Model optimization
Claude 3 Haiku compression
Claude 3 Haiku offers the best cost-performance ratio among Anthropic models. At $0.25/1M input tokens, compression still saves ~65%, bringing effective costs to $0.09/1M.
Haiku with compression economics
At $0.25/1M input tokens, Haiku is already 10x cheaper than GPT-4o. With 65% compression, effective cost drops to $0.09/1M — only $0.00009 per 1,000-token prompt. For a high-volume application doing 100,000 queries/day, that is $9/day instead of $25/day without compression.
Frequently asked questions
Is compression worth it for such a cheap model?
At high volume, yes. 100K queries/day × 65% savings × $0.25/1M = $16/day savings, or ~$5,840/year.
Does Haiku handle compressed prompts well?
Yes. Haiku is surprisingly capable with compressed context, especially for straightforward tasks.
Build with less context
Put compression in front of your next LLM call.
Use the hosted API or run SuperCompress locally. Keep the evidence, drop the token waste, and measure the savings before it reaches your model.