SUPERNOVA, a Japanese generative AI service provider, is now offering SpaceXAI's Grok 4.5 model through its Stella AI platform starting July 9, 2026. Grok 4.5, SpaceXAI's flagship model announced July 8, is designed for coding, agent tasks, and knowledge work with performance matching Anthropic's top models. The model achieved first place on a legal work benchmark and delivers roughly 2× the token efficiency of competing models, potentially reducing costs and improving response speed for users.
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SUPERNOVA, a generative AI service developer, will begin offering SpaceXAI's latest AI model Grok 4.5 in its Stella AI and Stella AI for Biz services starting July 9, 2026. Grok 4.5 was announced by SpaceXAI on July 8, 2026 as the company's top-tier AI model.
Why it matters
Grok 4.5 is designed to excel at coding, agent tasks, and knowledge work, with performance comparable to Anthropic's Claude Fable and Claude Opus 4.8. The model won first place on the Harvey Legal Agent Benchmark for legal work, suggesting it could be useful for document and specialized professional tasks. It delivers roughly 2× the token efficiency of major competing models on equivalent tasks, which may lower computational costs for users.
What to watch
Grok 4.5 offers approximately 80 tokens per second response speed and demonstrates strong performance across major benchmarks. The model is now available to Stella AI users in Japan as of July 9, 2026.
SUPERNOVA's adoption of Grok 4.5 reflects the rapid iteration cycle in generative AI model development. SpaceXAI announced Grok 4.5 on July 8, 2026, and SUPERNOVA made it available to its user base within a single day, indicating tight coordination between model providers and service platforms. The timing suggests that integrating new flagship models into established services has become a straightforward process in the market.
Grok 4.5's positioning centers on three competitive advantages: engineering and coding capability (supported by training on technical datasets), legal and professional document work (demonstrated by the Harvey Legal Agent Benchmark win), and computational efficiency (the claimed 2× token efficiency vs. major models). These strengths address different use cases—developers and engineers benefit from coding capability, legal and knowledge-work professionals from benchmark leadership, and all users from lower computational cost. SUPERNOVA frames this as part of its mission to connect technology and people and support an inclusive society, positioning the latest models as a tool for broader accessibility to advanced AI capabilities.
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