Claude 4.5 Haiku vs GPT-5.5: pricing & cost comparison
On input tokens, Claude 4.5 Haiku is the cheaper of the two — 80% less per million ($1 vs $5). On output, Claude 4.5 Haiku is 83% cheaper ($5 vs $30) — and since output is usually the dominant cost driver, that gap matters more than it looks.
Side by side
| Claude 4.5 Haiku | GPT-5.5 | |
|---|---|---|
| Input / 1M tokens | $1 | $5 |
| Output / 1M tokens | $5 | $30 |
| Context window | 200,000 | 1,050,000 |
| Token-count accuracy | ±2% | exact |
| Cost — 10,000 input + 2,000 output tokens | $0.02 | $0.11 |
What a real request costs
Take a representative turn — 10,000 input + 2,000 output tokens. Claude 4.5 Haiku comes to $0.02, GPT-5.5 to $0.11. Across 100,000 requests that's a $9000 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.
Different leagues
These two sit in different price tiers — GPT-5.5 runs roughly 6× the per-request cost of Claude 4.5 Haiku on the worked example — so they rarely compete for the same job. Reach for Claude 4.5 Haiku on high-volume, latency-sensitive work (classification, extraction, routing) and GPT-5.5 only where the harder reasoning earns its price. They're different vendors, so expect a different API and tokenizer: the OpenAI side counts exactly; the other lands within a few percent — budget a small calibration buffer when you switch.
See the full breakdown on the dedicated pages for Claude 4.5 Haiku and GPT-5.5.
FAQ
- Is Claude 4.5 Haiku or GPT-5.5 cheaper?
- For a typical request (10,000 input + 2,000 output tokens), Claude 4.5 Haiku is cheaper — about 82% less, or roughly $9000 saved per 100,000 requests. Claude 4.5 Haiku runs $1/$5 per 1M input/output tokens; GPT-5.5 runs $5/$30.
- Which has the larger context window?
- GPT-5.5, at 1,050,000 tokens versus 200,000.
- How accurate are these token counts?
- Claude 4.5 Haiku: Approximated with cl100k_base — drift typically <2% on English and code. GPT-5.5: Exact tokenization via the canonical OpenAI vocab (o200k_base). 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 and developers.openai.com, verified 2026-07-06. Vendor pricing changes often — confirm before you commit.