GPT-5.4 vs Grok 4.5: cost compared
Last verified
Grok 4.5 is 20% cheaper on input and 60% cheaper on output than GPT-5.4. Whether that makes it the right choice depends entirely on whether it does your task well enough — this page gives you the cost side of that trade, precisely.
Rates side by side
| $ per million tokens | GPT-5.4 | Grok 4.5 |
|---|---|---|
| Input | $2.50 | $2.00 |
| Output | $15.00 | $6.00 |
| Cached input | $0.25 | $0.30 |
| Output : input ratio | 6.0× | 3.0× |
What the difference is worth
Monthly cost for the same workload on each, without caching:
| Workload | GPT-5.4 | Grok 4.5 | Difference |
|---|---|---|---|
| Support chatbot 1,000 conversations/month · 2,000 in + 500 out each | $12.50 | $7.00 | $5.50 saved |
| RAG search 10,000 queries/month · 8,000 in + 400 out each | $260 | $184 | $76.00 saved |
| Bulk extraction 10,000 documents · 3,000 in + 300 out each | $120 | $78.00 | $42.00 saved |
| Coding agent 100 runs/month · 400,000 in + 20,000 out each | $130 | $92.00 | $38.00 saved |
Which to use
Grok 4.5 if the task is well-specified and mechanical — extraction, classification, formatting, routine transformation. The saving is real and compounds with volume.
GPT-5.4 if the task involves genuine reasoning, long-horizon planning, or work where a wrong answer is expensive to catch. Paying 1.3× more on input is trivial compared to the cost of shipping a bad result.
These are different providers, so switching means a different SDK and a different tokenizer. The same text is a different number of tokens on each, so the price difference above is approximate at the margin. Measure token counts on your real inputs before committing.
Don't skip caching
Cached input costs $0.25 on GPT-5.4 and $0.30 on Grok 4.5. If your prompts share a stable prefix, caching on the more expensive model can beat switching to the cheaper one outright — worth checking before you migrate anything.
Sources
OpenAI rates verified 2026-08-05 (source). xAI rates verified 2026-08-05 (source).