# High-Efficiency LLM Models SpaceXAI Grok 4.5 Is an Opus-Class Large Language Model By Adam Harrie | Written with AI assistance | Published 2026-07-19 | Tech Source: Trend Hunter, https://www.trendhunter.com/trends/large-language-model References: [techcrunch](https://techcrunch.com/2026/07/08/spacexai-releases-grok-4-5-which-elon-describes-as-an-opus-class-model/)  [SpaceXAI](https://www.trendhunter.com/trends/gopuff-and-spacexai) launched Grok 4.5, a new [large language model](https://www.trendhunter.com/trends/base-model) designed to handle coding, office tasks, research and writing while improving token efficiency. Released several weeks after the company's public offering, the model follows a beta testing period and is positioned as a faster, lower-cost option for routine knowledge work. SpaceXAI says Grok 4.5 delivers roughly twice the token efficiency of leading competing models, with pricing set at $2 per million input tokens and $6 per million output tokens. The company also published benchmark results comparing the model with other leading AI systems, while founder Elon Musk described Grok 4.5 as an "Opus-class" model, citing its combination of speed, capability and lower operating costs. For developers and businesses, Grok 4.5 could reduce the cost of deploying AI for high-volume workloads while maintaining competitive performance. The launch reflects the growing focus on improving efficiency and affordability as AI companies compete on both capability and operating costs. Image Credit: Shutterstock/Samuel Boivin ## Trend Insights (Trend Hunter) - Score: 8.2/10 - Popularity: 74% | Activity: 89% | Freshness: 84% - Audience gender: 50% men, 50% women - Primary generations: Millennial, Gen X - Top markets: North America, Europe, Asia ## Categories [Trend Hunter](https://www.trendhunter.com/trends) > [Tech](https://www.trendhunter.com/tech) > [AI](https://www.trendhunter.com/ai) ## Key Themes ### Why This Trend Is Growing - **Token-efficient AI:** Lower token consumption reshapes enterprise AI economics by making high-volume automation, analysis and content generation more financially accessible. - **Low-cost Knowledge Automation:** Affordable models with strong general capabilities expand the feasibility of embedding AI into routine office, coding and research workflows. - **Performance-cost Benchmarking:** Transparent comparisons around speed, capability and operating expense create new competitive pressure for AI providers to optimize beyond raw model quality. ### Industries Being Reshaped - **Artificial Intelligence:** Efficiency-focused model development signals a shift toward commercially scalable AI systems that balance advanced reasoning with sustainable deployment costs. - **Enterprise Software:** Business platforms gain room to integrate more AI features as lower inference costs reduce barriers to always-on assistants and workflow automation. - **Developer Tools:** Coding environments and technical productivity products benefit from cheaper high-performance models that can support frequent prompts, reviews and generation tasks. ## Related on Trend Hunter - [Golden Humanoid Prototypes](https://www.trendhunter.com/trends/optimus-25.md) - [AI Reasoning Models](https://www.trendhunter.com/trends/gpt5.md) - [Professional Desktop Automation Models](https://www.trendhunter.com/trends/gpt-54-pro.md) - [Onboard Vision-Language Models](https://www.trendhunter.com/trends/Loft-Orbital.md) - [Open-Weight LLM Startups](https://www.trendhunter.com/trends/moonshot-ai.md) - [AI-Based Creativity Tests](https://www.trendhunter.com/trends/universite-de-montreal.md) - [Codeless Natural Language Models](https://www.trendhunter.com/trends/operational-model.md) - [AI Aggregation Productivity Tools](https://www.trendhunter.com/trends/caleus-ai.md) - [All-in-One AI Models](https://www.trendhunter.com/trends/lazur-ai.md)