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Baidu upgrades search AI API, minimum 4.9 yuan per thousand calls

Baidu held a product upgrade briefing on October 30, announcing a fully upgraded search AI API, with a minimum price of 4.9 yuan per thousand calls during the promotional period, lower than the price of the DeepSeek search API. According to The Beijing News, Baidu said the capability now covers more than 170 tool scenarios, with GUI scenario coverage on the search page increased fivefold, connected to over 5 billion resource data points from government affairs, livelihood services, the central bank and others, covering more than 20 industries and opening up the ecosystem. TMTPost reported that the API's content layer covers more than 80 languages and a high-quality index in the hundreds of billions, with the data credibility rate increased by more than 50%, and the Ernie assistant saw a 20% improvement in results after integration. Baidu said its cost-effectiveness comes from an AI-native four-layer architecture; the engine layer self-evolves through multi-agent collaboration, raising overall iteration efficiency by more than 80%, while the application layer supports full-solution access via API, MCP and Skill. There are currently no further developments.

Baidu upgrades search AI API

Baidu held a product upgrade briefing on October 30, announcing a fully upgraded search AI API, with a minimum price of 4.9 yuan per thousand calls during the promotional period, lower than the price of the DeepSeek search API. According to The Beijing News, Baidu said the capability now covers more than 170 tool scenarios, with GUI scenario coverage on the search page increased fivefold, connected to over 5 billion resource data points from government affairs, livelihood services, the central bank and others, covering more than 20 industries and opening up the ecosystem. TMTPost reported that the API's content layer covers more than 80 languages and a high-quality index in the hundreds of billions, with the data credibility rate increased by more than 50%, and the Ernie assistant saw a 20% improvement in results after integration. Baidu said its cost-effectiveness comes from an AI-native four-layer architecture; the engine layer self-evolves through multi-agent collaboration, raising overall iteration efficiency by more than 80%, while the application layer supports full-solution access via API, MCP and Skill. There are currently no further developments.

View story:Baidu upgrades search AI API, minimum 4.9 yuan per thousand calls

WorkBuddy introduces cross-platform job search and resume customization features

On October 28, 2026, WorkBuddy stated that users do not need to browse job sites one by one: it can search for positions across multiple platforms, match jobs with personal experience, and help customize resumes for positions worth applying to. Currently, this feature is described by WorkBuddy externally, and there are no subsequent development facts yet.

Google podcast discusses how AI Overviews and AI Mode are changing search habits

On October 28, 2026, Google Ads podcast Ads Decoded released an episode hosted by Google Ads product liaison Ginny Marvin, in conversation with Shivani Mohan, Vice President of Google Search Data Science and UXR, discussing how AI Overviews and AI Mode are changing the search habits of billions of users. The episode focuses on Shivani Mohan's team's research into the modern search experience and what the long-form query trend means for businesses. The episode has currently been published on Google's official blog, with no further developments at this time.

WorkBuddy introduces cross-platform job search and resume customization features

On October 28, 2026, WorkBuddy stated that users do not need to browse job sites one by one: it can search for positions across multiple platforms, match jobs with personal experience, and help customize resumes for positions worth applying to. Currently, this feature is described by WorkBuddy externally, and there are no subsequent development facts yet.

View story:WorkBuddy introduces cross-platform job search and resume customization features

Google podcast discusses how AI Overviews and AI Mode are changing search habits

On October 28, 2026, Google Ads podcast Ads Decoded released an episode hosted by Google Ads product liaison Ginny Marvin, in conversation with Shivani Mohan, Vice President of Google Search Data Science and UXR, discussing how AI Overviews and AI Mode are changing the search habits of billions of users. The episode focuses on Shivani Mohan's team's research into the modern search experience and what the long-form query trend means for businesses. The episode has currently been published on Google's official blog, with no further developments at this time.

View story:Google podcast discusses how AI Overviews and AI Mode are changing search habits

TinyFish Releases Technical Guide for Production-Grade Agentic Search Architecture

On October 23, 2026, TinyFish released two technical guides: one defines a production-grade agentic search architecture, and the other summarizes lessons learned from building a deep research system. According to a MarkTechPost report, the architecture is built on four web primitives—TinySearch, TinyFetch, TinyBrowser, and TinyAgent—and runs a seven-stage control loop around a foundation model, covering task definition, retrieval planning, tool routing, evidence evaluation, and failure retry. In OpenBenchmarks tests with a fixed gpt-5.6-sol model and 100 tasks, the search-plus-fetch configuration achieved a 79.0% completion rate, with a median task cost of $0.050 and a runtime of 24 seconds; the search-only configuration achieved a 59.3% completion rate. Currently, this event has only the single source report mentioned above, and there have been no subsequent developments.

Gemini launches ability to reference Google Maps searches and saved places

Gemini has launched the ability to reference Google Maps search history and saved places. According to related reports, after user authorization, Gemini can now read Google Maps search history and saved places, and combine them with Google Calendar to provide users with personalized recommendations for the day. This capability has currently been announced as launched by Gemini, and there are no further developments as of yet.

Gemini can reference Google Maps search and saved places

Gemini has launched the ability to reference Google Maps search history and saved places. According to related reports, after user authorization, Gemini can now read Google Maps search history and saved places, and combine them with Google Calendar to provide users with personalized recommendations for the day. This capability has currently been announced as launched by Gemini, and there are no further developments as of yet.

View story:Gemini launches ability to reference Google Maps searches and saved places

MiniMax says M3.1 Flash tops search capability efficiency leaderboard

On October 19, 2026, MiniMax released the M3.1 Flash model. The company says it costs one-third as much as M3 and is 3 times faster, with a unified API price of $0.15/$0.60 per 1M input/output tokens and cached reads at $0.015 per 1M tokens; it had previously been tested anonymously on OpenRouter under the name Space Bunny, ranking first on the model leaderboard for 10 consecutive days. On October 20, the model launched on platforms including Ollama, GMI Cloud, Cline, and OpenClaw, with Cline offering it for free; third-party testing compared it with Claude Opus 5.5, and both completed a Three.js task on the first attempt. On October 21, Parallel Web Systems' search capability efficiency leaderboard ranked it first. On October 22, MiniMax announced that Inferact had become its API launch partner, and the model launched on Runware. On October 23, MiniMax said SGLang and Miles provided support on the first day of release.

View story:MiniMax releases the M3.1 Flash model

TinyFish releases technical guide for production-grade agent search architecture

On October 23, 2026, TinyFish released two technical guides: one defines a production-grade agentic search architecture, and the other summarizes lessons learned from building a deep research system. According to a MarkTechPost report, the architecture is built on four web primitives—TinySearch, TinyFetch, TinyBrowser, and TinyAgent—and runs a seven-stage control loop around a foundation model, covering task definition, retrieval planning, tool routing, evidence evaluation, and failure retry. In OpenBenchmarks tests with a fixed gpt-5.6-sol model and 100 tasks, the search-plus-fetch configuration achieved a 79.0% completion rate, with a median task cost of $0.050 and a runtime of 24 seconds; the search-only configuration achieved a 59.3% completion rate. Currently, this event has only the single source report mentioned above, and there have been no subsequent developments.

View story:TinyFish Releases Technical Guide for Production-Grade Agentic Search Architecture

Artificial Analysis Adds DeepSeek Search to Its Search Index Evaluation

Artificial Analysis has added DeepSeek Search to its search index evaluation. The evaluation results from October 22, 2026 show that DeepSeek Search scored 69 on the index, ranking 17th among 27 search products, and is the lowest-priced paid search API on the list: charging $0.75 per 1k searches, with a cost of about $0.032 per task, making it the 5th cheapest among the 27 products. In terms of accuracy, it scores 70% on AA-Omniscience, ranking 10th, but only 63% on BrowseComp, which requires multi-hop reasoning, ranking 25th. In addition, each search returns about 7k tokens, raising the model cost to the 2nd highest on the list. There are currently no further developments.

Artificial Analysis includes DeepSeek Search in its search index evaluation

Artificial Analysis has added DeepSeek Search to its search index evaluation. The evaluation results from October 22, 2026 show that DeepSeek Search scored 69 on the index, ranking 17th among 27 search products, and is the lowest-priced paid search API on the list: charging $0.75 per 1k searches, with a cost of about $0.032 per task, making it the 5th cheapest among the 27 products. In terms of accuracy, it scores 70% on AA-Omniscience, ranking 10th, but only 63% on BrowseComp, which requires multi-hop reasoning, ranking 25th. In addition, each search returns about 7k tokens, raising the model cost to the 2nd highest on the list. There are currently no further developments.

View story:Artificial Analysis Adds DeepSeek Search to Its Search Index Evaluation

Tencent announces a brand-new upgrade of Yuanbao Search and opens it to developers

Tencent announces a brand-new upgrade of Yuanbao Search and opens it to developers. According to an October 21 report, Tencent is opening Yuanbao Search capabilities to external parties, offering three access methods: Skill, MCP, and API, with a limited-time free quota of 2,000 calls per month, and up to 6,000 calls per month via invitation codes in October and November. Yuanbao Search has built a hundred-billion-scale index, covering 13 vertical industries including finance, government affairs, and healthcare, and connecting 157 authoritative sources, with average daily calls reaching hundreds of millions, supporting more than 50 core businesses such as WorkBuddy and ima. A Zhidongxi hands-on test shows that a single API call takes an average of about 0.42 seconds. Another report the same day said Tencent Cloud announced on October 20 that Yuanbao Search is officially open to external parties, with services divided into Express, Standard, and Flagship editions, priced from 14 yuan per thousand calls, and the interface returns sorting information and data fields in JSON format.