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Open-source Pangu model openPangu-2.1-Pro launches on Huawei Cloud with upgrades in Agent development, AI coding, and inference optimization

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Huawei Cloud announced that its MaaS (Model-as-a-Service) platform has officially launched the open-source Pangu model openPangu-2.1-Pro, with capability upgrades across three areas: Agent development, AI coding, and inference optimization, bringing enhancements in scenarios such as deep research, HarmonyOS system operation, HarmonyOS app development, Ascend operator generation, and inference pipeline optimization. The model is optimized for HarmonyOS ArkTS language development tasks and Ascend operator development workflows, and achieves significantly higher throughput efficiency in typical deployment scenarios through key operator and inference pipeline optimization. It will also be integrated into core products including Huawei Cloud AgentArts, CodeArts, and OfficeAce, covering agent development, AI coding, and enterprise office work. Pricing: inference input 0.8 yuan per million tokens, inference output 3.2 yuan per million tokens, cache-hit input 0.016 yuan per million tokens.

Translation(model translation, not the source's own text)

Open-source Pangu Model openPangu-2.1-Pro Launches on Huawei Cloud, with Capability Upgrades Around Agent Development, AI Coding, and Inference Optimization

IT Home, November 15 news: Huawei Cloud announced today that the Huawei Cloud MaaS (Model-as-a-Service) platform has officially launched the open-source Pangu model openPangu-2.1-Pro.

The model upgrades its capabilities around three major directions—Agent development, AI coding, and inference optimization—and achieves enhancements in scenarios such as deep research, HarmonyOS system operation, HarmonyOS App development, Ascend operator generation, and inference pipeline optimization.

  • In terms of Agent capabilities, openPangu-2.1-Pro optimizes Skills triggering, tool selection, and invocation capabilities based on more than 100,000 specialized data entries, improving complex task planning and execution results, and achieving capability enhancements in scenarios such as deep research and HarmonyOS system operation.
  • In terms of coding capabilities, the new model focuses on optimization and adaptation for HarmonyOS App development and Ascend operator generation. Around the HarmonyOS ArkTS language and related development tasks, it continuously improves the accuracy of code generation and application usability; it carries out targeted optimization for the Ascend operator development process, enhances professional code generation capabilities, and provides support for developers to lower the development threshold and improve R&D efficiency.
  • Through optimization of key operators and the inference pipeline, openPangu-2.1-Pro achieves a substantial increase in throughput efficiency in typical deployment scenarios, supporting high-concurrency applications with higher resource utilization efficiency. At the same time, through the preset model API, invocation rate limiting, usage statistics, and performance monitoring capabilities provided by Huawei Cloud MaaS, users can achieve rapid access and operations.

openPangu-2.1-Pro will also be integrated into core products such as Huawei Cloud Zhiguo AgentArts, MaDao CodeArts, and Guoban OfficeAce, covering agent development, AI coding, and enterprise office work, accelerating the extension of model capabilities into actual business scenarios.

  • Inference input: 0.8 yuan / million tokens
  • Inference output: 3.2 yuan / million tokens
  • Cache hit input: 0.016 yuan / million tokens

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The translation is machine-generated and individual terms may be off. Nothing is rewritten or cut; the original is authoritative.

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