On Wednesday, SpaceXAI launched Grok 4.5, its newest AI model designed to help users write code, complete complex work tasks, and handle research-heavy projects.
SpaceXAI (formerly xAI) operates as a wholly owned artificial intelligence unit of Space Exploration Technologies Corp (SPCX).
The company said Grok 4.5 is its strongest model so far and was trained alongside Cursor.
SpaceXAI said the model can build apps from simple prompts, create Excel models, draft PowerPoint slides, and write clear documents in Word.
The company priced Grok 4.5 at $2 per million input tokens and $6 per million output tokens, making it cheaper than some rival AI models.
SpaceXAI's Grok 4.5 could pressure enterprise AI pricing by offering a lower-cost option for high-volume coding and agentic AI workloads, according to Counterpoint analyst Neil Shah.
Grok Targets Enterprise AI Cost Pressure
Shah said on Thursday that enterprises are facing "token bill shock" as autonomous agents and coding tools consume large volumes of tokens, making AI adoption increasingly expensive.
He said Grok 4.5 enters the market as a fast, "good enough" and cheaper model priced at $2 per million input tokens and $6 per million output tokens, below Anthropic's Claude Opus 4.8 pricing of $5 for input and $25 for output.
Analyst Sees Multi-Model AI Shift
Shah said enterprises are moving toward diversified AI stacks, in which they route workloads based on cost, speed, and accuracy rather than relying on a single model provider.
He said companies could use Claude for complex, high-stakes tasks while using Grok for high-volume developer workflows and repetitive agentic routing.
Shah said Grok's access to Cursor telemetry data could help it improve through developer interaction feedback.
He added that if Grok maintains its cost advantage while narrowing the accuracy gap, it could reshape enterprise AI economics and pose a new pricing threat to OpenAI and Anthropic.
SPCX Price Action: SpaceX shares were up 0.88% at $149.60 during premarket trading on Thursday, according to market data.
