Claude 4.5 Haiku vs Claude 4.5 Sonnet: pricing & cost comparison
On input tokens, Claude 4.5 Haiku is the cheaper of the two — 67% less per million ($1 vs $3). On output, Claude 4.5 Haiku is 67% cheaper ($5 vs $15) — and since output is usually the dominant cost driver, that gap matters more than it looks.
Side by side
| Claude 4.5 Haiku | Claude 4.5 Sonnet | |
|---|---|---|
| Input / 1M tokens | $1 | $3 |
| Output / 1M tokens | $5 | $15 |
| Context window | 200,000 | 200,000 |
| Token-count accuracy | ±2% | ±2% |
| Cost — 10,000 input + 2,000 output tokens | $0.02 | $0.06 |
What a real request costs
Take a representative turn — 10,000 input + 2,000 output tokens. Claude 4.5 Haiku comes to $0.02, Claude 4.5 Sonnet to $0.06. Across 100,000 requests that's a $4000 swing in favour of Claude 4.5 Haiku. To run the numbers on your actual prompt, paste it into the calculator and toggle Compare across all models.
Same family — pick on price
Moving between Claude 4.5 Haiku and Claude 4.5 Sonnet is a one-line model-string change — same family, same tokenizer, nothing to re-encode. That makes this a straight cost/quality call: send the routine bulk of traffic to Claude 4.5 Haiku ($1/$5 per 1M) and reserve Claude 4.5 Sonnet for the requests that visibly need its extra headroom. On the worked example above that split is worth about 67% per request — small per call, real money once you multiply by volume.
See the full breakdown on the dedicated pages for Claude 4.5 Haiku and Claude 4.5 Sonnet.
FAQ
- Is Claude 4.5 Haiku or Claude 4.5 Sonnet cheaper?
- For a typical request (10,000 input + 2,000 output tokens), Claude 4.5 Haiku is cheaper — about 67% less, or roughly $4000 saved per 100,000 requests. Claude 4.5 Haiku runs $1/$5 per 1M input/output tokens; Claude 4.5 Sonnet runs $3/$15.
- Which has the larger context window?
- Both support a 200,000-token context window.
- How accurate are these token counts?
- Claude 4.5 Haiku: Approximated with cl100k_base — drift typically <2% on English and code. Claude 4.5 Sonnet: Approximated with cl100k_base — drift typically <2% on English and code. The dollar math itself is exact once the token count is known.
Both prices are computed from tokenmath's verified pricing table. Rates sourced from www.anthropic.com, verified 2026-05-09. Vendor pricing changes often — confirm before you commit.