Is Claude 4.5 Haiku or GPT-4.1 Mini cheaper?

For a typical request (10,000 input + 2,000 output tokens), GPT-4.1 Mini is cheaper — about 64% less, or roughly $1280 saved per 100,000 requests. Claude 4.5 Haiku runs $1/$5 per 1M input/output tokens; GPT-4.1 Mini runs $0.4/$1.6.

Which has the larger context window?

GPT-4.1 Mini, at 1,047,576 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-4.1 Mini: 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-4.1 Mini: pricing & cost comparison

On input tokens, GPT-4.1 Mini is the cheaper of the two — 60% less per million ($1 vs $0.4). On output, GPT-4.1 Mini is 68% cheaper ($5 vs $1.6) — and since output is usually the dominant cost driver, that gap matters more than it looks.

Side by side

	Claude 4.5 Haiku	GPT-4.1 Mini
Input / 1M tokens	$1	$0.4
Output / 1M tokens	$5	$1.6
Context window	200,000	1,047,576
Token-count accuracy	±2%	exact
Cost — 10,000 input + 2,000 output tokens	$0.02	$0.0072

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-4.1 Mini to $0.0072. Across 100,000 requests that's a $1280 swing in favour of GPT-4.1 Mini. To run the numbers on your actual prompt, paste it into the calculator and toggle Compare across all models.

Close call — decide on output cost

Claude 4.5 Haiku and GPT-4.1 Mini are close enough on price that the tie-breakers matter more than the headline rate. Output tokens are usually the dominant cost driver, so weigh $5 vs $1.6 per 1M output first, then context window — GPT-4.1 Mini carries the larger one at 1,047,576 tokens. They're different vendors, so factor in a small tokenizer calibration buffer on whichever side isn't exact.

See the full breakdown on the dedicated pages for Claude 4.5 Haiku and GPT-4.1 Mini.

FAQ

Is Claude 4.5 Haiku or GPT-4.1 Mini cheaper?: For a typical request (10,000 input + 2,000 output tokens), GPT-4.1 Mini is cheaper — about 64% less, or roughly $1280 saved per 100,000 requests. Claude 4.5 Haiku runs $1/$5 per 1M input/output tokens; GPT-4.1 Mini runs $0.4/$1.6.
Which has the larger context window?: GPT-4.1 Mini, at 1,047,576 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-4.1 Mini: 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 openai.com, verified 2026-05-09. Vendor pricing changes often — confirm before you commit.