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OpenClaw Adopts DeepSeek V4 Flash as Default Model
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SCMP Tech26.04.2026تقنية1 dk okumaChina

OpenClaw Adopts DeepSeek V4 Flash as Default Model

Chinese AI firm's V4 models optimized for Huawei Ascend chips draw global attention

نظرة سريعة

  • OpenClaw has adopted DeepSeek's V4 Flash as the default model for its AI agent, expanding its catalogue to include V4 Flash and V4 Pro models.
  • The update also integrated Google Meet and optimized multi-step task consistency.
  • DeepSeek's V4 models support mainstream agent tools including Anthropic's Claude Code, OpenClaw, and Tencent's CodeBuddy.

ملخص مُنشأ بالذكاء الاصطناعي

لماذا يهم

OpenClaw is a popular AI agent platform. DeepSeek is a Chinese AI company whose recent releases have drawn significant global attention due to their collaboration with Huawei's home-grown AI hardware. Huawei announced full support from its Ascend chips and supernode systems for DeepSeek V4 model inference.

حجم الخط

OpenClaw has adopted DeepSeek's new V4 Flash as the default model for its popular artificial intelligence agent, while the global tech community scrutinises the implications of the Chinese AI firm's major update optimised to run on Huawei Technologies' chips.

In an update on Sunday, OpenClaw said it had expanded its catalogue to include DeepSeek's V4 Flash and its flagship V4 Pro models, and had integrated other capabilities such as Google Meet into the agent. OpenClaw also optimised how DeepSeek V4 models could remain consistent when performing multi-step tasks.

DeepSeek said on Friday that its V4 models were optimised for mainstream agent tools including Anthropic's Claude Code, OpenClaw and Tencent Holdings' CodeBuddy. The DeepSeek V4 release drew global attention as its collaboration with Huawei, which announced "full support" from its Ascend chips and supernode systems for model inference, put China's home-grown AI hardware to the test.

أسئلة مفتوحة

  • What specific performance improvements does V4 Flash offer over previous models?
  • How does the Huawei Ascend chip optimization compare to mainstream GPU performance?

مواضيع ذات صلة

This article was originally published by SCMP Tech.

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