Unverified50% confidenceDecision RuleExact time
If the GPU is processing requests only 30% of the time, the actual cost per token is about 3.3 times that under the full-load assumption (nominal cost ÷ utilization).
1
Sources
50%
Confidence
Long-term
Relevance
10/18/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedBeyond the break-even volume, the actual cost of a 30B-class model on a busy GPU is approximately $0.06–$0.85 per million tokens.76% similarUnverifiedIf a single request fills close to one million tokens of input, the input cost alone approaches $3, making cost control for frequent processing of very long contexts a factor that must be weighed during deployment.75% similarUnverifiedUsing one GPU running a 32B model at approximately 50% average utilization, compared against API pricing of $0.50/million tokens with approximately 500 tokens per request as the baseline, the break-even point is approximately 10 million requests/month, equivalent to approximately 5 billion tokens.73% similarUnverifiedMainstream model inference costs are priced per million tokens: GPT-4o is approximately $5–15, Claude 3.5 Sonnet is approximately $3–15, and the total token count for multi-step agent tasks is often 10–50 times that of a single conversation.72% similar
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