X：阿里云 / Alibaba Cloud

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Salute to the Qwen team 🫡 We tested Qwen 3.7-Max, Gemini 3.5 Flash, GPT-5.5, and Claude Opus 4.7. The biggest shock came from Qwen. In less than a month (3.6 Max dropped April 20), Qwen went from the worst multimodal output on our sakura tree test, barely keeping up with Gemini, GPT, and Claude , to matching Gemini 3.5 Flash frame for frame on this soccer test, and outperforming GPT-5.5 and Claude Opus 4.7. It rendered a perfectly proportioned soccer player and the most lifelike ball in the entire test. Remarkable spatial reasoning. Also: Gemini 3.5 Flash is now faster than GPT-5.5, which used to be the fastest in our past tests. Video

𝟰 𝗱𝗮𝘆𝘀 𝘁𝗼 𝗴𝗼. Turn your chats into a living memory. That's what 𝗕𝗲𝗲𝘃𝗲𝗿 𝗔𝘁𝗹𝗮𝘀 does — and we're unveiling it in Canada at the Beever AI Toronto Showcase, the Toronto Tech Week Kickoff on Mon May 25. 🔗 𝗥𝗦𝗩𝗣: luma.com/h8cywa6z This 5-second video was generated with 𝗛𝗮𝗽𝗽𝘆𝗛𝗼𝗿𝘀𝗲 on Alibaba Cloud Model Studio. Every attendee at the showcase will generate one themselves. 𝗪𝗵𝗮𝘁 𝘄𝗲'𝗿𝗲 𝘀𝗵𝗼𝘄𝗰𝗮𝘀𝗶𝗻𝗴: 𝟭. 𝗕𝗲𝗲𝘃𝗲𝗿 𝗔𝘁𝗹𝗮𝘀 — Canadian unveiling (open-source, Apache 2.0) Beever Atlas turns your team's chat — across Slack, Microsoft Teams, Discord, Telegram, and Mattermost — into a living memory. Every conversation becomes searchable. Every decision stays retrievable. Any AI assistant can use it. 👉 lnkd.in/eZ7Keqaw 👉 beever.ai 𝟮. 𝗩𝗼𝘁𝗲𝗲 𝗠𝗔𝗚𝗜𝗖 — global commercial launch Our enterprise LLM training platform that lets organizations build, train, and own their domain-specific AI on-premise. Used internally to train the world's first fully pre-trained Cantonese LLM. 👉 lnkd.in/ezRdQUbY 👉 lnkd.in/eSFvytZ2 𝟯. 𝗛𝗮𝗽𝗽𝘆𝗛𝗼𝗿𝘀𝗲 𝗟𝗶𝘃𝗲 𝗗𝗲𝗺𝗼 — 𝗔𝗜 𝗩𝗶𝗱𝗲𝗼 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝗼𝗻 Interactive 𝗛𝗮𝗽𝗽𝘆𝗛𝗼𝗿𝘀𝗲 demo running on Alibaba Cloud Model Studio — every attendee generates their own. 𝗣𝗮𝗿𝘁𝗻𝗲𝗿𝘀 & 𝗘𝗰𝗼𝘀𝘆𝘀𝘁𝗲𝗺: Joined by @BDO_Canada, @Votee_AI, @Alibaba_Cloud, and @Alibaba_Qwen . 𝗧𝗵𝗲 𝗿𝗼𝗼𝗺: Canadian banks, insurance, government, VCs, academia, HK-Canada Business Association, Toronto media. 𝗛𝗼𝘀𝘁𝘀: Pak-Sun Ting (CEO & Co-Founder) · Jacky Chan (CTO & Co-Founder) 📅 Monday, May 25, 2026 ⏰ 6:00 PM – 9:00 PM EDT 📍 Downtown Toronto 🎫 Invitation-only · RSVP approval required 🔗 𝗥𝗦𝗩𝗣: luma.com/h8cywa6z Built by Toronto, for the world. Officially approved Toronto Tech Week 2026 event. @TOtechweek #TorontoTechWeek #TTW2026 #BuiltByToronto #BeeverAI #SovereignAI #BeeverAtlas #OpenSource #HappyHorse Video

🚀 We’re launching Qwen3.7-Max from @AlibabaGroup on Novita AI as a Day-0 launch partner. Built for the Agent Era — where models don’t just answer, but execute. • Strong coding + software engineering workflows Frontend prototyping, multi-file refactors, and real debugging. • Reliable agent orchestration + productivity workflows Smooth MCP integrations, tool use, and multi-agent systems. • Long-horizon autonomous execution Sustained reasoning, complex workflows, and large-scale tool usage. • Framework & stack agnostic Works across Claude Code, OpenClaw, Qwen Code, and custom agent stacks. Excited to bring Qwen3.7-Max to developers on Day 0. Go build something wild. ⚡ Video

The new Qwen3.7-Max from @Alibaba_Qwen is live on OpenRouter. The flagship of the Qwen3.7 series, built for agent-centric work: coding, office and productivity tasks, and long-horizon autonomous execution. Big jumps in coding and agent benchmarks over Qwen3.6, with explicit prompt caching for repeated context.

Alibaba’s new Qwen3.7 Max model scores 56.6 on the Artificial Analysis Intelligence Index, 4.8 points higher than Qwen3.6 Max Preview (51.8). While Alibaba still trails models from OpenAI, Anthropic and Google, Qwen3.7 Max is the closest they have been to the frontier Qwen3.7 Max is @Alibaba_Qwen's latest proprietary flagship, scoring 56.6 on the Intelligence Index, a 4.8 point gain over Qwen3.6 Max Preview (51.8) released in April. Qwen3.7 Max continues Alibaba's pattern, in place since Qwen2.5 Max (January 2025), of releasing Max and Plus models as closed weights while the rest of the Qwen line remains open weights. The leading open weights Qwen on the Intelligence Index is Qwen3.6 27B (Reasoning, 45.8) released in April 2026, and the leading open weights MoE Qwen is Qwen3.5 397B A17B (Reasoning, 45.0) released in February 2026 Key takeaways for the reasoning variant: ➤ The Intelligence Index gains over Qwen3.6 Max Preview are concentrated in scientific reasoning, agentic capability and coding. CritPt +9.7 p.p (3.7% to 13.4%), HLE +9.2 p.p (28.9% to 38.1%), TerminalBench Hard +6.9 p.p (43.9% to 50.8%) and GDPval-AA +42 Elo (1504 to 1546). Scores on other benchmarks in the Intelligence Index are flat compared to Qwen3.6 Max Preview ➤ A significant share of the Intelligence Index gain is driven by higher abstention on AA-Omniscience, not higher accuracy. Qwen3.7 Max's accuracy on AA-Omniscience dropped 7.6 p.p (37.7% to 30.1%), while its hallucination rate dropped 21.3 p.p (44.2% to 22.9%). The model is choosing not to answer more questions rather than recalling more facts. Because hallucination rate and accuracy both feed into the Intelligence Index, the hallucination reduction is one of the larger single contributors to the +4.8 point gain on the Intelligence Index ➤ Qwen3.7 Max used 96.7M output tokens to run the Intelligence Index, ~31% more than Qwen3.6 Max Preview (73.9M). It sits mid-pack on frontier token usage: above GPT-5.5 (high, 44.5M) and Gemini 3.1 Pro Preview (57.3M), below Claude Opus 4.7 (Adaptive Reasoning, Max Effort, 112M), Kimi K2.6 (166M) and DeepSeek V4 Pro (Reasoning, Max Effort, 187M) Key model details: ➤ Context window: 1M tokens (up from 256K on Qwen3.6 Max Preview) ➤ Multimodality: Text input and output only ➤ Pricing: Yet to be announced (Qwen3.6 Max Preview is priced at $1.30/$7.80 per 1M input/output tokens on the @alibaba_cloud first-party API) ➤ Licensing: Proprietary, closed weights