Since being acquired by the U.S. tech giant, Manus has maintained strong growth momentum. In recent weeks, its annualized revenue has risen to between $400 million and $500 million—a dramatic increase from the $100 million recorded when Meta acquired the company last December.
For Manus’s Chinese investors, therefore, a reversal of the Meta acquisition could ultimately generate substantial returns. Manus may also be well positioned for a future public listing.
4. Extreme Open-Source Scale and Architecture Optimization
Parameter Size: It adopts a Mixture-of-Experts (MoE) architecture with a staggering total of 744B parameters, but the active parameters per inference are only 40B, greatly improving operational efficiency.
Underlying Optimization: To support 1M context computations, the model introduces IndexShare technology (multiplexing the same index every four sparse attention layers), which reduces the computational load (FLOPs) in ultra-long context scenarios by nearly 2.9 times. Simultaneously, by improving the MTP (Multi-Token Prediction) layer, it increases the acceptance rate and generation speed of speculative decoding.
Open-Source License: It adopts the highly permissive MIT License. Combined with community quantization technologies (like Unsloth dynamic GGUF), the model—which would originally take up over 1.5TB of disk space—has been successfully compressed to around 200GB, allowing individuals and small teams to deploy it locally.
Zhipu has recently (June 2026) officially released and open-sourced its new generation flagship model, GLM-5.2. As one of the most powerful pure-text language models currently available in the open-source community, its overall performance is approaching or on par with top-tier closed-source models such as Claude 4.8 Opus, GPT-5.5, and Gemini 3.1 Pro.
Here are the core features of GLM-5.2
3. Multi-Tier Adjustable "Thinking Modes"
To strike a balance between reasoning capabilities and computational costs, GLM-5.2 natively integrates different depths of thinking modes (such as High and Max).
Max Mode: Used for solving highly complex engineering bottlenecks, where the model generates extremely detailed reasoning chains.
High Mode: Suitable for the vast majority of daily development and reasoning tasks. It guarantees high-quality output while reducing token consumption and latency by more than 2 to 2.5 times.
2. Top-Tier Coding and Long-Horizon Execution Capabilities (Agentic Tasks)
GLM-5.2 is tailor-made for long-horizon tasks and agentic scenarios. On authoritative coding and agent evaluation benchmarks (such as SWE-bench Pro and Terminal-Bench 2.1), it is currently the highest-ranking open-source model. Relying on its powerful tool use (Function Call) and autonomous search capabilities, it can complete a full project lifecycle in one go—from "requirements analysis" and "architecture design" to "front-end and back-end development" and "packaging and testing."
1. True 1M Ultra-Long Lossless Context
Compared to the previous generation (GLM-5.1's 200K), GLM-5.2 has massively expanded its context window to 1 million (1M) tokens. This is not just an increase in length; its performance in long-horizon tasks is significantly more stable. In practical tests, it can directly process an entire project-level codebase, ensuring it doesn't "go off track" when executing complex and time-consuming tasks, while strictly adhering to defined team development standards and hard constraints.
1. True 1M Ultra-Long Lossless Context
Compared to the previous generation (GLM-5.1's 200K), GLM-5.2 has massively expanded its context window to 1 million (1M) tokens. This is not just an increase in length; its performance in long-horizon tasks is significantly more stable. In practical tests, it can directly process an entire project-level codebase, ensuring it doesn't "go off track" when executing complex and time-consuming tasks, while strictly adhering to defined team development standards and hard constraints.
Zhipu has recently (June 2026) officially released and open-sourced its new generation flagship model, GLM-5.2. As one of the most powerful pure-text language models currently available in the open-source community, its overall performance is approaching or on par with top-tier closed-source models such as Claude 4.8 Opus, GPT-5.5, and Gemini 3.1 Pro.
Here are the core features of GLM-5.2
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