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Economicsecon-008P1

Smaller models execute faster, reducing compute wait times.

Claude 3 Haiku responds in 200ms vs…Claude 3 Haiku responds in 200ms vs 2000ms for Opus — 10x faster. On AWS Lambda at $0.0000166/GB-second, this saves 60% on serverless compute costs.

Context & Methodology

Without structured prompts that work reliably on small models, teams default to expensive frontier models for every task — paying 10x more in latency and compute.

Applicable Use Cases

workflow

Applies To

openaianthropicgoogle

Primary Impact

speed

Confidence Level

High

Platform Status

Planned

Implementation Effort

low

Recommendation

follow

Execution Priority

P1

Dependencies & Conflicts

Conflicts with:

Put This Evidence to Work

Use the STCO framework to implement findings like this in structured, testable prompts.

Draft-then-verify speculative decoding achieves 2-3x faster token generation with identical output quality, reducing GPU.Leviathan et al., 'Fast Inference from Transformer…