Grok 4.5 Fully Tested: Matches GPT 5.5 Coding for $2 per Million Input Tokens
TL;DR
Geeky Gadgets frames Grok 4.5 as a new coding model from the SpaceXAI orbit, aimed at debugging, rapid prototyping and front-end component work. Reported scores include 83.3% on Terminal Bench, 64.7% on Swaybench Pro and about 80 tokens per second. The claim: everyday coding performance close to GPT 5.5. Pricing is listed at $2 per million input tokens and $6 per million output tokens. The report also says Grok 4.5 produces 4.2 times fewer output tokens than Opus 4.8.
Nauti's Take
This is a strong price-performance claim, but not a free pass. Grok 4.5 sounds interesting for cheap, high-volume coding work: finding bugs, building components and producing prototypes.
That is where token cost and speed matter every day. For complex architecture, physics or specialized engineering, no team should turn one 83.3% benchmark result into a new default model.
Briefingshow
If the numbers hold up, coding AI competition shifts from raw peak performance to cost per useful development step. For teams running many agent loops, refactors or front-end iterations, a cheap and fast model can matter more than the absolute best model. But the evidence is still narrow: one benchmark package and one review do not equal broad real-world validation.
Video
Sources