Grok 4.5 Fully Tested: Matches GPT 5.5 Coding for $2 per Million Input Tokens
TL;DR
Grok 4.5 is positioned as a low-cost coding model for debugging, prototyping, front-end components, SVGs and animations. The reported benchmark numbers: 83.3% on Terminal Bench, 64.7% on SWE-Bench Pro, about 80 tokens per second and roughly level with GPT 5.5 Coding. Pricing is the concrete hook: $2 per million input tokens and $6 per million output tokens. The report also claims Grok 4.5 uses far fewer output tokens than Opus 4.8.
Nauti's Take
Start testing Grok 4.5 where iteration volume drives cost: bug fixes, small UI components, refactors, SVGs, and animation variants. Before switching workflows, measure three things in your own stack: output tokens per task, review failure rate, and latency with real repo context.
The benchmark base is thin, so treat the pricing edge as a hypothesis until your tasks prove it.
Briefingshow
If the numbers hold up, Grok 4.5 changes the cost math for coding agents: lower token use matters more in long debugging and refactoring runs than a single benchmark win. For teams, the practical question is whether a cheaper model can handle 80% of daily engineering work while routing the hardest cases to premium models.
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