Top Tweets for #URSAbench
Everyone is asking: how is new Qwen 3.8-Max in #URSAbench for synthesis planning ⁉️
1⃣ Well, it is much better than new Kimi K3
2⃣ Winter ❄️ (3.5) to summer, ☀️ Qwen's performance boosted +650% 🚀 , while Kimi is only +60%
3⃣ Qwen reached the level of Grok 4.5 (not bad), but beyond Opus (19%) and Sol 5.6 (26%).
Great job so far @Ali_TongyiLab @Alibaba_Qwen 👏
For more details, check our Benchmark Explorer at #DDDBench by @InSilicoMeds ⬇️
Remarkable evolution from Anthropic. This leap from Opus 4.8 to 5.0 on #URSAbench shows how rapidly LLMs are improving at synthesis planning.
The specialized tools still hold a lead.
Will next-generation models finally close the gap, or will hybrid approaches remain essential?
I am not a specialist in all of these disproved/proved conjectures and Erdős problems. But as a chemist I can see decisive improvements by the frontier models by @AnthropicAI to solve synthesis planning without ANY tools/orchestration.
Opus 5.0 has jumped 90% ! (10 to 19) on our hardest #URSAbench set from Opus 4.8! Amazing progress 🚀! Kudos to @mgdurrant @nc_frey @dagarfield @AlecTPhD 👏
Big jump from @AnthropicAI: Opus 5.0 improves 90% (10→19) on the hardest #URSAbench synthesis-planning set vs Opus 4.8 — and without ANY tools or orchestration. #LLMEvals #AI4DD
I am not a specialist in all of these disproved/proved conjectures and Erdős problems. But as a chemist I can see decisive improvements by the frontier models by @AnthropicAI to solve synthesis planning without ANY tools/orchestration.
Opus 5.0 has jumped 90% ! (10 to 19) on our hardest #URSAbench set from Opus 4.8! Amazing progress 🚀! Kudos to @mgdurrant @nc_frey @dagarfield @AlecTPhD 👏
📢Meet Qwen3.8-Max — our most capable model to date.
Next week, the open weights of Qwen3.8-Max will be released, and Qwen3.8-27B is also going open-weights to meet you all!🎉
Qwen3.8-Max, a new bar for coding and cowork at 2.4T parameters:
- Autonomous coding: 10+ days of self-evolving development, from empty folder to production without hand-holding, complete project trace in the GitHub：https://t.co/iVHZWQoeSo
- Real work, real results: Production-quality deliverables across hundreds of professions.
- Long-horizon mastery: System-level autonomous planning with closed-loop adaptive learning, driving 500+ turns of chip design optimization and 365 days of e-commerce strategy.
- Native multimodal intelligence: Vision isn't just input — it's a continuous feedback loop for planning, execution, and self-correction.
💰Pricing:
Input: $2.0 / M tokens
Output: $6.0 / M tokens
Implicit Caching: $0.25 / M tokens
Start building with Qwen3.8-Max! 🚀
📖 Blog: https://t.co/iwjmQxLBof
✅ Qwen Studio: https://t.co/4V2pFvDovG
⚡ API: https://t.co/gAGqaLQGbN
For more details read and try our #URSAbench
🧪URSA Benchmarking sets: https://t.co/nK5hdaWYRg
📊URSA GitHub Repo: https://t.co/BAofGyYjMK
📜URSA preprint: https://t.co/gre6FoMMMP
Meet our #DDDBench for synthetic chemistry 🧪! Here are new results for Opus 5.0, Kimi K3, 5.6 Sol ☀️, Luna 🌒 and Terra🌎 ! The Insilico Index is heavily dependent on our #URSAbench with primary focus on multi-step synthesis planning. Kudos 🏆 to @sama @maggie_hott @joyjiao12
Most Popular Users
Elon Musk 
@elonmusk
241.6M followers
Barack Obama
@barackobama
119M followers
Cristiano Ronaldo
@cristiano
114.2M followers
Donald J. Trump
@realdonaldtrump
111.8M followers
Narendra Modi
@narendramodi
107.2M followers
Rihanna
@rihanna
98.7M followers
NASA
@nasa
92.4M followers
Justin Bieber
@justinbieber
91.8M followers
KATY PERRY
@katyperry
89.9M followers
Taylor Swift
@taylorswift13
83.8M followers
Lady Gaga
@ladygaga
75.3M followers
Virat Kohli
@imvkohli
73.2M followers
Kim Kardashian
@kimkardashian
70.8M followers
YouTube
@youtube
68.8M followers
Neymar Jr
@neymarjr
66.2M followers
Bill Gates
@billgates
65M followers
Selena Gomez
@selenagomez
63M followers
The Ellen Show
@theellenshow
62.3M followers
CNN
@cnn
61.8M followers
X
@x
60.7M followers