Benchmarking the Next Wave: GLM4.6 and LongCat-Flash Step Into the Arena
Previously, we benchmarked GLM4.5 across multiple dimensions, highlighting its strengths in LaTeX, website creation, and everyday tasks. Now, with the release of GLM4.6 and the addition of new model LongCat-Flash, our benchmark expands to cover a wider spectrum of capabilities. These models are tested on diverse factors—from frontend development, image generation, and diagram creation to everyday utilities like product recommendations, web search, and task reminders. The goal is simple: to identify the best AI tool for the right task, whether it’s building applications, boosting productivity, or handling creative workloads.

GLM-4.6 marks a major leap forward in AI with upgrades in real-world coding, long-context processing, advanced reasoning, and agentic applications. Designed for scalability, it delivers stronger performance with a longer context window and superior coding abilities, making it highly reliable for enterprise and research needs. Benchmarking shows GLM-4.6 excels in frontend development, produces highly accurate LaTeX documents, and delivers impressive results in diagram generation, making it a strong choice for technical professionals. However, it still lacks image generation capabilities and could benefit from sharper product recommendation performance compared to top competitors.
LongCat-Flash is a powerful and efficient language model boasting 560 billion parameters, built on an innovative Mixture-of-Experts (MoE) architecture. By dynamically activating between 18.6B and 31.3B parameters (averaging ~27B) depending on context, it optimizes both computational efficiency and performance, making inference both fast and cost-effective. Backed by robust scaling strategies and tailored data training, it offers stability and consistent performance. In our benchmarks, LongCat-Flash shows strong results in web development, web search, and diagram generation, though it currently lacks text-to-image generation and has room to grow in product recommendation.
The latest benchmark paints a clear picture of how each AI model carves out its niche. GLM4.6, LongCat, and ChatGPT 5 steal the spotlight in website creation and LaTeX document generation, earning near-top marks that make them reliable for structured, technical outputs. In the visual category, Gemini 2.5 Pro, LLaMA4, and Step 3 dominate image generation, while models like GLM4.6, LongCat, and Mai-1 still lack this ability altogether. Diagram generation is another battleground where Claude Opus 4.1,GLM and Athena Chatapp consistently shine, while a few others stumble with scores hovering at 3.0. On the practical side, Athena Chatapp and ChatGPT 5 lead in product recommendation, making smart and relevant picks, while Gemma3 and Mistral Pixtral Large lag behind. For web search, ChatGPT 5, Qwen3, and LongCat prove the fastest and most reliable, whereas task reminders are handled best by Gemini ,ChatGpt and LLaMA4. Finally, in terms of speed, LLaMA4, Amazon Nova Pro, and Mai-1 keep the experience seamless with scores of 4 and above. Overall, the race shows clear leaders in every lane, but also reveals where some contenders need serious upgrades to stay competitive.
When it comes to balancing strengths across every benchmark, Athena Chatapp emerges as the most dependable all-rounder. Unlike models that specialize in one or two areas, Athena consistently delivers solid performance in website creation, LaTeX support, diagram generation, task reminders, product recommendations, and speed—making it the go-to for users who want everything in one place. What makes Athena even more valuable is its constant drive for improvement, refining its capabilities with every update to ensure a smoother, smarter, and more reliable user experience. By excelling across diverse tasks while still evolving over time, Athena proves itself not just as another tool, but as a trusted partner in boosting productivity and simplifying daily workflows.
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