How did Alibaba Qwen Qwen3 do on X?
Alibaba Qwen posted the Qwen3 launch from @Alibaba_Qwen on Apr 28, 2025. The post has 2,218,259 views, 7,903 likes, 1,543 reposts, 622 quotes and 344 replies, an engagement rate of 0.47%. It ranks #367 of the 3,785 launches Gridd tracks.
Introducing Qwen3! We release and open-weight Qwen3, our latest large language models, including 2 MoE models and 6 dense models, ranging from 0.6B to 235B. Our flagship model, Qwen3-235B-A22B, achieves competitive results in benchmark evaluations of coding, math, general capabilities, etc., when compared to other top-tier models such as DeepSeek-R1, o1, o3-mini, Grok-3, and Gemini-2.5-Pro. Additionally, the small MoE model, Qwen3-30B-A3B, outcompetes QwQ-32B with 10 times of activated parameters, and even a tiny model like Qwen3-4B can rival the performance of Qwen2.5-72B-Instruct. For more information, feel free to try them out in Qwen Chat Web (https://chat.qwen.ai) and APP and visit our GitHub, HF, ModelScope, etc. Blog: https://qwenlm.github.io/blog/qwen3/ GitHub: https://github.com/QwenLM/Qwen3 Hugging Face: https://huggingface.co/collections/Qwen/qwen3-67dd247413f0e2e4f653967f ModelScope: https://modelscope.cn/collections/Qwen3-9743180bdc6b48 The post-trained models, such as Qwen3-30B-A3B, along with their pre-trained counterparts (e.g., Qwen3-30B-A3B-Base), are now available on platforms like Hugging Face, ModelScope, and Kaggle. For deployment, we recommend using frameworks like SGLang and vLLM. For local usage, tools such as Ollama, LMStudio, MLX, llama.cpp, and KTransformers are highly recommended. These options ensure that users can easily integrate Qwen3 into their workflows, whether in research, development, or production environments. Hope you enjoy our new models!
- 19xthe median launch119.4K median views
- #367of the launches we trackout of 3,785
- 7.0xits own following316,612 followers
- Views
- 2.2M
- Likes
- 7.9K
- Reposts
- 1.5K
- Quotes
- 622
- Replies
- 344
- Bookmarks
- 1.8K
What would these views cost to buy?
At $100 per 1,000 views, the rate a brand pays an agency charging $100K for one million views, 2.2M views would cost $222K. At Gridd's rate of about $25 per 1,000 views, the same views would cost about $55K.
The post reached about 7.0 views for every follower of @Alibaba_Qwen.
What launched?
Alibaba Qwen released and open-weighted Qwen3, a family of language models including 2 MoE models and 6 dense models.
How does it compare with other launches?
Alibaba Qwen Qwen3 has more views than 90% of the 3,785 launches Gridd tracks: 19x the median launch's 119.4K views.
- Alibaba Qwen Qwen32.2M
- Median tracked launch119.4K
- #1: xAI Voice Cloning204M
| Metric | Alibaba Qwen Qwen3 | Median launch |
|---|---|---|
| Views | 2.2M | 119.4K |
| Engagement rate | 0.47% | 0.58% |
| Views per follower | 7.0 | 1.5 |
| Quote posts | 622 | 20 |
| Saves per 10K views | 8.2 | 15.0 |
Other Alibaba Qwen launches we track: Qwen3.8-Max (7.7M views), Qwen-Image-2.1 (2.6M views), Qwen3-Coder (2.3M views), Qwen3.5-397B-A17B (1.3M views), Qwen-Image-Layered (1.2M views), Qwen3-Max (734.6K views). All 34 Alibaba Qwen launches, or every AI launch.
Against launches like it
A launch only means something against comparable ones. These are the groups it belongs to, and where it sits in each.
| Compared with | Launches | Median views | This one | Rank |
|---|---|---|---|---|
| AI launches | 1,818 | 194.6K | 11x | #218 |
| Accounts 100K to 1M followers | 1,516 | 113.9K | 19x | #107 |
| Image launch posts | 897 | 84.9K | 26x | #81 |
| Every launch | 3,785 | 119.4K | 19x | #367 |
What this launch shows
From an account with 316.6K followers, the post reached 7.0 times the account's following. Launches from accounts 100K to 1M followers reach a median of 0.5 times their following, so this one went about 14 times further than usual for its size. It ranks 107 of 1516 launches from accounts that size.
It drew 622 quote posts, 2.8 per 10,000 views against a median of 1.7. More people than usual added their own take, and a quote post is what carries a launch to audiences the account does not have.
The first line is "Introducing Qwen3!". The post runs 184 words, against a median of 38 for launch posts here, and leads with an image: image launches have a median of 84.9K views, against 130.9K for the rest.
There is a link in the post. Launch posts with a link have a median of 109.6K views in the tracker.
It went out on a Monday (UTC). Monday launches have a median of 131.2K views; the strongest day is Tuesday at 137.9K.
Every comparison is against the 3,785 launches in the tracker, read on Nov 14, 2026. Medians, not averages. See the state of launches on X for the full breakdown.
Questions about this launch
- What is Alibaba Qwen?
- In its own words on X: "Open foundation models for AGI." Alibaba Qwen posted the Qwen3 launch from @Alibaba_Qwen on Apr 28, 2025.
- How many views did Alibaba Qwen Qwen3 get on X?
- 2,218,259 views. Alibaba Qwen posted it from @Alibaba_Qwen on Apr 28, 2025, and the post has 7,903 likes, 1,543 reposts, 622 quotes, 344 replies and 1,814 bookmarks. Gridd re-reads these numbers from the post every six hours; these were read on Nov 14, 2026.
- Was Alibaba Qwen Qwen3 a big launch on X?
- It ranks #367 of the 3,785 launches Gridd tracks, with more views than 90% of them and 19x the median launch's 119.4K views. Its engagement rate is 0.47%, against a median of 0.58%.
- What would 2.2M views on X cost to buy?
- At $100 per 1,000 views, the rate a brand pays an agency charging $100K for one million views, 2.2M views would cost $222K. At Gridd's rate of about $25 per 1,000 views, the same views would cost about $55K.
Source: Gridd launch tracker, gridd.agency/launches/alibaba-qwen-qwen3, read from the post on X on Nov 14, 2026. Free to cite with a link (CC BY 4.0). Get every launch as JSON.