刚刚，阿里Qwen3.8-Max来了！冲进全球第一梯队，模型表现直逼Claude
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Merged summary
TL;DR - Alibaba released Qwen3.8-Max, a 2.4-trillion-parameter flagship foundation model positioned in the global top tier on Arena leaderboards while undercutting Claude Opus 5 pricing by roughly 60–76%. It matters because it signals a Chinese frontier model competing on coding/agentic capability and cost simultaneously.
- Claimed 2.4T total parameters, targeting coding, professional work, long-horizon tasks, and multimodal agents; the article cites Text Arena and front-end coding leaderboard placements ahead of Claude Opus 5 and "Fable 5," and reported wins over GPT-5.6/Opus 4.8 on research reproduction, multimodal understanding, long video, and computer use.
- Pricing in China: ¥12 per million input tokens, ¥36 output, ¥1.5 for implicit cache hits — stated as 40% (input) and 24% (output) of Opus 5's international price.
- Agentic claims include autonomous end-to-end delivery (an official case of 10+ days unattended from an empty folder), coherence across thousands of interaction turns, and hundreds of legal documents processed per hour.
- Hands-on tests in the piece: a full AI-news web app built from a one-page PRD in ~5 minutes with self-generated issue logs and acceptance checks; cross-section analysis of a dozens-of-pages ImageNet paper (tables + appendix figures) in ~33s; a topic timeline with timestamps for a ~70-minute podcast in 2–3 minutes.
- Positioning context: Alibaba cites 400+ open-sourced models, 200k+ derivatives, 1B+ downloads; API is live on the Qianwen AI platform alongside a new "Qwen Work" agent product. Note these are vendor/媒体 claims from a promotional review, not independently verified benchmarks.
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刚刚，阿里Qwen3.8-Max来了！冲进全球第一梯队，模型表现直逼Claude
Public signals
N/A
TL;DR - Alibaba released Qwen3.8-Max, a 2.4-trillion-parameter flagship foundation model positioned in the global top tier on Arena leaderboards while undercutting Claude Opus 5 pricing by roughly 60–76%. It matters because it signals a Chinese frontier model competing on coding/agentic capability and cost simultaneously.
- Claimed 2.4T total parameters, targeting coding, professional work, long-horizon tasks, and multimodal agents; the article cites Text Arena and front-end coding leaderboard placements ahead of Claude Opus 5 and "Fable 5," and reported wins over GPT-5.6/Opus 4.8 on research reproduction, multimodal understanding, long video, and computer use.
- Pricing in China: ¥12 per million input tokens, ¥36 output, ¥1.5 for implicit cache hits — stated as 40% (input) and 24% (output) of Opus 5's international price.
- Agentic claims include autonomous end-to-end delivery (an official case of 10+ days unattended from an empty folder), coherence across thousands of interaction turns, and hundreds of legal documents processed per hour.
- Hands-on tests in the piece: a full AI-news web app built from a one-page PRD in ~5 minutes with self-generated issue logs and acceptance checks; cross-section analysis of a dozens-of-pages ImageNet paper (tables + appendix figures) in ~33s; a topic timeline with timestamps for a ~70-minute podcast in 2–3 minutes.
- Positioning context: Alibaba cites 400+ open-sourced models, 200k+ derivatives, 1B+ downloads; API is live on the Qianwen AI platform alongside a new "Qwen Work" agent product. Note these are vendor/媒体 claims from a promotional review, not independently verified benchmarks.