BREAKING
AI Bills Cut 90%+ by Cheaper Models
0
%
cost cut
0
%
off via batch
0
%
savings, MIT Sloan
Output Price per 1M Tokens
Opus 4.8
25
Sonnet 4.6
15
Haiku 4.5
5
GPT-5.4 mini
4.5
Nano
1.25
How Teams Compress Costs
1
Match model to task
↓
2
Route to Haiku or Nano
↓
3
Reuse prompt cache
↓
4
Add batch discount
Where Cheap Models Fit
Cheaper models OK
low cost
●
Content moderation
●
Email summarization
●
Classification, extraction
Flagship still needed
high stakes
●
Complex reasoning
●
Coding
●
Autonomous agents
Right Model per Task Wins
AI NEWS BLITZ
Some OpenAI and Anthropic customers are slashing AI costs by over ninety percent.