HomeZhipu GLM-5.1 Launches with Long-Context Performance Surpassing Opus 4.6
On April 10, Zhipu AI officially launched and open-sourced its new flagship model, GLM-5.1. The most significant breakthrough of this model is its capability for long-horizon task processing, establishing it as the world's first open-source model capable of working continuously for 8 hours.
Core Breakthrough: From "Q&A" to "Autonomous Work"
The Zhipu AI team highlighted that the new benchmark for large models is no longer just about benchmark scores, but rather "how long they can work autonomously."
8-Hour Endurance: GLM-5.1 can work independently and continuously on a single task for over 8 hours. During this period, it autonomously plans, executes, identifies bottlenecks, and self-evolves, ultimately delivering production-ready results.
Top-Tier Coding Ability: In the SWE-bench Pro benchmark, which evaluates professional software engineering, GLM-5.1 became the first domestic model to surpass the leading overseas model, Opus4.6 .
Exceptional Real-World Performance: In a programming test involving a massive data retrieval system, GLM-5.1 performed over 6,000 optimization operations, achieving a final speed six times faster than the previous best performance.
Industry Shift: From "Price Wars" to "Performance Premium"
Alongside its performance leap, Zhipu AI 's pricing strategy has also undergone a major shift.
Pricing Aligns with Global Leaders: Platform data indicates that GLM-5.1 increased its price by another 10%. Its pricing for coding scenarios has, for the first time, reached parity with the leading overseas provider, Anthropic .
Focusing on Commercial Value: Zhipu AI CEO Zhang Peng stated that prolonged low-price competition is unhealthy for the industry, and the price adjustment aims to restore AI's value to a reasonable range. Zhipu has already achieved global monetization, with its API business's Annual Recurring Revenue (ARR) growing 60-fold year-over-year.
Market Trend: Foundational Compute and Models Enter a "Price Increase" Phase
Since the start of 2026, China's AI industry has been collectively transitioning from "low-price volume play" to "value-based pricing."
Tencent Cloud: Announced a 5% price increase for its AI compute and container services.
Alibaba Cloud: Increased prices for AI compute-related products by 5% to 34%.
Baidu AI Cloud: Raised prices for related AI compute services by 5% to 30%.
Conclusion: The AGI Timeline
Industry consensus suggests a key metric for measuring Artificial General Intelligence (AGI) is the timeline for task completion. The time required for cutting-edge models to finish tasks is doubling every seven months. With GLM-5.1 introducing its "8-hour work mode," large models are formally evolving from question-answering chatbots into "virtual employees" capable of deep involvement in complex projects.
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On April 10,
Core Breakthrough: From "Q&A" to "Autonomous Work"
The
8-Hour Endurance:
Top-Tier Coding Ability: In the SWE-bench Pro benchmark, which evaluates professional software engineering,
Exceptional Real-World Performance: In a programming test involving a massive data retrieval system,
Industry Shift: From "Price Wars" to "Performance Premium"
Alongside its performance leap,
Pricing Aligns with Global Leaders: Platform data indicates that
Focusing on Commercial Value:
Market Trend: Foundational Compute and Models Enter a "Price Increase" Phase
Since the start of 2026, China's AI industry has been collectively transitioning from "low-price volume play" to "value-based pricing."
Tencent Cloud: Announced a 5% price increase for its AI compute and container services.
Alibaba Cloud: Increased prices for AI compute-related products by 5% to 34%.
Baidu AI Cloud: Raised prices for related AI compute services by 5% to 30%.
Conclusion: The AGI Timeline
Industry consensus suggests a key metric for measuring Artificial General Intelligence (AGI) is the timeline for task completion. The time required for cutting-edge models to finish tasks is doubling every seven months. With
Stripe to Acquire OpenRouter as AI Model Routing Gains Momentum
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