You are overpaying for intelligence. Grok 4.5 just proved it

SpaceXAI released Grok 4.5, a frontier AI model priced at $2 per million input tokens and $6 per million output tokens, achieving top-tier performance at roughly 90% lower cost per task than leading competitors. The model ranks #4 on the Artificial Analysis Intelligence Index and costs $0.31 per task, compared to $2.49 for Grok Build and $11.80 for Fable 5 on the same coding benchmark, signaling a shift in AI pricing from per-token to per-task economics.

You are overpaying for intelligence. Grok 4.5 just proved it SpaceXAI’s new model runs frontier tasks at a tenth of the cost per task. Here is the router that tells you exactly which model to use for every job, and pays for itself in a week Yesterday, the model wars turned into a pricing war. SpaceXAI shipped Grok 4.5 , its first model trained alongside Cursor, at $2 per million input tokens and $6 per million output . Musk’s own framing: “It is an Opus-class model, but faster, more token-efficient and lower cost.” The independent numbers back the pitch where it counts. Grok 4.5 ranks 4 on the Artificial Analysis Intelligence Index , behind only Fable 5, GPT-5.5, and Opus 4.8. And it hits those scores at a fraction of the spend: $0.31 per task on the index, and $0.49 per task on GDPval knowledge work, roughly 90% cheaper than the models ranked above it. The sharpest number in the whole launch: running the same coding-agent benchmark task costs $2.49 in Grok Build, $5.07 in Codex, and $11.80 with Fable 5 in Claude Code . Same job. Five times the bill. Here is the free insight, and it is the one that changes your bill this month: stop pricing models per token. Price them per completed task. Per-token prices lie. Sonnet 5 costs a fifth of Opus 4.8 per token, and at high effort it costs more per finished task, because it talks more. Grok 4.5 wins on economics because it uses 4.2x fewer output tokens than Opus on the same engineering tasks. Verbosity is a price. Almost everyone ignores it. Which means the question is longer “which model is best.” It is “which model is best for this task at this price ,” and that question has a table for an answer. I built it. Behind the paywall, The AI Model Router : ▫️ every task type mapped to the model that wins it on cost per completed task, across Grok 4.5, Fable 5, Opus 4.8, Sonnet 5, GPT-5.5, Gemini, Haiku, and the open modelsThe routing table,▫️ the verified cost figures for each lane, including the Sonnet trap that fools per-token shoppersThe per-task math,▫️ the single setting that swings cost 6x, triple the gap between any two model pricesThe effort dial,▫️ when to route up to Fable 5, and the two patterns that keep 90%+ of its power at half the costThe escalation ladder,▫️ what to run this week while Grok 4.5 costs zero in Grok Build and Cursor doubles your usageThe free-window plays,▫️ the quality dispute, the Cursor code-custody problem, and the regulatory overhang, priced honestlyThe three warnings,▫️ three tests that tell you whether Grok 4.5 clears your bar before you commit anythingThe 48-hour setup,▫️ the four events that should make you rerun this tableThe re-route triggers, One number for the no-brainer math: the average team pays $150 to $250 per developer per month for AI, and Uber’s engineers burned their entire 2026 AI budget in four months at $500 to $2,000 a head. Routing typically cuts that spend 40 to 70%. This resource costs less than one week of sending your work to the wrong model. 🧭 The AI Model Router The routing table, the per-task cost math, the effort dial, the escalation ladder, the free-window plays, and the re-route triggers, in one system you can apply today. Get The AI Model Router below 👇 Keep reading with a 7-day free trial Subscribe to The AI Corner to keep reading this post and get 7 days of free access to the full post archives.