
Grok 4.5 Tool Loops: Tune Effort and Cache to Cut Cost
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Kodetra Technologies··7 min read Intermediate Summary
Build an agentic Grok 4.5 tool loop in Python: route reasoning_effort and cache to slash cost.
Grok 4.5 Tool Loops: Tune Effort and Cache to Cut Cost
xAI shipped Grok 4.5 on July 8, 2026, and developers moved fast because the numbers are hard to ignore: $2 per 1M input tokens and $6 per 1M output, roughly half of comparable frontier models, served at about 80 tokens/second with a 500K-token context window. xAI also says it solves engineering tasks in far fewer tokens than rivals (about 4x fewer output tokens per SWE-Bench Pro task), so the real bill is lower than the sticker price suggests.
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