SpaceXAI releases Grok 4.5, which Elon describes as an 'Opus-class model'
Elon Musk's tech company released the newest version of Grok on Wednesday, promising a cheaper, more efficient alternative to other powerful AI models. SpaceXAI has released its latest model, Grok 4.5 - the first since the company went public several weeks ago. In a blog post published Wednesday, SpaceXAI characterized its new release as a workhorse that can tackle all of the typical tasks that the AI industry has sought to automate: coding and app-building, office and clerical work, research, writing, and other forms of routine knowledge work.
Key Takeaways
- Grok can supposedly do all this for less spend, too, as SpaceXAI says that its model has "twice greater token efficiency" than other leading models.
If it carries through to real-world use cases, that efficiency would be a big advantage for SpaceXAI, since the cost of tokens has been a growing concern for AI consumers.
- It is an Opus-class model, but faster, more token-efficient and lower cost," wrote Musk in his post on X.
Musk later added : "Our internal assessment is that Grok 4.5 is roughly comparable to Opus 4.7, but much faster.
- Opus 4.7 , by comparison, costs $5 per million input tokens and $25 per million output tokens.
OpenAI has tiered costs for different model versions: Sol, its most expensive, costs $5 for 1 million input tokens and $30 for 1 million output tokens, while its least expensive, Luna, costs $1 for 1 million input and $6 for 1 million output tokens.
- OpenAI has called it its "strongest model yet."
Lucas Ropek Senior Writer, TechCrunch Lucas is a senior writer at TechCrunch, where he covers artificial intelligence, consumer tech, and startups.
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Stats & Key Facts
- #SpaceXAI says that its new model costs $2 per million input tokens and $6 per million output tokens.
- #Opus 4.7 , by comparison, costs $5 per million input tokens and $25 per million output tokens.
- #OpenAI has tiered costs for different model versions: Sol, its most expensive, costs $5 for 1 million input tokens and $30 for 1 million output tokens, while its least expensive, Luna, costs $1 for 1 million input and $6 for 1 million output tokens.
Grok can supposedly do all this for less spend, too, as SpaceXAI says that its model has "twice greater token efficiency" than other leading models. If it carries through to real-world use cases, that efficiency would be a big advantage for SpaceXAI, since the cost of tokens has been a growing concern for AI consumers. The company released benchmark metrics Wednesday that appeared to show Grok's competitiveness with other top models from SpaceXAI competitors, although just short of best-in-class: In a post on his social media platform X (which is a subsidiary of SpaceXAI), founder Elon Musk compared the model to Opus, Anthropic's LLM designed for intensive and complex tasks.
"Based on strong positive feedback from customers in our beta test program, @SpaceXAI will make Grok 4.5 available to the public tomorrow. It is an Opus-class model, but faster, more token-efficient and lower cost," wrote Musk in his post on X. Musk later added : "Our internal assessment is that Grok 4.5 is roughly comparable to Opus 4.7, but much faster.
The combination of capability, faster speed and lower cost is what makes it competitive." SpaceXAI says that its new model costs $2 per million input tokens and $6 per million output tokens. That's quite competitive, if Grok's capabilities match SpaceXAI's rhetoric.
For more details please read the original article at TechCrunch AI.
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