Is Claude 4.5 Haiku or GPT-4o cheaper?

For a typical request (10,000 input + 2,000 output tokens), Claude 4.5 Haiku is cheaper — about 56% less, or roughly $2500 saved per 100,000 requests. Claude 4.5 Haiku runs $1/$5 per 1M input/output tokens; GPT-4o runs $2.5/$10.

Which has the larger context window?

Claude 4.5 Haiku, at 200,000 tokens versus 128,000.

How accurate are these token counts?

Claude 4.5 Haiku: Approximated with cl100k_base — drift typically <2% on English and code. GPT-4o: Exact tokenization via the canonical OpenAI vocab (o200k_base). The dollar math itself is exact once the token count is known.

Claude 4.5 Haiku vs GPT-4o: pricing & cost comparison

On input tokens, Claude 4.5 Haiku is the cheaper of the two — 60% less per million ($1 vs $2.5). On output, Claude 4.5 Haiku is 50% cheaper ($5 vs $10) — and since output is usually the dominant cost driver, that gap matters more than it looks.

Side by side

	Claude 4.5 Haiku	GPT-4o
Input / 1M tokens	$1	$2.5
Output / 1M tokens	$5	$10
Context window	200,000	128,000
Token-count accuracy	±2%	exact
Cost — 10,000 input + 2,000 output tokens	$0.02	$0.045

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-4o to $0.045. Across 100,000 requests that's a $2500 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.

Which should you pick?

These are different vendors, so a switch means a different API and a slightly different tokenizer — budget a small calibration buffer. GPT-4o give exact counts; the others land within a few percent. See the full breakdown on the dedicated pages for Claude 4.5 Haiku and GPT-4o.

FAQ

Is Claude 4.5 Haiku or GPT-4o cheaper?: For a typical request (10,000 input + 2,000 output tokens), Claude 4.5 Haiku is cheaper — about 56% less, or roughly $2500 saved per 100,000 requests. Claude 4.5 Haiku runs $1/$5 per 1M input/output tokens; GPT-4o runs $2.5/$10.
Which has the larger context window?: Claude 4.5 Haiku, at 200,000 tokens versus 128,000.
How accurate are these token counts?: Claude 4.5 Haiku: Approximated with cl100k_base — drift typically <2% on English and code. GPT-4o: Exact tokenization via the canonical OpenAI vocab (o200k_base). The dollar math itself is exact once the token count is known.