Alibaba Qoder Hits 47.6% Revenue Share as AI Coding Race Intensifies

Competition among major tech companies in AI coding is intensifying. Tan Dai, president of ByteDance's Volcano Engine, said the company has always regarded coding as a core direction. Liu Weiguang, president of Alibaba Cloud's public cloud business, said in May 2026 that coding is Alibaba Cloud's most important direction. Industry data shows that Qoder, Alibaba's intelligent coding platform launched less than a year ago, has achieved a 47.6% revenue share. Currently, products including ByteDance's Trae, Alibaba's Qoder, Tencent's CodeBuddy, Zhipu's CodeGeeX, SenseTime's Raccoon, Baidu's Comate, Huawei's CodeArts, and Moonshot's Kimi Code have all entered the market.

AI coding has become one of the main consumption scenarios for model inference computing power. Anthropic's Claude Code saw its annualized revenue grow from $17 million in April 2025 to $2.5 billion in February 2026, surpassing $1 billion just six months after launch. OpenAI's Codex product also exceeded $1 billion in annualized revenue by the end of January 2026, becoming a core growth driver for the company. In February 2025, Anthropic released Claude Code, pioneering the industry's shift to the Agentic Coding stage, moving the competitive focus from 'whether AI can write code' to 'whether AI can independently complete software engineering.' In September 2025, Codex usage was only 5% of Claude Code's, but by January 2026 it had approached 40%.

Domestic tech giants started later in AI coding but are accelerating their catch-up. Ant Group subsequently issued a similar notice. Tencent and ByteDance have not explicitly banned Claude Code, but both are tilting toward their own models. Tencent's CodeBuddy supports multiple models but continues to strengthen the integration of its self-developed Hunyuan model with agent capabilities. In early July, after the Ministry of Industry and Information Technology's cybersecurity threat and vulnerability information sharing platform issued a risk alert about a potential security backdoor in Claude Code, ByteDance internally treated it as a 'red line.'

ByteDance entered AI coding relatively late, with a path of first building an integrated development environment and then supplementing models. Trae initially integrated multiple models rather than relying entirely on its own. In November 2025, ByteDance released Seed-Code, but its performance still lagged behind Claude Sonnet 4.5. Since 2026, multiple internal application departments at ByteDance have been required to use Seed models. After Seed 2.1 was released on June 23, Tan Dai said ByteDance had truly entered the game in coding. ByteDance officially stated that Seed 2.1 Pro's coding capabilities are on par with Claude Opus 4.6, and its comprehensive usage cost is nearly 80% lower than the Claude Opus 4.6 to 4.8 series.

AI coding is becoming an important driver of cloud service growth. OpenAI's first-quarter 2026 revenue was approximately $5.7 billion, with enterprise business accounting for 40% of total revenue, and Codex is one of its core growth drivers. Anthropic derives 70% to 80% of its revenue from enterprise customers and API business, and its gross margin jumped from 38% a year ago to over 70%. In April 2026, after ByteDance executives visited Anthropic, the company internally adjusted its AI resource allocation, shifting focus toward serving enterprise products. Liu Weiguang, president of Alibaba Cloud's public cloud business unit, said that in the cloud computing era, internal software development and labor outsourcing budgets are untouchable, but AI coding can hit 100% of those budgets.

Microsoft has integrated GitHub Copilot into GitHub and Azure, Google has incorporated Gemini Code Assist into its Google Cloud development system, Alibaba is strengthening its Alibaba Cloud development ecosystem around Qoder, Tencent is promoting synergy between CodeBuddy and Tencent Cloud, and ByteDance is enhancing the linkage between Trae, Volcano Engine, and Seed models. ByteDance internal data shows that over 90% of the Trae team's code is completed by AI, and per-capita requirement throughput has increased by 60%.

AI coding is one of the most fiercely competitive tracks at the model level. Token consumption for complex programming agent tasks can be up to 1,000 times that of traditional code Q&A tasks.

Alibaba Cloud's MaaS business saw Token revenue grow 15-fold in the first five months of 2026, with monthly Token revenue reaching hundreds of millions of RMB. Zhipu's API call pricing increased cumulatively by 83% in the first quarter of 2026, yet call volume still grew 400%, and annualized revenue surpassed $250 million as of March. After the price adjustment, Zhipu's GLM-5.1 cache-hit Token price in coding scenarios is close to that of Claude Sonnet 4.6.

The high-frequency usage of AI coding also brings rising costs. Uber internally found that after employees widely used AI development tools, they consumed most of the annual AI budget within a few months, so it began restricting the use of some high-cost tools. Accenture has restricted non-essential use of AI tools for some non-research and development positions to control overall corporate AI spending. These cases reflect that as agents continue to run, AI coding is becoming one of the most expensive large-model applications for enterprises. Reducing inference costs is the core of the next stage of competition.