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← Drops Β· 2026-09-08

drop-2026-09-08-kr-am

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DeepSeek-V4-Pro GA rolled out on app/web/API and the API model name stayed unchanged🟒 robustconfirmed2026-08-13https://api-docs.deepseek.com/news/news260813/
DeepSeek API docs map deepseek-v4-pro to DeepSeek-V4-Pro-0813, and deepseek-v4-flash to DeepSeek-V4-Flash-0731🟒 robustconfirmed2026-08-25https://api-docs.deepseek.com/
DeepSeek-V4-Pro supports the Responses API and tool calls, with a 1M-token context and 384K max output🟑 sensitivepartial1M; 384Khttps://technode.com/2026/08/13/deepseek-v4-pro-api-update-adds-responses-api-support/
DeepSeek V4-Pro architecture is described as Liquid MoE with spatial vision reasoning and NVIDIA H200 optimizations🟑 sensitivepartialβ€”https://deepseek.ai/blog
DeepSeek V4-Pro uses three thinking effort levels: low, high, max🟒 robustconfirmedlow / high / maxhttps://api-docs.deepseek.com/updates/
DeepSeek Harness is a TypeScript agent runtime with plugin architecture and breaking changes in the README🟒 robustconfirmedbreaking changeshttps://github.com/deepseek-ai/deepseek-harness
Qwen3.8-Max is the latest flagship in the Qwen line and supports hybrid thinking by default🟒 robustconfirmedhybrid thinkinghttps://docs.qwencloud.com/changelog/models
Qwen3.8-Max is described in QwenCloud docs as a sparse MoE model with 2.4T total parameters, about 95B activated per step, and a 1M-token context window🟒 robustconfirmed2.4T; ~95B; 1Mhttps://docs.qwencloud.com/changelog/models
Alibaba press coverage says Qwen3.8-Max API is available and weights were scheduled for release the following week🟒 robustconfirmednext weekhttps://www.alibabacloud.com/en/press-room/alibaba-unveils-qwen3-8-max?_p_lc=1
Qwen3.8-Max open-source release Qwen/Qwen3.8-2.4T-A95B is documented as the open-source version of the flagship series🟒 robustconfirmed2 reposhttps://docs.qwencloud.com/changelog/models
An independent arXiv benchmark paper reports DeepSeek V4 Pro 0813 at 62.0 on FlavourBench and Qwen 3.8 Max at 61.5🟒 robustconfirmed62.0; 61.5https://arxiv.org/html/2608.20574v1
DeepSeek V4-Pro’s benchmark uplift on DeepSWE is reported by vendor docs from 12.8 to 62.7 after GA🟑 sensitivepartial12.8 β†’ 62.7https://api-docs.deepseek.com/updates/