DeepSeek now owns the whole agent loop, and it priced the search leg at 75 cents per thousand calls
DeepSeek ships a model, a harness and a search engine
A model tuned for its own harness. DeepSeek's V4.1-Flash-1017, released on Saturday, claims better coding and agent scores with shorter runtimes and fewer output tokens. It was tuned for DeepSeek Harness, the company's coding agent, and for Tencent's CodeBuddy and WorkBuddy. The weights are open under an MIT licence.
Search at a fraction of the going rate. The same day DeepSeek opened Search and Fetch APIs at $0.75 per 1,000 successful requests each, or 5 yuan (~$0.70) on the Chinese list. Failed calls are free. Calls made through Harness, Claude Code or Codex cost nothing until 1 November. One search plus three page fetches costs about $0.003 on DeepSeek against $0.0128 on Tavily, by one analyst's arithmetic.
Two leads. QbitAI, a Beijing AI outlet, headlines the price-performance and welcomes back the "price-performance king". Western trade press leads on the catch. DeepSeek's privacy policy stores personal data in China, and each account is capped at five requests a second. The docs page drew 260 points on Hacker News, where one commenter said Exa and Parallel will struggle to justify their valuations.
Vertical integration, with a free sample. Yesterday I said DeepSeek's new product department was how it would stop customers absorbing its outages, at least 18 big ones this year. A model that finishes in fewer steps is cheaper to serve. Its own search engine removes an outside vendor.
THE TELL: the free window lets DeepSeek's search ride inside Anthropic's and OpenAI's coding agents before anyone has priced the dependency. That is my inference, not DeepSeek's stated plan.
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Tmall puts AI tokens on the shelf
Tokens joined Singles Day. When Tmall opened its 18th Singles Day on 15 October, Zhipu (the lab whose models trade abroad as Z.ai) and MiniMax, another Chinese model lab, had opened flagship stores selling token packages. Tmall also dropped cross-store spend thresholds for merchant discounts plus vouchers. It is selling simplicity, not depth of discount.
Alibaba needs this to count. TMTPost's comparison with JD is blunt. Alibaba's free cash flow swung from a 73.8bn yuan (~$10.4bn) inflow to a 46.6bn yuan (~$6.6bn) outflow in fiscal 2026, blamed on instant retail and cloud spending. JD's second-quarter revenue fell 2.9%, its first quarterly drop since its 2014 listing. Operating profit still turned to 4.5bn yuan (~$630m) from a loss.
My read: a token aisle is a rounding error in revenue and a large argument on an earnings call. Alibaba chief executive Wu Yongming has said compute spending can pay back within three years. A checkout is the first place to show it.
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Zhipu's legal model wins a league where most tasks fail
Top of the open-weight board. GLM-Legal, Zhipu's open-weight model built on GLM-5.3-Flash, leads open-weight models on Harvey's legal-agent benchmark and on LegalBench. Vals AI's results, as QbitAI relays them, show a 19.2% all-criteria pass rate and 86.23% accuracy. All-criteria means one missed rubric item fails the task, so four in five tasks still fail.
The price gap is the story. At similar scores, QbitAI says Google's Gemini 4 Argon costs about 70 times more per test, though it runs nearly 30 minutes faster. For back-office legal work, slow and cheap probably wins.
An American product on a Chinese base. In August, Harvey, the US legal-AI startup, post-trained its first model, Tenet, from Kimi K3, the open-weight model from Beijing's Moonshot AI. Fireworks reports all-pass rising from 10.8% to 19.7% on Harvey's own benchmark. That is a different evaluator, so not like-for-like, but the same ceiling. A specialist needs an open base and a rubric, not a frontier lab.
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A court prices one poached engineer at $54 million
Thirty times the first verdict. China's Supreme People's Court ordered Shenzhen Genesis Machinery, a subsidiary of the listed machine-tool maker Genesis, to pay 382m yuan (~$54m) in December. The plaintiff, Beijing Jingdiao, is a rival. Its product manager quit in March 2017, joined Genesis four days later under an assumed name, and had downloaded more than 37,000 design files. A 2023 first-instance ruling awarded 12.8m yuan (~$1.8m).
Enforcement now chases the cash. Genesis did not pay. A Beijing court has deducted or frozen about 105m yuan (~$15m), frozen equity in subsidiaries and sealed a Shenzhen land plot. Genesis disclosed the deductions almost two months late, and regulators warned its chairman and board secretary in July. It sought a retrial. The Supreme Court accepted the application, which lawyers note is not the same as granting one.
My read: the signal is for domestic firms that grow by hiring a rival's engineers. A verdict this size between two Chinese companies also shows what courts do when no foreign complainant is watching.
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Chinese economists contest the subsidy yardstick
One report, two leads. When the OECD published its MAGIC subsidy database in June, AFP led on China's unfair edge: three to eight times more state support than OECD-based firms. The OECD says almost 60% of Chinese firms' global market-share gains can be explained by subsidies.
The fight is over one benchmark. Li Yuankun, an assistant research fellow at the Chinese Academy of Social Sciences' world economics institute, argues that benchmarking China's cheap loans against its Loan Prime Rate can inflate measured support several times over. CF40, a Chinese economics think tank, notes that below-market borrowing is two-thirds of the estimated subsidy, drawn from just 147 Chinese firms.
Why now. Li's piece first ran on 1 July and was republished on 17 October. Brussels is working on a trade "kill switch", and a subsidy database can become evidence in a case. My inference: Beijing's economists are contesting the instrument before it is used.
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Industrial founders skip the fund
Billionaires write their own cheques. An investment-media essay republished by 36Kr says founders' family offices now invest directly in early-stage robotics, chips and materials. Examples include vehicles tied to Inovance (industrial automation), Luxshare and Lens Technology (Apple suppliers), and sportswear brand Xtep. The author's explanation is that venture money increasingly comes from state funds with local-investment obligations, and founders want only the investment logic.
THE NUMBER: in the first half, 20 new private fund managers registered while 364 cancelled. My read: a quieter private channel for hard-tech capital is forming, with no fund life and no limited partners to answer to.
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Squeezing toothpaste 240 times for a robot
A temp job in embodied AI. Ginger River Review summarises a Tencent News reporter's account of a crowdsourcing gig collecting robot training data. It involved electrodes on five fingers, a sensor box on the hand, 15 scripted movement sets and toothpaste squeezed 240 times a day. Nobody squeezes toothpaste to a script. The worker learns to move like a machine so the machine can learn to move like a person.
The trap is familiar. The work is real and young people get it. They are also training machines that may replace them, and robot makers disagree about what the right movement looks like. Cai Jia, Huawei's former car-unit world-model lead, runs a Hangzhou startup that just raised nearly 100m yuan (~$14m). He argues crowd data lacks the cause and effect that factory floors supply. It is the Friday trap again: paid to teach the system that makes the job redundant.
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Threads we are pulling
- The export draft got a day-one test. On 16 October I said Beijing's draft export curbs aim at the next checkpoint, not this one. Within a day DeepSeek had open weights for V4.1-Flash-1017 and Zhipu had opened GLM-Legal. Neither looks chilled. Either Flash-class and vertical models sit below the thresholds, or labs are betting the draft stays a draft. I cannot tell which, and the thresholds are still unpublished.
- A broker calls the bottom. After the AI-stock slide I tracked yesterday, CITIC Securities says the correction now matches the new-energy stocks' fall from late 2021 to April 2022 in size and duration. It names memory prices, GPU rental prices and cloud-provider margins as the variables to watch. One broker's call is sentiment. Memory prices are also what is squeezing handset makers.
- ByteDance's apps became shop doors. On 16 October I wrote that Tomato Novel's new gate turns authors into raw material for short drama. For Singles Day, TMTPost reports, Douyin has extended coupons into Doubao, Hongguo and Tomato Novel itself. Reading, watching and chatting now end at a checkout.
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