Is Gemini 2.5 Flash or GPT-4.1 Mini cheaper?

For a typical request (10,000 input + 2,000 output tokens), GPT-4.1 Mini is cheaper — about 10% less, or roughly $80 saved per 100,000 requests. Gemini 2.5 Flash runs $0.3/$2.5 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 1,000,000.

How accurate are these token counts?

Gemini 2.5 Flash: Approximated with o200k_base; drift typically ~3% 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.

Gemini 2.5 Flash vs GPT-4.1 Mini: pricing & cost comparison

On input tokens, Gemini 2.5 Flash is the cheaper of the two — 25% less per million ($0.3 vs $0.4). On output, GPT-4.1 Mini is 36% cheaper ($2.5 vs $1.6) — and since output is usually the dominant cost driver, that gap matters more than it looks.

Side by side

	Gemini 2.5 Flash	GPT-4.1 Mini
Input / 1M tokens	$0.3	$0.4
Output / 1M tokens	$2.5	$1.6
Context window	1,000,000	1,047,576
Token-count accuracy	±3%	exact
Cost — 10,000 input + 2,000 output tokens	$0.008	$0.0072

What a real request costs

Take a representative turn — 10,000 input + 2,000 output tokens. Gemini 2.5 Flash comes to $0.008, GPT-4.1 Mini to $0.0072. Across 100,000 requests that's a $80 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

Gemini 2.5 Flash 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 $2.5 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 Gemini 2.5 Flash and GPT-4.1 Mini.

FAQ

Is Gemini 2.5 Flash or GPT-4.1 Mini cheaper?: For a typical request (10,000 input + 2,000 output tokens), GPT-4.1 Mini is cheaper — about 10% less, or roughly $80 saved per 100,000 requests. Gemini 2.5 Flash runs $0.3/$2.5 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 1,000,000.
How accurate are these token counts?: Gemini 2.5 Flash: Approximated with o200k_base; drift typically ~3% 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 ai.google.dev and openai.com, verified 2026-05-09. Vendor pricing changes often — confirm before you commit.