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 coding model with 83.3% on Terminal Bench, 64.7% on Swaybench Pro and roughly 80 tokens per second. The reported pricing is $2 per million input tokens and $6 per million output tokens, which would be appealing for debugging, prototyping and front-end component work. The GPT 5.5 comparison mainly relies on a World of AI test. The article does not provide official model cards, reproducible runs or a detailed methodology.
Nauti's Take
The price is compelling, but the coverage reads heavily like benchmark marketing. For developers, the useful question is not whether Grok 4.5 sits near GPT 5.5 on a leaderboard, but whether it fixes tests in your repo, understands dependencies and avoids shipping polished front ends with broken state.
Put it on the shortlist, then run a local eval: three real tickets, cost per solved ticket, review time and failure rate.
Briefingshow
If the numbers hold up, Grok 4.5 matters less as a prestige model and more as a cost lever for coding agents. Agentic coding loops can burn millions of tokens before a usable patch lands. The weak point is evidence quality: without reproducible benchmarks and real-repo tests, this is a prompt to evaluate, not a procurement answer.
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