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

On input tokens, GPT-4o mini is the cheaper of the two — 95% less per million ($3 vs $0.15). On output, GPT-4o mini is 96% cheaper ($15 vs $0.6) — and since output is usually the dominant cost driver, that gap matters more than it looks.

Side by side

Claude 4.5 SonnetGPT-4o mini
Input / 1M tokens$3$0.15
Output / 1M tokens$15$0.6
Context window200,000128,000
Token-count accuracy±2%exact
Cost — 10,000 input + 2,000 output tokens$0.06$0.0027

What a real request costs

Take a representative turn — 10,000 input + 2,000 output tokens. Claude 4.5 Sonnet comes to $0.06, GPT-4o mini to $0.0027. Across 100,000 requests that's a $5730 swing in favour of GPT-4o mini. 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 mini give exact counts; the others land within a few percent. See the full breakdown on the dedicated pages for Claude 4.5 Sonnet and GPT-4o mini.

FAQ

Is Claude 4.5 Sonnet or GPT-4o mini cheaper?
For a typical request (10,000 input + 2,000 output tokens), GPT-4o mini is cheaper — about 96% less, or roughly $5730 saved per 100,000 requests. Claude 4.5 Sonnet runs $3/$15 per 1M input/output tokens; GPT-4o mini runs $0.15/$0.6.
Which has the larger context window?
Claude 4.5 Sonnet, at 200,000 tokens versus 128,000.
How accurate are these token counts?
Claude 4.5 Sonnet: Approximated with cl100k_base — drift typically <2% on English and code. GPT-4o mini: Exact tokenization via the canonical OpenAI vocab (o200k_base). The dollar math itself is exact once the token count is known.

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