SpaceXAI releases Grok 4.5, which Elon describes as an ‘Opus-class model’

2026-07-08 · Source: AI News & Artificial Intelligence | TechCrunch · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Emerging Technologies & Innovation · Depth: Fundamental Awareness, quick

Summary

SpaceXAI has released Grok 4.5, its latest large language model, following the company's recent public offering. Described as a versatile workhorse, Grok 4.5 is designed to automate tasks such as coding, app-building, office work, research, and writing. The company claims it offers "twice greater token efficiency" compared to other leading models, addressing growing concerns about token costs. Benchmark metrics show Grok 4.5 is competitive with top models, though "just short of best-in-class." Elon Musk characterized Grok 4.5 as an "Opus-class model," specifically comparing it to Anthropic's Opus 4.7, noting it is faster, more token-efficient, and lower cost. Its pricing is set at \$2 per million input tokens and \$6 per million output tokens, significantly undercutting Opus 4.7's \$5 input and \$25 output costs, and competitive with OpenAI's Luna model.

Key takeaway

For AI Product Managers evaluating LLM integrations, Grok 4.5 presents a compelling cost-performance alternative. Its claimed "twice greater token efficiency" and significantly lower pricing (\$2 input, \$6 output per million tokens) compared to Opus 4.7 could drastically reduce operational expenses for knowledge work, coding, and research applications. You should benchmark Grok 4.5 against your current models to assess its real-world efficiency and cost savings for your specific use cases.

Key insights

Grok 4.5 delivers Opus-class capabilities with significantly improved token efficiency and lower operational costs, challenging market leaders.

Principles

• Token efficiency significantly reduces AI operational costs.
• Cost-performance balance drives competitive model adoption.
• "Opus-class" defines a high-complexity task benchmark.

In practice

• Automate coding and app-building tasks.
• Streamline office and clerical workflows.
• Enhance research and writing processes.

Topics

• Grok 4.5
• Large Language Models
• AI Model Costs
• Token Efficiency
• AI Benchmarking
• Knowledge Work Automation

Best for: CTO, VP of Engineering/Data, AI Engineer, Tech Journalist, Director of AI/ML, AI Product Manager

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Editorial summary, takeaway, and curation by AIssential. Original article published by AI News & Artificial Intelligence | TechCrunch.