HomeMicrosoft Abandons Pricey Claude, Builds Own AI Model to Liberate GitHub Developers
As AI programming becomes a core tool for developers worldwide, the costs of running large language models and competitive dynamics in the market are shifting subtly. Insiders say that due to the high expense of purchasing and operating third-party models, Microsoft plans to change the current landscape and launch its own in-house AI programming model at the upcoming Build developer conference.
Signs of this strategic shift appeared earlier. Microsoft CEO Satya Nadella previously instructed internal teams to stop using Anthropic's Claude model entirely by June and move to the company's own GitHub Copilot. The official explanation at the time cited rising costs of calling Claude as no longer cost‑effective, but recent developments suggest the move was clearly intended to pave the way for Microsoft's own programming model.
As the centerpiece of this year's Build conference, the self‑developed programming model will directly power an upgraded GitHub Copilot, competing head‑to‑head with strong rivals like Cursor and Claude Code in the developer community. Beyond targeting the high‑value coding niche, Microsoft also plans to release models of varying parameter sizes across verticals such as transcription, reasoning, speech, and image, further strengthening its full‑stack AI capabilities.
Reflecting on Microsoft's AI strategy, the risk of over‑reliance on a single supplier once constrained the company heavily. As OpenAI's largest investor, Microsoft had signed an exclusive agreement that prevented it from developing human‑level AI before April 2026. Only in April this year, after restructuring the cooperation terms, did Microsoft regain full research freedom. During that period, to support AI operations in core businesses like GitHub, Azure, and Office 365, Microsoft was forced to purchase large volumes of Claude‑series models. However, the high computational costs proved too heavy even for a trillion‑dollar tech giant to bear.
For developers globally, Microsoft's release of an in‑house programming model is a major positive. Currently, when GitHub Copilot invokes third‑party models like Claude and GPT, it typically incurs billing premiums of three to five times, sometimes up to ten times. Once Microsoft launches a competitive self‑built alternative, it would not only slash its own operational costs but also directly reduce cost barriers for users.
Right now, the competition in AI programming has entered an intense phase. Beyond Microsoft's comprehensive push, Elon Musk's xAI is also ramping up investments—a new model with at least 1.5 trillion parameters is expected to be integrated into Grok soon. As tech giants continue to show their hands, the global AI programming market is poised for a fierce reshuffle driven by both technology and cost.
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As AI programming becomes a core tool for developers worldwide, the costs of running large language models and competitive dynamics in the market are shifting subtly. Insiders say that due to the high expense of purchasing and operating third-party models, Microsoft plans to change the current landscape and launch its own in-house AI programming model at the upcoming Build developer conference.
Signs of this strategic shift appeared earlier. Microsoft CEO Satya Nadella previously instructed internal teams to stop using Anthropic's Claude model entirely by June and move to the company's own GitHub Copilot. The official explanation at the time cited rising costs of calling Claude as no longer cost‑effective, but recent developments suggest the move was clearly intended to pave the way for Microsoft's own programming model.
As the centerpiece of this year's Build conference, the self‑developed programming model will directly power an upgraded GitHub Copilot, competing head‑to‑head with strong rivals like Cursor and Claude Code in the developer community. Beyond targeting the high‑value coding niche, Microsoft also plans to release models of varying parameter sizes across verticals such as transcription, reasoning, speech, and image, further strengthening its full‑stack AI capabilities.
Reflecting on Microsoft's AI strategy, the risk of over‑reliance on a single supplier once constrained the company heavily. As OpenAI's largest investor, Microsoft had signed an exclusive agreement that prevented it from developing human‑level AI before April 2026. Only in April this year, after restructuring the cooperation terms, did Microsoft regain full research freedom. During that period, to support AI operations in core businesses like GitHub, Azure, and Office 365, Microsoft was forced to purchase large volumes of Claude‑series models. However, the high computational costs proved too heavy even for a trillion‑dollar tech giant to bear.
For developers globally, Microsoft's release of an in‑house programming model is a major positive. Currently, when GitHub Copilot invokes third‑party models like Claude and GPT, it typically incurs billing premiums of three to five times, sometimes up to ten times. Once Microsoft launches a competitive self‑built alternative, it would not only slash its own operational costs but also directly reduce cost barriers for users.
Right now, the competition in AI programming has entered an intense phase. Beyond Microsoft's comprehensive push, Elon Musk's xAI is also ramping up investments—a new model with at least 1.5 trillion parameters is expected to be integrated into Grok soon. As tech giants continue to show their hands, the global AI programming market is poised for a fierce reshuffle driven by both technology and cost.
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