glm-5

The GLM team disclosed the first engineering practice of recursive self-improvement, completed by the Infra Agent powered by GLM-5.3, which designed, debugged, and optimized the GLM-5.3-Flash inference infrastructure.This practice was completed on a domestic cluster with a capacity of one hundred thousand cards, and the team referred to it as the first recursive self-improvement practice for large models in the country.

B.AI announced that the limited-time free trial of GLM-5.3-Flash is coming to an end. A special offer with a 90% discount will seamlessly take over starting from September 12 at 10:00 (SGT), where users only need to pay 10% of the original price, saving 90% directly, with input as low as $0.015/M and output as low as $0.05/M. As a native multimodal large model, GLM-5.3-Flash has a total of 320 billion parameters and 18 billion active parameters, combining sparse and linear attention mixed architecture with 1 million ultra-long context, performing strongly in scenarios such as programming development, agents, long context processing, and high-frequency API workloads. B.AI consistently practices the vision of universal computing power, adhering to low-threshold access, and is committed to allowing every developer to use top-tier computing power without burden at a highly competitive price, bidding farewell to high costs and accelerating innovation implementation.

On September 9, the official price adjustment for Zhipu GLM-5.3-Flash will take effect. The AI model invocation platform B.AI announced a limited-time extension of free benefits, available from now until September 12 at 09:59 (SGT), during which the model can still be fully invoked for free on the B.AI platform.GLM-5.3-Flash has a total parameter of 320B and an activation parameter of 18B, supporting 1M context. Models such as Qwen3.8 Flash, Hy3, and MiMo V2.5 remain freely accessible on the B.AI platform.

On September 8, B.AI, the intelligent global settlement layer connecting models, Agents, and value flow, announced that GLM-5.3-Flash will continue to provide free calling support for global developers after the official limited-time 50% discount ends at 24:00 on September 9. Developers will not need to change their usage habits due to upstream price adjustments.GLM-5.3-Flash is the leading model in terms of call volume on the current B.AI platform, with a total of 320 billion parameters and 18 billion active parameters, supporting 1 million ultra-long contexts, balancing rapid response and reasoning capabilities, and is used for code assistance, data processing, and text generation.

GLM-5.3-Flash has become the most frequently used and popular model on the B.AI platform, with a cumulative token throughput exceeding 2.41 trillion.As the first native multimodal model in the GLM-5 series, GLM-5.3-Flash features a total of 320 billion parameters and 18 billion active parameters, employing a hybrid architecture that combines sparse and linear attention, supporting 1 million ultra-long contexts, while ensuring rapid response, powerful reasoning, and high cost-effectiveness.Starting today, developers can still call this model for free through the B.AI platform, covering diverse scenarios such as high-frequency APIs, code writing, complex agents, and ultra-long document processing.

According to the Securities Times, on August 27, the reporter learned from SenseTime that SenseTime's large device provides domestic computing power support and Token services for the GLM-5.3-Flash recently launched and open-sourced by Zhipu, which is considered another benchmark for the large-scale commercial use of domestic computing power. It was revealed that the daily average Token service volume of SenseTime's large device reached 24.2 trillion in July, and it is expected to exceed a daily average of 100 trillion by the end of 2026.

On August 27, the one-stop AGI infrastructure platform B.AI announced that the Zhipu GLM-5.3-Flash (320B-A18B) officially launched on the platform and is fully open for free in the API official group. As the first native multimodal model in the GLM-5 series, GLM-5.3-Flash features a total of 320 billion parameters and 18 billion active parameters, supported by computing power from purely domestic AI chips. It introduces a mixed architecture of sparse and linear attention for the first time, combined with a 1M ultra-long context, offering both powerful performance and exceptional cost-effectiveness. Starting today, developers can call it at zero cost through the B.AI API official group, easily handling complex reasoning, long text processing, and multimodal tasks.

Zhipu released the lightweight flagship model GLM-5.3 Flash, aimed at competing with DeepSeek V4 Flash, and utilizes over 100,000 domestic chip clusters to provide inference services. The model has a parameter scale of approximately 300B, about 40% of GLM-5.3, and is roughly on par with DeepSeek V4 Flash; it adopts the MoE architecture, with actual activated parameters around 18B, possesses native multimodal capabilities, supports image and video input, and is the first new model with multimodal capabilities following Zhipu's focus on coding strategy.The comprehensive evaluation score exceeds that of the previous flagship GLM-5.2, is on par with Claude Opus 4.8, and is higher than the relevant scores of DeepSeek V4 Pro official version. The pricing is 0.8 yuan per million tokens for input, 2.8 yuan for output, and 0.23 yuan for cache hits, approximately one-tenth of GLM-5.3, with a half-price discount offered for the first two weeks after launch. The model is fully compatible with domestic computing power, online traffic is handled by domestic chips, and Zhipu claims that the cluster hardware efficiency and unit token cost have reached levels comparable to mainstream NVIDIA GPUs; this model was previously tested anonymously on overseas platforms under the code name Ox Alpha.

Zhipu officially announced the launch and open-sourcing of GLM-5.3-Flash, which is the first native multimodal model in the GLM-5 series.It is reported that the overall performance of GLM-5.3-Flash exceeds that of GLM-5.2, with programming and Agent evaluations approaching Claude Opus 4.8, but at only one-tenth the price of GLM-5.2. It also features a new foundational model, introducing a mixed architecture of sparse attention and linear attention for the first time in the main GLM series, and is pre-trained with 30T Token multimodal data.Zhipu stated that to gather extensive and professional feedback from a wide range of users, large-scale testing was conducted with the anonymous model Ox-Alpha (referred to as "Niu Lai" in the Chinese community) on OpenCode and OpenRouter before the official release. Ox-Alpha quickly became the most popular model of the week, setting a new high for call volume on both platforms, with all request traffic supported by domestic chip computing power.Previously, the community's DeepSWE small sample test for Ox Alpha once achieved 80%, but that was based on only 10 questions. After expanding the sample, the score fell back to about 63%, and testers also actively corrected the initial claim. This score still belongs to the top tier, but is not as exaggerated as the initial 80%. After the weights are open-sourced, developers can directly deploy using frameworks like vLLM, SGLang, KTransformers, without needing to go through the anonymous model's API.

Z.ai released GLM-5.3, which is based on the same foundational model as GLM-5.2, achieving capability improvements through expanded post-training. The official statement claims that GLM-5.3 has improved by 50% on the internal Z.ai Code Bench coding benchmark compared to GLM-5.2, and has reached leading levels among open models in public benchmarks such as Terminal Bench 3 and Agents' Last Exam.In terms of cybersecurity, GLM-5.3 achieved a score of 84.5% in the CyberGym vulnerability discovery test, and showed significant improvements in exploitation chain-related tests such as ExploitBench and ExploitGym compared to its predecessor.

The B.AI platform is now offering a limited-time 40% discount on the GLM-5.2 model for all users.During the event, whether deploying through the API or interacting on the web, all calls can enjoy a 40% settlement price. The discounted prices are: Input 0.84, Cache Write 0.84, Cache Read 0.168, Output 2.64 (Unit: Credits/Token).As a next-generation open-source flagship model, GLM-5.2 features a 1M ultra-long context window, designed for high-performance scenarios such as large-scale code development, complex reasoning, and agent tasks. Users can directly use it through the official API standard channel or the web interface, achieving seamless integration across all workflow scenarios. This event aims to unleash top-tier AI productivity at a lower cost, and users can log in to the B.AI platform to experience it starting today.

According to a report by ZeroHedge, JPMorgan predicts in a research report that Zhipu will release the next-generation flagship model GLM-5.5 in August, with the parameter count possibly exceeding one trillion (>1T).Zhipu just open-sourced the GLM-5.2 model with a total parameter count of 744B in mid-June, which has performed impressively in several long-range programming benchmarks. The upcoming trillion-parameter model release will become the next key indicator to assess whether Zhipu can continue to maintain an upward trajectory in its technology curve.

The GLM-5.2 flagship model Web Chat has officially landed on the B.AI platform. Following the API's initial opening on June 18, both ends of the service are now fully available.As a representative work of the new generation of open-source weights, this model features an industry-leading 1M ultra-long context window, specifically designed for high-performance scenarios such as large-scale code development, complex reasoning, and agent tasks, balancing cutting-edge performance with stable execution capabilities. Users can now flexibly access it through the official API standard channel and various service provider discount models, or they can directly use the web-based chat for seamless integration across all workflow scenarios.B.AI, as a leading one-stop AI model service platform, is committed to providing developers and enterprises with an efficient, secure, and user-friendly model deployment and invocation experience. The comprehensive integration of GLM-5.2 will further enrich the platform ecosystem and empower various intelligent applications to be implemented.

Hong Kong Stock Zhipu (02513.HK) surged significantly during today's trading, at one point rising over 45%, reaching a high of 1620.00 HKD, and currently the increase has narrowed to around 28%, reported at 1404.00 HKD. In response to the unusual stock price movement, Zhipu issued a statement saying that the company is not aware of any undisclosed insider information.On the news front, against the backdrop of the strongest models from overseas competitors being globally banned due to government regulations, Zhipu announced the launch of its latest flagship model GLM-5.2. This model supports long contexts of up to 1M and will be fully open-sourced next week under the MIT license. Zhipu stated that this move aims to attract global developers with an open strategy, and it is expected that the release of this model will effectively benefit the company's subsequent open platform and API business call volume increase.

Vergex and Z.ai jointly launched GLM-5 Trading Odyssey, open to developers and traders. Participants can build trading agents based on the GLM model, operating in real markets with real returns as the core evaluation standard.This event differs from traditional AI trading tools, as participants will directly enter real execution scenarios. Vergex, as the AI Trading Harness, provides strategy conversion, constraint validation, and risk control, addressing the challenges of AI trading black boxes and uncontrollable execution. Its open-source project NoFx has received over 11,000 stars on GitHub, providing the technical foundation for this event.It is reported that Z.ai was established in 2019 and is a leading foundational model company. GLM-5 ranks first in the Artificial Analysis Intelligence Index open-source model list, and the upcoming GLM-5.1 is expected to improve performance by about 50% compared to its predecessor. Both parties are promoting AI Trading from model capabilities to production-level systems.