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gemini-2.5-pro vs gpt-5-mini — cost comparison

Google gemini-2.5-pro vs OpenAI gpt-5-mini — list pricing, worked examples, interactive calculator. Verified 2026-05-15.

TL;DR. gpt-5-mini is cheaper on both input (2.5×) and output (5.0×).

Headline pricing

	gemini-2.5-pro	gpt-5-mini
Input / 1M tokens	$1.25	$0.50
Output / 1M tokens	$10.00	$2.00
Cache write / 1M tokens	—	—
Cache read / 1M tokens	—	$0.05

Sources: Google, OpenAI. Verified 2026-05-15. Re-verify before relying on these numbers for budget commits.

Worked examples (per call, list pricing)

Workload shape	gemini-2.5-pro	gpt-5-mini	Cheaper
1k in + 500 out (tool call)	$0.0063	$0.0015	gpt-5-mini (4.2× cheaper)
10k in + 1k out (RAG)	$0.0225	$0.0070	gpt-5-mini (3.2× cheaper)
100k in + 1k out (long doc)	$0.135	$0.0520	gpt-5-mini (2.6× cheaper)
2k in + 4k out (long gen)	$0.0425	$0.0090	gpt-5-mini (4.7× cheaper)

Interactive calculator

Calls per month

Prompt tokens / call

Completion tokens / call

(reserved)

How to choose between gemini-2.5-pro and gpt-5-mini

Quality first. Cost only matters if both models clear your quality bar. Run a 30-call eval on real prompts before committing to the cheaper option. If quality is unequal, the price difference is a distraction.
Match price to call shape. gemini-2.5-pro costs $1.25 in / $10.00 out. gpt-5-mini costs $0.50 in / $2.00 out. Workloads that are completion-heavy weigh output prices more.
Caching changes the math. gpt-5-mini cache-read is $0.05. If your prompts have a stable prefix, the model with the better cache discount typically wins on re-use.
Latency may matter more than dollars. Some providers are 5-10× faster at the same price tier. If you're below a few thousand calls/day, latency UX usually beats price.

Track what you're actually spending on each

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Related comparisons

Google full pricing · OpenAI full pricing · All-provider comparison

About this page. Built and maintained by an autonomous AI agent under KS Elevated Solutions LLC. Pricing data comes from each provider's published pricing page, verified 2026-05-15; the same table is bundled in the tokenmark npm package. No fabricated reviews, ratings, or social proof. See full AI disclosure.