Identity
- Type
- big tech
- Country label
- China
- HQ country
- China
- Founding country
- China
- Parent
- not in the notes
- Parent country
- not in the notes
- Country basis
- the research notes
- Units
Alibaba DAMO
FunAudioLLM
Where this comes from
Convention D1: a dual label, HQ first, when the HQ, founding or parent country differ.
Models by Class
Models
ModelClassOpennessParametersReleased

Qwen-Image-2.1image generation20 Sep 2026
Qwen-Audio-3.1-TTS-Plusspeech synthesisSep 2026
Qwen3.8-Flash-Nextmultimodal LLM24 Aug 2026
Qwen3.8LLM8 Aug 2026
Wan 3.0video generation6 Aug 2026
Qwen3.8 Maxmultimodal LLM3 Aug 2026
Qwen3.8-2.4T-A95BreasoningAug 2026
Qwen3.8-27Bmultimodal LLMAug 2026
Wan2.2-Animate-2-14BavatarAug 2026
Qwen-Image-3.0image generationJul 2026
Qwen-Image-3.0-Proimage generationJul 2026
Wan-Dancer-14BavatarJul 2026
Qwen-AgentWorld-35B-A3BLLM23 Jun 2026
HappyHorse 1.1video generationJun 2026
Qwen3.6LLM21 Apr 2026
Happy Oysterworld model16 Apr 2026
Qwen3.6-35B-A3BLLM2 Apr 2026
HappyHorse 1.0video generationApr 2026
Qwen3.6-27Bmultimodal LLMApr 2026
Qwen3.6 Max PreviewLLMApr 2026
Qwen 3.6 PlusLLMApr 2026
Qwen3-VL-Embedding-2BembeddingApr 2026
Qwen3-VL-Embedding-8BembeddingApr 2026
Qwen3.5LLM2 Mar 2026
Qwen3.5-0.8Bmultimodal LLM2 Mar 2026
Qwen3.5-2Bmultimodal LLM2 Mar 2026
Qwen3.5-35B-A3BLLM2 Mar 2026
Qwen3.5-4Bmultimodal LLM2 Mar 2026
Qwen3.5-9Bmultimodal LLM2 Mar 2026
Qwen3.5 small (0.8B, 2B, 4B, 9B)multimodal LLM2 Mar 2026
Qwen3-Coder-Nextcode3 Feb 2026
Qwen3.5-122B-A10Bmultimodal LLMFeb 2026
Qwen3.5-397B-A17Bmultimodal LLMFeb 2026
Qwen3-ASRspeech recognition29 Jan 2026
Qwen3-ASR-0.6Bspeech recognition29 Jan 2026
Qwen3-ASR-1.7Bspeech recognition29 Jan 2026
Qwen3-TTS 12Hz 0.6Bspeech synthesis22 Jan 2026
Qwen3-TTS 12Hz 1.7Bspeech synthesis22 Jan 2026
Qwen3-VL-Rerankerreranker7 Jan 2026
Qwen3-VL-Reranker-2Breranker7 Jan 2026
Qwen3-VL-Reranker-8Breranker7 Jan 2026
Qwen-Image-2512image generation30 Dec 2025
Fun-ASR-Nano (Fun-ASR-Nano-2512)speech recognition15 Dec 2025
Qwen-Image-Layeredimage generationDec 2025
Ovis-Image 7Bimage generation28 Nov 2025
Z-Image Turboimage generation27 Nov 2025
Qwen3Guardguard16 Oct 2025
Qwen3Guard-Gen-0.6Bguard16 Oct 2025
Qwen3Guard-Gen-4Bguard16 Oct 2025
Qwen3Guard-Gen-8Bguard16 Oct 2025
Qwen3Guard-Stream-0.6Bguard16 Oct 2025
Qwen3Guard-Stream-4Bguard16 Oct 2025
Qwen3Guard-Stream-8Bguard16 Oct 2025
Qwen3-VL-8B-Instructmultimodal LLM11 Oct 2025
Qwen3-VL-235B-A22B-Instructmultimodal LLM22 Sep 2025
Qwen3-Omni-30B-A3B-Instructmultimodal LLM20 Sep 2025
Qwen3-Next-80B-A3B-InstructLLM9 Sep 2025
Wan2.2-S2V-14Bvideo generation25 Aug 2025
Qwen-Imageimage generation2 Aug 2025
Qwen-Imageimage generationAug 2025
Wan 2.2video generation28 Jul 2025
Wan 2.2 A14Bvideo generation28 Jul 2025
Wan 2.2 TI2V-5Bvideo generation28 Jul 2025
Qwen3-Codercode22 Jul 2025
Qwen3-Embedding-0.6BembeddingJun 2025
Qwen3-Embedding-4BembeddingJun 2025
Qwen3-Embedding-8BembeddingJun 2025
Qwen3-Reranker-0.6BrerankerJun 2025
Qwen3-Reranker-4BrerankerJun 2025
Qwen3-Reranker-8BrerankerJun 2025
Qwen3LLM29 Apr 2025
Qwen3-0.6B-BaseLLM28 Apr 2025
Qwen3-4B-BaseLLM28 Apr 2025
Qwen3-0.6BLLM27 Apr 2025
Qwen3-1.7BLLM27 Apr 2025
Qwen3-4BLLM27 Apr 2025
Qwen3-8BLLM27 Apr 2025
Qwen3-235B-A22BLLM27 Apr 2025
Qwen3-32BLLM27 Apr 2025
Qwen3-30B-A3BLLM27 Apr 2025
Qwen2.5-Omni-7Bmultimodal LLM22 Mar 2025
Wan-Fun (Wan2.1-Fun, Wan2.2-Fun)video generation17 Mar 2025
Wan2.1-VACE (1.3B, 14B)video generation10 Mar 2025
QwQ-32Breasoning6 Mar 2025
Wan 2.1 T2V 1.3Bvideo generation25 Feb 2025
Qwen2.5-MaxLLM28 Jan 2025
gte-reranker-modernbert-basereranker20 Jan 2025
ZipEnhancermusic and audio9 Jan 2025
Qwen3-Coder-30B-A3B-Instructcode2025
Qwen3-Coder-480B-A35B-Instructcode2025
Wan 2.1video generation2025
QVQ-72B-Previewreasoning24 Dec 2024
QwQ-32B-Previewreasoning28 Nov 2024
Qwen2.5-Coder 14Bcode8 Nov 2024
Qwen2.5-Coder-32B-Instructcode6 Nov 2024
Qwen2.5-Coder 1.5Bcode18 Sep 2024
Qwen2.5-32B-InstructLLM17 Sep 2024
Qwen2.5-0.5B-InstructLLM16 Sep 2024
Qwen2.5-72B-InstructLLM16 Sep 2024
Qwen2.5-7B-InstructLLM16 Sep 2024
Qwen2.5-Coder 7Bcode16 Sep 2024
Qwen2.5-Math-1.5BLLM16 Sep 2024
Qwen2.5-Math-7BLLM16 Sep 2024
Qwen2.5 0.5BLLM15 Sep 2024
Qwen2.5-14BLLM15 Sep 2024
Qwen2.5-32BLLM15 Sep 2024
Qwen2-VL 2Bmultimodal LLM5 Sep 2024
Qwen2-Audio-7B-Instructmultimodal LLM31 Jul 2024
gte-multilingual-baseembedding20 Jul 2024
gte-multilingual-reranker-basereranker20 Jul 2024
SenseVoiceSmallspeech recognition3 Jul 2024
gte-Qwen2-7B-instructembedding15 Jun 2024
Qwen2-7BLLM4 Jun 2024
UniAnimateavatar3 Jun 2024
emotion2vec+ largeaudio classification15 May 2024
Qwen1.5-110B-ChatLLM25 Apr 2024
gte-large-en-v1.5embedding20 Apr 2024
Qwen1.5LLM4 Feb 2024
Qwen1.5-72BLLM4 Feb 2024
FunASR Conformer (English)speech recognition1 Feb 2024
FSMN-VADaudio classification1 Feb 2024
MossFormer2music and audio19 Dec 2023
I2VGen-XLvideo generation7 Nov 2023
Qwen-14B-ChatLLM24 Sep 2023
Qwen-VL-Chatmultimodal LLM20 Aug 2023
GTE (General Text Embeddings)embedding27 Jul 2023
gte-largeembedding27 Jul 2023
gte-smallembedding27 Jul 2023
ERes2Netspeaker22 May 2023
ModelScope Text-to-Video (ModelScopeT2V)video generation22 Mar 2023
FRCRNmusic and audio15 Jun 2022
Paraformer-zh (+ streaming)speech recognition2022
SIM (Search-based Interest Model)recommendation10 Jun 2020
DIN (Deep Interest Network)recommendation21 Jun 2017
CAM++speaker–
Fun-ASR-MLT-Nanospeech recognition–
Lingjiang2.0time series–
QwenLLM–
Qwen TTS (Model Studio)speech synthesis–
Qwen2LLM–
Qwen2.5-Codercode–
Qwen3.5 Max PreviewLLM–
Qwen3.7 MaxLLM–
Qwen3.7 Max PreviewLLM–
qwen3.7-plusLLM–
qwen3.8-flashLLM–
Qwen3.8-Max-PrimeLLM–
qwen3.8-omni-flashmultimodal LLM–
qwen3.8-omni-flash-realtimemultimodal LLM–
Qwen3-ASR-Flash-1208speech recognition–
Wanvideo generation–
Wan 2.5video generation–
Wan 2.6video generation–
Wan 2.7video generation–
Z-Image Baseimage generation–Links
Organisation
Alibaba (Qwen)big tech, China
Alibaba (Qwen)big tech, ChinaModels
Qwen-Image-2.1Alibaba (Qwen), image generation
Qwen-Audio-3.1-TTS-PlusAlibaba (Qwen), speech synthesis
Qwen3.8-Flash-NextAlibaba (Qwen), multimodal LLM
Qwen3.8Alibaba (Qwen), LLM+151 more
Qwen-Image-2.1Alibaba (Qwen), image generation
Qwen-Audio-3.1-TTS-PlusAlibaba (Qwen), speech synthesis
Qwen3.8-Flash-NextAlibaba (Qwen), multimodal LLM
Qwen3.8Alibaba (Qwen), LLM+151 moreUse Casesnone recorded
Who Runs Itnone recorded
Models 155
Qwen3Alibaba (Qwen), LLMDeveloper
Qwen3.5Alibaba (Qwen), LLMDeveloper
WanAlibaba (Qwen), video generationDeveloper
Qwen3.8Alibaba (Qwen), LLMDeveloper
QwenAlibaba (Qwen), LLMDeveloper
Qwen-ImageAlibaba (Qwen), image generationDeveloper
Qwen3GuardAlibaba (Qwen), guardDeveloper
Wan 2.2Alibaba (Qwen), video generationDeveloper
GTE (General Text Embeddings)Alibaba (Qwen), embeddingDeveloper
Qwen3-8BAlibaba (Qwen), LLMDeveloper
Qwen3.5-397B-A17BAlibaba (Qwen), multimodal LLMDeveloper
Qwen-Image-2.1Alibaba (Qwen), image generationDeveloper+143
Qwen2.5-CoderAlibaba (Qwen), codeDeveloper
Qwen3-0.6BAlibaba (Qwen), LLMDeveloper
Qwen3-0.6B-BaseAlibaba (Qwen), LLMDeveloper
Qwen3-4BAlibaba (Qwen), LLMDeveloper
Qwen3-ASRAlibaba (Qwen), speech recognitionDeveloper
Qwen3-CoderAlibaba (Qwen), codeDeveloper
Qwen3-VL-RerankerAlibaba (Qwen), rerankerDeveloper
Qwen3.6-27BAlibaba (Qwen), multimodal LLMDeveloper
Qwen 3.6 PlusAlibaba (Qwen), LLMDeveloper
Qwen-AgentWorld-35B-A3BAlibaba (Qwen), LLMDeveloper
Qwen1.5Alibaba (Qwen), LLMDeveloper
Qwen2-VL 2BAlibaba (Qwen), multimodal LLMDeveloper
Qwen2.5-32BAlibaba (Qwen), LLMDeveloper
Qwen2.5-32B-InstructAlibaba (Qwen), LLMDeveloper
Qwen2.5-Coder-32B-InstructAlibaba (Qwen), codeDeveloper
Qwen3-1.7BAlibaba (Qwen), LLMDeveloper
Qwen3-235B-A22BAlibaba (Qwen), LLMDeveloper
Qwen3-30B-A3BAlibaba (Qwen), LLMDeveloper
Qwen3-4B-BaseAlibaba (Qwen), LLMDeveloper
Qwen3-VL-Embedding-2BAlibaba (Qwen), embeddingDeveloper
Qwen3-VL-Embedding-8BAlibaba (Qwen), embeddingDeveloper
Qwen3-VL-Reranker-2BAlibaba (Qwen), rerankerDeveloper
Qwen3-VL-Reranker-8BAlibaba (Qwen), rerankerDeveloper
Qwen3.6 Max PreviewAlibaba (Qwen), LLMDeveloper
Qwen3.6-35B-A3BAlibaba (Qwen), LLMDeveloper
Qwen3.8 MaxAlibaba (Qwen), multimodal LLMDeveloper
Qwen3.8-27BAlibaba (Qwen), multimodal LLMDeveloper
Qwen3.8-Flash-NextAlibaba (Qwen), multimodal LLMDeveloper
Wan 2.1Alibaba (Qwen), video generationDeveloper
Wan 2.5Alibaba (Qwen), video generationDeveloper
Wan 2.6Alibaba (Qwen), video generationDeveloper
Wan 2.7Alibaba (Qwen), video generationDeveloper
gte-largeAlibaba (Qwen), embeddingDeveloper
gte-large-en-v1.5Alibaba (Qwen), embeddingDeveloper
gte-Qwen2-7B-instructAlibaba (Qwen), embeddingDeveloper
gte-smallAlibaba (Qwen), embeddingDeveloper
Qwen-ImageAlibaba (Qwen), image generationDeveloper
Qwen-Image-2512Alibaba (Qwen), image generationDeveloper
Qwen-Image-LayeredAlibaba (Qwen), image generationDeveloper
Qwen2Alibaba (Qwen), LLMDeveloper
Qwen2-7BAlibaba (Qwen), LLMDeveloper
Qwen2.5 0.5BAlibaba (Qwen), LLMDeveloper
Qwen2.5-7B-InstructAlibaba (Qwen), LLMDeveloper
Qwen2.5-MaxAlibaba (Qwen), LLMDeveloper
Qwen3-32BAlibaba (Qwen), LLMDeveloper
Qwen3-Coder-30B-A3B-InstructAlibaba (Qwen), codeDeveloper
Qwen3-Coder-480B-A35B-InstructAlibaba (Qwen), codeDeveloper
Qwen3-Coder-NextAlibaba (Qwen), codeDeveloper
Qwen3-Embedding-0.6BAlibaba (Qwen), embeddingDeveloper
Qwen3-Embedding-4BAlibaba (Qwen), embeddingDeveloper
Qwen3-Embedding-8BAlibaba (Qwen), embeddingDeveloper
Qwen3-Reranker-0.6BAlibaba (Qwen), rerankerDeveloper
Qwen3-Reranker-4BAlibaba (Qwen), rerankerDeveloper
Qwen3-Reranker-8BAlibaba (Qwen), rerankerDeveloper
Qwen3-VL-235B-A22B-InstructAlibaba (Qwen), multimodal LLMDeveloper
Qwen3.5-122B-A10BAlibaba (Qwen), multimodal LLMDeveloper
Qwen3.6Alibaba (Qwen), LLMDeveloper
Qwen3.7 Max PreviewAlibaba (Qwen), LLMDeveloper
Qwen3.8-2.4T-A95BAlibaba (Qwen), reasoningDeveloper
qwen3.8-omni-flashAlibaba (Qwen), multimodal LLMDeveloper
qwen3.8-omni-flash-realtimeAlibaba (Qwen), multimodal LLMDeveloper
Qwen3Guard-Stream-4BAlibaba (Qwen), guardDeveloper
QwQ-32BAlibaba (Qwen), reasoningDeveloper
QwQ-32B-PreviewAlibaba (Qwen), reasoningDeveloper
Wan 2.1 T2V 1.3BAlibaba (Qwen), video generationDeveloper
Wan 3.0Alibaba (Qwen), video generationDeveloper
Fun-ASR-Nano (Fun-ASR-Nano-2512)Alibaba (Qwen), speech recognitionDeveloper
FunASR Conformer (English)Alibaba (Qwen), speech recognitionDeveloper
gte-multilingual-baseAlibaba (Qwen), embeddingDeveloper
gte-multilingual-reranker-baseAlibaba (Qwen), rerankerDeveloper
gte-reranker-modernbert-baseAlibaba (Qwen), rerankerDeveloper
HappyHorse 1.0Alibaba (Qwen), video generationDeveloper
HappyHorse 1.1Alibaba (Qwen), video generationDeveloper
Paraformer-zh (+ streaming)Alibaba (Qwen), speech recognitionDeveloper
QVQ-72B-PreviewAlibaba (Qwen), reasoningDeveloper
Qwen-14B-ChatAlibaba (Qwen), LLMDeveloper
Qwen-Audio-3.1-TTS-PlusAlibaba (Qwen), speech synthesisDeveloper
Qwen-Image-3.0Alibaba (Qwen), image generationDeveloper
Qwen-Image-3.0-ProAlibaba (Qwen), image generationDeveloper
Qwen1.5-110B-ChatAlibaba (Qwen), LLMDeveloper
Qwen1.5-72BAlibaba (Qwen), LLMDeveloper
Qwen2.5-0.5B-InstructAlibaba (Qwen), LLMDeveloper
Qwen2.5-14BAlibaba (Qwen), LLMDeveloper
Qwen2.5-72B-InstructAlibaba (Qwen), LLMDeveloper
Qwen2.5-Coder 1.5BAlibaba (Qwen), codeDeveloper
Qwen2.5-Coder 14BAlibaba (Qwen), codeDeveloper
Qwen2.5-Coder 7BAlibaba (Qwen), codeDeveloper
Qwen2.5-Math-1.5BAlibaba (Qwen), LLMDeveloper
Qwen2.5-Math-7BAlibaba (Qwen), LLMDeveloper
Qwen3-ASR-0.6BAlibaba (Qwen), speech recognitionDeveloper
Qwen3-ASR-1.7BAlibaba (Qwen), speech recognitionDeveloper
Qwen3-ASR-Flash-1208Alibaba (Qwen), speech recognitionDeveloper
Qwen3-Next-80B-A3B-InstructAlibaba (Qwen), LLMDeveloper
Qwen3-TTS 12Hz 1.7BAlibaba (Qwen), speech synthesisDeveloper
Qwen3-VL-8B-InstructAlibaba (Qwen), multimodal LLMDeveloper
Qwen3.5 Max PreviewAlibaba (Qwen), LLMDeveloper
Qwen3.5 small (0.8B, 2B, 4B, 9B)Alibaba (Qwen), multimodal LLMDeveloper
Qwen3.5-0.8BAlibaba (Qwen), multimodal LLMDeveloper
Qwen3.5-2BAlibaba (Qwen), multimodal LLMDeveloper
Qwen3.5-35B-A3BAlibaba (Qwen), LLMDeveloper
Qwen3.5-4BAlibaba (Qwen), multimodal LLMDeveloper
Qwen3.5-9BAlibaba (Qwen), multimodal LLMDeveloper
qwen3.8-flashAlibaba (Qwen), LLMDeveloper
Qwen3.8-Max-PrimeAlibaba (Qwen), LLMDeveloper
Qwen3Guard-Gen-0.6BAlibaba (Qwen), guardDeveloper
Qwen3Guard-Gen-4BAlibaba (Qwen), guardDeveloper
Qwen3Guard-Gen-8BAlibaba (Qwen), guardDeveloper
Qwen3Guard-Stream-0.6BAlibaba (Qwen), guardDeveloper
Qwen3Guard-Stream-8BAlibaba (Qwen), guardDeveloper
SenseVoiceSmallAlibaba (Qwen), speech recognitionDeveloper
Wan 2.2 A14BAlibaba (Qwen), video generationDeveloper
Wan 2.2 TI2V-5BAlibaba (Qwen), video generationDeveloper
Wan-Fun (Wan2.1-Fun, Wan2.2-Fun)Alibaba (Qwen), video generationDeveloper
Wan2.1-VACE (1.3B, 14B)Alibaba (Qwen), video generationDeveloper
Wan2.2-S2V-14BAlibaba (Qwen), video generationDeveloper
Z-Image BaseAlibaba (Qwen), image generationDeveloper
Z-Image TurboAlibaba (Qwen), image generationDeveloper
CAM++Alibaba (Qwen), speakerDeveloper
DIN (Deep Interest Network)Alibaba (Qwen), recommendationDeveloper
emotion2vec+ largeAlibaba (Qwen), audio classificationDeveloper
ERes2NetAlibaba (Qwen), speakerDeveloper
FRCRNAlibaba (Qwen), music and audioDeveloper
FSMN-VADAlibaba (Qwen), audio classificationDeveloper
Fun-ASR-MLT-NanoAlibaba (Qwen), speech recognitionDeveloper
Happy OysterAlibaba (Qwen), world modelDeveloper
I2VGen-XLAlibaba (Qwen), video generationDeveloper
Lingjiang2.0Alibaba (Qwen), time seriesDeveloper
ModelScope Text-to-Video (ModelScopeT2V)Alibaba (Qwen), video generationDeveloper
MossFormer2Alibaba (Qwen), music and audioDeveloper
Ovis-Image 7BAlibaba (Qwen), image generationDeveloper
Qwen TTS (Model Studio)Alibaba (Qwen), speech synthesisDeveloper
Qwen-VL-ChatAlibaba (Qwen), multimodal LLMDeveloper
Qwen2-Audio-7B-InstructAlibaba (Qwen), multimodal LLMDeveloper
Qwen2.5-Omni-7BAlibaba (Qwen), multimodal LLMDeveloper
Qwen3-Omni-30B-A3B-InstructAlibaba (Qwen), multimodal LLMDeveloper
Qwen3-TTS 12Hz 0.6BAlibaba (Qwen), speech synthesisDeveloper
Qwen3.7 MaxAlibaba (Qwen), LLMDeveloper
qwen3.7-plusAlibaba (Qwen), LLMDeveloper
SIM (Search-based Interest Model)Alibaba (Qwen), recommendationDeveloper
UniAnimateAlibaba (Qwen), avatarDeveloper
Wan-Dancer-14BAlibaba (Qwen), avatarDeveloper
Wan2.2-Animate-2-14BAlibaba (Qwen), avatarDeveloper
ZipEnhancerAlibaba (Qwen), music and audioDeveloperScores
| Benchmark | Model | Score | Who ran it | Setting |
|---|---|---|---|---|
| AIME | QwQ-32B-Preview | 50 % | vendor-reported | |
| AIME24 | Qwen2.5-32B-Instruct | 26.7 % | vendor-reported | baseline reported in the s1 paper |
| Arena Text leaderboard | qwen3.7-plus | rank only | independent | |
| Arena Text leaderboard | Qwen3.8 Max | 1,483 Elo | independent | |
| Arena Vision leaderboard | Qwen3.8 Max | 1,301 Elo | independent | |
| Artificial Analysis Intelligence Index | Qwen3.8 Max | 45 index | independent | 0902 |
| Artificial Analysis Intelligence Index | Qwen3.8 Max | 45 index | independent | Qwen3.8 Max (0902) |
| Artificial Analysis Intelligence Index | Qwen3.8-2.4T-A95B | 40 index | independent | |
| Artificial Analysis Intelligence Index | Qwen3.8-2.4T-A95B | 40 index | independent | Qwen3.8 2.4T A95B |
| Artificial Analysis Text-to-Image Arena | Qwen-Image-2.1 | 1,038 Elo | independent | rank shown as 19-23; top open-weights model per AA FAQ |
| Artificial Analysis Text-to-Image Arena | Qwen-Image-3.0 | 1,074 Elo | independent | |
| Artificial Analysis Text-to-Image Arena | Qwen-Image-3.0-Pro | 1,088 Elo | independent | rank shown as 15-17 |
| Artificial Analysis Text-to-Image Arena | Z-Image Turbo | 941 Elo | independent | approximate rank |
| Artificial Analysis Text-to-Speech Arena | Qwen-Audio-3.1-TTS-Plus | 1,298 Elo | independent | |
| Artificial Analysis Text-to-Video leaderboard | HappyHorse 1.1 | 1,042 Elo | independent | |
| Artificial Analysis Text-to-Video leaderboard | Wan 3.0 | 1,156 Elo | independent | |
| C-Eval | Qwen1.5-72B | 84.1 % | vendor-reported | |
| CMMLU | Qwen1.5-72B | 83.5 % | vendor-reported | |
| FLEURS | Qwen3-ASR-0.6B | 7.92 WER | vendor-reported | FLEURS Indonesian, Table A.2 |
| FLEURS | Qwen3-ASR-1.7B | 5.16 WER | vendor-reported | FLEURS Indonesian, Table A.2 |
| FLEURS | Qwen3-ASR-Flash-1208 | 3.65 WER | vendor-reported | FLEURS Indonesian, Table A.2 |
| GIFT-Eval | Lingjiang2.0 | 0.457 CRPS (geo-mean, normalised to Seasonal Naive) | independent | zero-shot; rank is average CRPS rank |
| GIFT-Eval | Lingjiang2.0 | 0.666 MASE (geo-mean, normalised to Seasonal Naive) | independent | zero-shot |
| GPQA | Qwen3.5-397B-A17B | 88.4 % | vendor-reported | |
| GPQA | QwQ-32B-Preview | 65.2 % | vendor-reported | |
| GPQA Diamond | Qwen3.5-9B | 81.7 % | vendor-reported | Not independently verified |
| GPQA Diamond | Qwen3.8-2.4T-A95B | 92.6 % | vendor-reported | |
| GPQA Diamond | Qwen3.8-27B | 89.2 % | vendor-reported | |
| GPQA Diamond | Qwen3.8-Flash-Next | 91.7 % | vendor-reported | |
| GSM8K | Qwen1.5-72B | 79.5 % | vendor-reported | |
| Hugging Face Open ASR Leaderboard | Qwen3-ASR-0.6B | 6.42 WER | maintainer-run | eight-set macro-average English WER |
| Hugging Face Open ASR Leaderboard | Qwen3-ASR-1.7B | 5.76 WER | maintainer-run | eight-set macro-average English WER |
| HumanEval | Qwen-14B-Chat | 43.9 % | vendor-reported | 0-shot pass@1 |
| HumanEval | Qwen1.5-72B | 41.5 % | vendor-reported | |
| Humanity's Last Exam (HLE) | Qwen3.8-2.4T-A95B | 43.6 % | vendor-reported | |
| LiveCodeBench | Qwen3.8-27B | 90.3 % | vendor-reported | |
| LiveCodeBench | Qwen3.8-27B | 90.3 % | vendor-reported | LiveCodeBench v6 |
| LiveCodeBench | Qwen3.8-Flash-Next | 91.9 % | vendor-reported | |
| LiveCodeBench | QwQ-32B-Preview | 50 % | vendor-reported | |
| LMArena Text-to-Image Arena | Qwen-Image-2.1 | 1,223 Elo | independent | preliminary |
| LMArena Text-to-Image Arena | Qwen-Image-3.0-Pro | 1,255 Elo | independent | |
| LMArena Text-to-Video Arena | HappyHorse 1.0 | 1,427 Elo | independent | |
| LMArena Text-to-Video Arena | Wan 2.7 | 1,337 Elo | independent | wan2.7-t2v |
| LMArena Text-to-Video Arena | Wan 3.0 | 1,476 Elo | independent | |
| MATH | Qwen1.5-72B | 34.1 % | vendor-reported | |
| MATH500 | QwQ-32B-Preview | 90.6 % | vendor-reported | |
| MBPP | Qwen1.5-72B | 53.4 % | vendor-reported | |
| MMLU | Qwen-14B-Chat | 66.5 % | vendor-reported | 5-shot |
| MMLU | Qwen1.5-72B | 77.5 % | vendor-reported | 5-shot |
| MMLU-Pro | Qwen3.5-397B-A17B | 87.8 % | vendor-reported | |
| MMLU-Pro | Qwen3.5-4B | 79.1 % | vendor-reported | Not independently verified |
| MMLU-Pro | Qwen3.5-9B | 82.5 % | vendor-reported | Not independently verified |
| MMLU-Pro | Qwen3.6-27B | 86.2 % | vendor-reported | |
| MMLU-Pro | Qwen3.7 Max | 89.6 % | vendor-reported | |
| MMTEB-R (reranking) | Qwen3-Reranker-8B | 72.94 score | vendor-reported | |
| MT-Bench | Qwen1.5-110B-Chat | 8.88 score | vendor-reported | average score |
| MTEB multilingual | Qwen3-Embedding-8B | 70.58 score | vendor-reported | |
| MTEB-R (reranking) | Qwen3-Reranker-8B | 69.02 score | vendor-reported | |
| OSWorld-Verified | Qwen3.8 Max | 86.1 % | vendor-reported | The genealogy notes label the holder open weights; not supported by its sources |
| Qwen-Image-Bench | Qwen-Image-2.1 | 60.28 score | vendor-reported | Qwen chart only; methodology unreleased |
| Qwen-Image-Bench | Qwen-Image-3.0-Pro | 62.36 score | vendor-reported | Qwen chart only; methodology unreleased |
| SEA-HELM | Qwen3-8B | 60.33 score | maintainer-run | Checkpoint Qwen3-8B as listed; release view (data last updated 18 Sep 2026); score is the average of 2000 bootstraps |
| SEA-HELM | Qwen3-8B | 69.36 score | maintainer-run | Checkpoint Qwen3-8B as listed; release view (data last updated 18 Sep 2026); score is the average of 2000 bootstraps |
| SEA-HELM | Qwen3-VL-8B-Instruct | 56.6 score | maintainer-run | Checkpoint Qwen3-VL-8B-Instruct as listed; release view (data last updated 18 Sep 2026); score is the average of 2000 bootstraps |
| SEA-HELM | Qwen3-VL-8B-Instruct | 67.46 score | maintainer-run | Checkpoint Qwen3-VL-8B-Instruct as listed; release view (data last updated 18 Sep 2026); score is the average of 2000 bootstraps |
| SEA-HELM | Qwen3.5-122B-A10B | 74.66 score | maintainer-run | |
| SEA-HELM | Qwen3.5-122B-A10B | 77.93 index | maintainer-run | Indonesian |
| SEA-HELM | Qwen3.5-122B-A10B | 77.93 score | maintainer-run | |
| SEA-HELM | Qwen3.5-35B-A3B | 73.55 score | maintainer-run | Checkpoint Qwen3.5-35B-A3B as listed; release view (data last updated 18 Sep 2026); score is the average of 2000 bootstraps |
| SEA-HELM | Qwen3.5-35B-A3B | 77.55 score | maintainer-run | Checkpoint Qwen3.5-35B-A3B as listed; release view (data last updated 18 Sep 2026); score is the average of 2000 bootstraps |
| SEA-HELM | Qwen3.5-4B | 63.82 score | maintainer-run | Checkpoint Qwen3.5-4B as listed; release view (data last updated 18 Sep 2026); score is the average of 2000 bootstraps |
| SEA-HELM | Qwen3.5-4B | 69.66 score | maintainer-run | Checkpoint Qwen3.5-4B as listed; release view (data last updated 18 Sep 2026); score is the average of 2000 bootstraps |
| SEA-HELM | Qwen3.5-9B | 69.13 score | maintainer-run | Checkpoint Qwen3.5-9B as listed; release view (data last updated 18 Sep 2026); score is the average of 2000 bootstraps |
| SEA-HELM | Qwen3.5-9B | 74.23 score | maintainer-run | Checkpoint Qwen3.5-9B as listed; release view (data last updated 18 Sep 2026); score is the average of 2000 bootstraps |
| SEA-HELM | Qwen3.6-27B | 74.64 score | maintainer-run | |
| SEA-HELM | Qwen3.6-27B | 77.96 index | maintainer-run | Indonesian |
| SEA-HELM | Qwen3.6-27B | 77.96 score | maintainer-run | |
| SEA-HELM | Qwen3.6-35B-A3B | 73.86 score | maintainer-run | Checkpoint Qwen3.6-35B-A3B as listed; release view (data last updated 18 Sep 2026); score is the average of 2000 bootstraps |
| SEA-HELM | Qwen3.6-35B-A3B | 77.29 score | maintainer-run | Checkpoint Qwen3.6-35B-A3B as listed; release view (data last updated 18 Sep 2026); score is the average of 2000 bootstraps |
| SEA-HELM | Qwen3.8-Flash-Next | 73.04 score | maintainer-run | Checkpoint Qwen3.8-Flash-Next as listed; release view (data last updated 18 Sep 2026); score is the average of 2000 bootstraps |
| SEA-HELM | Qwen3.8-Flash-Next | 79.04 score | maintainer-run | Checkpoint Qwen3.8-Flash-Next as listed; release view (data last updated 18 Sep 2026); score is the average of 2000 bootstraps |
| SWE-bench Pro | Qwen3-Coder-480B-A35B-Instruct | 38.7 % | vendor-reported | |
| SWE-bench Pro | Qwen3-Coder-Next | 44.3 % | vendor-reported | scaffold not stated |
| SWE-bench Pro | Qwen3.8-2.4T-A95B | 67.7 % | vendor-reported | |
| SWE-bench Pro | Qwen3.8-27B | 61.7 % | vendor-reported | |
| SWE-bench Pro | Qwen3.8-27B | 61.7 % | vendor-reported | |
| SWE-bench Pro | Qwen3.8-Flash-Next | 62.5 % | vendor-reported | |
| SWE-bench Verified | Qwen 3.6 Plus | 78.8 % | vendor-reported | |
| SWE-bench Verified | Qwen3-Coder-Next | 70.6 % | vendor-reported | scaffold not stated |
| SWE-bench Verified | Qwen3.5-397B-A17B | 76.4 % | vendor-reported | |
| SWE-bench Verified | Qwen3.6-27B | 77.2 % | vendor-reported | |
| SWE-bench Verified | Qwen3.6-35B-A3B | 73.4 % | vendor-reported | |
| Terminal-Bench | Qwen3-Coder-480B-A35B-Instruct | 23.9 % | vendor-reported | |
| Terminal-Bench | Qwen3-Coder-Next | 36.2 % | vendor-reported | scaffold not stated |
| Terminal-Bench | Qwen3.6-35B-A3B | 51.5 % | vendor-reported | |
| Terminal-Bench | Qwen3.8-2.4T-A95B | 86.6 % | vendor-reported | |
| Terminal-Bench | Qwen3.8-27B | 73 % | vendor-reported | Terminus |
| VBench | Wan 2.1 | 86.22 % | maintainer-run | Total score; submission-based board |
| VBench | Wan 2.1 | 86.67 % | maintainer-run | Quality score; submission-based board |
Where this comes from
Every recorded score of this organisation's models, with who ran it. Scores from different settings are not directly comparable.
Sources
- Qwen3.8 Max (0902) - Intelligence, Performance & Price Analysis | Artificial Analysis artificialanalysis.ai https://artificialanalysis.ai/models/qwen3-8-max
- Recommended models - Alibaba Cloud alibabacloud.com https://www.alibabacloud.com/help/en/model-studio/models
- Qwen (Qwen) huggingface.co https://huggingface.co/Qwen
- Gladia - Best open-source speech-to-text models in 2026 gladia.io https://www.gladia.io/blog/best-open-source-speech-to-text-models
- GitHub - modelscope/FunASR: Open-source speech recognition toolkit for training, inference, streaming ASR, VAD, punctuation, speaker diariza github.com https://github.com/modelscope/FunASR
- Alibaba Group - Wikipedia en.wikipedia.org https://en.wikipedia.org/wiki/Alibaba_Group
- Qwen 3.5 Small Models: 9B Parameters That Beat 120B rits.shanghai.nyu.edu https://rits.shanghai.nyu.edu/ai/qwen-3-5-small-models-9b-parameters-that-beat-120b
- 9个月内用户增长千万 魔搭社区已服务2500万开发者 stdaily.com https://www.stdaily.com/web/gdxw/2026-03/22/content_490099.html
- How we built a custom vision LLM to improve document processing at Grab engineering.grab.com https://engineering.grab.com/custom-vision-llm-at-grab
- aisingapore/Qwen-SEA-LION-v4.5-27B-IT , Hugging Face huggingface.co https://huggingface.co/aisingapore/Qwen-SEA-LION-v4.5-27B-IT
- Qwen3 Technical Report arxiv.org https://arxiv.org/abs/2505.09388
To cite this page: Project AURION, AI Use-Cases Research & Innovation, "Alibaba (Qwen)", https://aurion.semai.id/organisations/alibaba/, records of October 2026.