Expired50% confidenceFactExact time
The trend of declining inference costs is already clearly visible in the pricing changes of models such as GPT-4o and Claude 3.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
7/13/2026
First Seen
This claim has expired. It is kept for the record and no longer describes the current state.
Valid until: 10/11/2026(expired)
Sources
Fable延期至7月19日：AI交互叙事产品的挑战与启示
Related Claims
VerifiedFrom GPT-4 to GPT-5.4, the per-token inference cost has dropped by approximately 97%, a change that occurred within two years.78% similarUnverifiedUsing a GPT-3.5-level model for simple tasks costs approximately 1/20 of flagship model pricing, and proper LLM routing can reduce overall inference costs by 60%–80%.71% similarUnverifiedThe generational capability gap between models is narrowing, with multiple models approaching or even surpassing GPT-4's reasoning advantage on certain benchmarks.67% similarUnverifiedThe per-inference cost of hundred-billion-parameter models has dropped by an order of magnitude over the past three years.65% similarUnverifiedIndustry estimates suggest that the inference cost of mainstream LLMs drops approximately 75% every 18 months, but demand is growing faster, causing total costs to continue rising65% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/502744API
curl https://kongchang.com/api/v1/knowledge/claims/502744MCP
get_claim(id=502744)