omni-Plus ranks first on 6 of the 47 benchmarks it has scores on.
61
Benchmarks with a score
6
Ranked first, out of five or more models
11
In the top three
Qwen Mar 2026 Qwen3.5-Omni-Plus
Closed weights Flagship
No Epoch Capabilities Index score yet
- IFBench 52.6% #59 /70
- MMMU-Pro 73.9% #37 /72
- AA-LCR (Artificial Analysis Long Context Reasoning) 57% #22 /31
Where it ranks
Its best score on each benchmark, and where that ranks among every model with a score there. We rank each model once, at its best setting.
Knowledge and language
| Benchmark | Score | Rank | Source | |
|---|---|---|---|---|
| MMLU-Pro | 85.9% | #19 of 151 | Model card | |
| C-Eval | 92% | #6 of 38 | Model card | |
| MMLU-Redux | 94.2% | #6 of 38 | Model card | |
| IFEval | 89.7% | #28 of 126 | Model card | |
| SuperGPQA | 66.4% | #10 of 26 | Model card | |
| LongBench v2 | 59.6% | #14 of 27 | Model card | |
| SimpleVQA | 65.3% | #14 of 23 | Model card | |
| AA-LCR (Artificial Analysis Long Context Reasoning) | 57% | #22 of 31 | Model card | |
| IFBench | 52.6% | #59 of 70 | Model card |
Math and science
| Benchmark | Score | Rank | Source | |
|---|---|---|---|---|
| GPQA Diamond | 83.9% | #83 of 284 | Model card | |
| HMMT Nov 2025 | 84.4% | #19 of 23 | Model card | |
| IMO-AnswerBench | 65.5% | #36 of 37 | Model card |
Coding
| Benchmark | Score | Rank | Source | |
|---|---|---|---|---|
| LiveCodeBench v6 | 65.6% | #58 of 76 | Model card |
Agents and tools
| Benchmark | Score | Rank | Source | |
|---|---|---|---|---|
| tau2-bench | 81% | #29 of 69 | Model card | |
| BFCL V4 | 63.3% | #14 of 24 | Model card | |
| OmniGAIA | 57.2% | #2 of 3 | Model card |
Professional work
| Benchmark | Score | Rank | Source | |
|---|---|---|---|---|
| SLAKE | 84.7% | #2 of 4 | Model card | |
| MedXpertQA-MM | 54.7% | #9 of 12 | Model card | |
| PMC-VQA | 62.7% | #4 of 4 | Model card |
Vision, audio and robotics
| Benchmark | Score | Rank | Source | |
|---|---|---|---|---|
| RefCOCO / RefCOCO+ / RefCOCOg | 95% | #1 of 19 | Model card | |
| MVBench | 79% | #1 of 15 | Model card | |
| MMAU | 82.2% | #1 of 14 | Model card | |
| EmbSpatialBench | 85.4% | #1 of 10 | Model card | |
| VoiceBench | 93.1% | #1 of 10 | Model card | |
| CC-OCR | 83.4% | #1 of 8 | Model card | |
| MathVista | 86.1% | #10 of 64 | Model card | |
| MMBench-EN v1.1 | 92.8% | #3 of 17 | Model card | |
| OCRBench | 91.3% | #5 of 28 | Model card | |
| MMMU | 80.1% | #20 of 97 | Model card | |
| MLVU | 86.8% | #4 of 16 | Model card | |
| MMStar | 79.4% | #8 of 30 | Model card | |
| DynaMath | 83.8% | #5 of 17 | Model card | |
| ZeroBench | 34.4% | #8 of 25 | Model card | |
| Daily-Omni | 84.6% | #2 of 6 | Model card | |
| MMAR | 80% | #1 of 3 | Model card | |
| AI2D | 91.2% | #15 of 44 | Model card | |
| VideoMME v2 (with subtitles) | 27.4% | #11 of 31 | Official leaderboard | |
| RealWorldQA | 84.1% | #11 of 30 | Model card | |
| CountBench | 95.1% | #8 of 20 | Model card | |
| MMSU | 82.8% | #2 of 5 | Model card | |
| WorldSense (omnimodal) | 62.8% | #2 of 5 | Model card | |
| ODinW-13 | 49.5% | #4 of 9 | Model card | |
| Video-MME | 83.7% | #19 of 42 | Model card | |
| MMLongBench-Doc | 57.5% | #6 of 13 | Model card | |
| Omni-Cloze | 64.8% | #1 of 2 | Model card | |
| WildSpeech-Bench | 75.4 | #1 of 2 | Model card | |
| MMMU-Pro | 73.9% | #37 of 72 | Model card | |
| MATH-Vision (MathVision) | 73% | #22 of 42 | Model card | |
| τ-Voice | 53.7% | #3 of 5 | Official leaderboard | |
| MuChoMusic | 72.4% | #2 of 3 | Model card | |
| LVBench | 71.2% | #17 of 25 | Model card | |
| CharXiv | 72.5% | #46 of 67 | Model card | |
| ERQA | 54.8% | #19 of 26 | Model card | |
| MMVU | 67.5% | #16 of 20 | Model card | |
| FLEURS | 6.55% | #3 of 3 | Model card | |
| AV-SpeakerBench | 71.3% | #2 of 2 | Model card | |
| AVUT | 85% | #2 of 2 | Model card | |
| QIVD | 68.5% | #2 of 2 | Model card | |
| MME-VideoOCR | 77% | #1 of 1 | Model card | |
| SpeechRole | 123.5 | #1 of 1 | Model card | |
| URO-Bench | 84.1% | #1 of 1 | Model card |
Its launch post
The benchmarks the lab chose to headline, with the scores it gave.
Its system card
Every result in the longer documents the lab published with it. 2 of them aren't in the launch post.
Qwen3.5-Omni Technical Report 17 Apr 2026
Capabilities
- MMLU-Pro 85.9
- MMLU-Redux 94.2
- SuperGPQA 66.4
- C-Eval 92
- IFEval 89.7
- IFBench 52.6
- AA-LCR (Artificial Analysis Long Context Reasoning) 57
- LongBench v2 59.6
- GPQA Diamond 83.9
- LiveCodeBench v6 65.6
- HMMT Nov 2025 84.4
- IMO-AnswerBench 65.5
- BFCL V4 63.3
- tau2-bench 81
- MMAU 82.2
- MMAR 80
- MMSU 82.8
- MuChoMusic 72.4
- VoiceBench 93.1
- URO-Bench
- SpeechRole 123.5
- WildSpeech-Bench 75.4
- FLEURS 6.55
- Common Voice
- LibriSpeech
- WenetSpeech
- MMMU 80.1
- MMMU-Pro 73.9
- MATH-Vision (MathVision) 73
- MathVista 86.1
- DynaMath 83.8
- ZeroBench 5
- RealWorldQA 84.1
- MMStar 79.4
- MMBench-EN v1.1 92.8
- SimpleVQA 65.3
- CharXiv 72.5
- CC-OCR 83.4
- AI2D 91.2
- MMLongBench-Doc 57.5
- OCRBench 91.3
- ERQA 54.8
- CountBench 95.1
- RefCOCO / RefCOCO+ / RefCOCOg 95
- ODinW-13 49.5
- EmbSpatialBench 85.4
- Video-MME 83.7
- MLVU 86.8
- MVBench 79
- LVBench 71.2
- MMVU 67.5
- MME-VideoOCR 77
- Daily-Omni 84.6
- WorldSense (omnimodal) 62.8
- AVUT 85
- AV-SpeakerBench 71.3
- QIVD 68.5
- Omni-Cloze 64.8
- OmniGAIA 57.2
- Seed-TTS-eval
- MiniMax TTS Multilingual Test Set
- CV3-Eval
Health
- SLAKE 84.7
- PMC-VQA 62.7
- MedXpertQA-MM 54.7