AI
SpaceXAI Launches Grok 4.5 as Faster, Cheaper Alternative to Anthropic's Top-Tier Model
The newly public company unveiled its latest AI model, claiming significant token efficiency gains and aggressive pricing to compete with industry leaders.
TechCrunch — AI
SpaceXAI has introduced Grok 4.5, its most recent large language model, just weeks after the company's public listing. The release positions the new model as a practical solution for a wide range of business and knowledge work tasks.
Capabilities and Performance Claims#
The company describes Grok 4.5 as capable of handling routine AI applications—including software development, office administration, research, and content creation. A key differentiator, according to SpaceXAI, lies in operational efficiency: the model achieves roughly double the token throughput of competing offerings, which could meaningfully reduce costs for customers facing rising token expenses.
Released benchmark data suggests Grok 4.5 ranks competitively among leading models, though not quite at the absolute top tier. Company founder Elon Musk characterized it as comparable to Anthropic's Opus, stating on X: "It is an Opus-class model, but faster, more token-efficient and lower cost." He later refined the comparison, noting that Grok 4.5 performs at roughly the same capability level as Opus 4.7 while delivering faster inference speeds.
Pricing Advantage#
SpaceXAI set particularly aggressive pricing: $2 per million input tokens and $6 per million output tokens. That undercuts Anthropic's Opus 4.7 substantially ($5 and $25 respectively) and competes favorably with OpenAI's tiered offerings. OpenAI's premium Sol model costs $5 per million input tokens and $30 per million output tokens, while its budget Luna variant matches SpaceXAI's output pricing at $6 but starts at $1 for inputs.
Market Timing#
The launch arrives during a busy week for AI announcements. OpenAI plans to release GPT 5.6, its most advanced model, on Thursday—a deployment previously delayed by Trump administration security concerns. Both moves suggest intensifying competition among major AI developers to demonstrate cutting-edge capability while maintaining customer-friendly economics.

