Claude Haiku vs Sonnet Cost Calculator
Compare Anthropic Claude Haiku vs Sonnet (and Opus) API costs for the same prompt volume — per request, daily, and monthly — with optional prompt-cache hit rate.
1 Models to compare
2 Token volume
3 Volume
4 Cost comparison
| Model | Input / MTok | Output / MTok | Cache hit / MTok |
|---|
What a claude haiku vs sonnet cost calculator is for
Teams often default to Sonnet for every call. A claude haiku vs sonnet cost calculator shows when Haiku is “good enough” for classification, routing, short support replies, or high-volume extraction — and when Sonnet (or Opus) is worth the premium for harder reasoning. Plug in your real input/output tokens and daily request volume to see cost per request, daily burn, and monthly savings %.
- Haiku — cheapest current tier; best for high-QPS, short outputs.
- Sonnet — default production model; better quality on complex prompts.
- Opus — flagship reasoning/coding; highest list price in the mainstream lineup.
- Prompt caching — cache hits bill at ~10% of base input; set cache hit % if you reuse large system prompts.
FAQ
How do I calculate Claude Haiku vs Sonnet cost?
Cost per request ≈ (input tokens ÷ 1,000,000 × input $/MTok) + (output tokens ÷ 1,000,000 × output $/MTok). With caching, blend input between base and cache-hit rates by your cache hit %. Multiply by requests/day and days/month for period totals.
When is Haiku cheaper enough to switch?
When quality on your eval set is acceptable and volume is high. At Sep 2026 list rates Haiku 4.5 is roughly half of Sonnet 5 on both input and output — so identical traffic often saves ~50% before caching.
Do these rates include Batch API discounts?
No. This tool uses standard Messages API list prices. Batch is typically ~50% off both directions — apply that mentally or re-run with half the rates if you only use Batch.
Are Sep 2026 rates guaranteed?
No. Anthropic updates list prices. Always confirm on the official pricing page before budgeting.
Need help routing models or cutting LLM spend? Work with Faraz or WhatsApp +92 334 3454747.