Gemini 2.5 Pro Preview 06-05 vs GPT-5 Image Mini

Gemini 2.5 Pro Preview 06-05 at $1.44 in and $11.50 out and GPT-5 Image Mini at $2.88 in and $2.30 out — per million tokens, from the same wallet.

Gemini 2.5 Pro Preview 06-05

Google

1.6¢

for a client proposal

$1.44 in · $11.50 out / 1M

1.05M context · released June 2025

Full page →

GPT-5 Image Mini

OpenAI

1.6¢

for a client proposal

$2.88 in · $2.30 out / 1M

400K context · released October 2025

Full page →

Asking all both at once — identical prompt, identical context — costs about 3.3¢ for a typical client proposal.

At a glance

Cheapest input: Gemini 2.5 Pro Preview 06-05 at $1.44 per million tokens.
Cheapest output: GPT-5 Image Mini at $2.30 per million tokens.
Largest context: Gemini 2.5 Pro Preview 06-05 at 1.05M tokens — about 1,500 pages.

Cost per task

Estimated totals at the rates above. Solid bar is input, lighter bar is output.

Quick code fix

2K in · 500 out

Gemini 2.5 Pro Preview 06-05

0.86¢

GPT-5 Image Mini

0.69¢

Draft a client proposal from notes

5K in · 800 out

Gemini 2.5 Pro Preview 06-05

1.6¢

GPT-5 Image Mini

1.6¢

Context-heavy session (Alyph workspace)

155K in · 4K out

Gemini 2.5 Pro Preview 06-05

$0.27

GPT-5 Image Mini

$0.45

Analyze a 50-page legal contract

35K in · 1K out

Gemini 2.5 Pro Preview 06-05

$0.06

GPT-5 Image Mini

$0.10

Large architecture refactor

250K in · 3K out

Gemini 2.5 Pro Preview 06-05

$0.77

GPT-5 Image Mini

$0.73

Long-context rate applied at this input size.

Solid part of each bar is input tokens, the lighter part is output. Models that don’t fit a task are marked instead of priced.

Cost vs Token Amount

Drag the slider to adjust the split between input and output workload.

80% Input20% Output

Gemini 2.5 Pro Preview 06-05

GPT-5 Image Mini

Adjust the ratio slider to change how output tokens influence the final price for equivalent workloads.

Pricing

Gemini 2.5 Pro Preview 06-05

GPT-5 Image Mini

Input / 1M tokens

$1.44

$2.88

Output / 1M tokens

$11.50

$2.30

Cached input / 1M

$0.144

$0.287

Web search

1.6¢ / search

1.1¢ / search

Specs

Gemini 2.5 Pro Preview 06-05

GPT-5 Image Mini

Provider

Google

OpenAI

Released

June 2025

October 2025

Context window

1.05M

400K

Max output

66K

128K

Input

Files, Images, Text, and Audio

Files, Images, and Text

Output

Text

Images and Text

Reasoning

Shows its thinking

Knowledge cutoff

2025-01-31

—

Try it with real numbers

2K tokens in · 500 tokens out.

Gemini 2.5 Pro Preview 06-05

Google

0.86¢

for this task

33% input · 67% output

Full pricing →

GPT-5 Image Mini

OpenAI

0.69¢

for this task

83% input · 17% output

Full pricing →

All 2, same prompt and context: 1.6¢. That is the entire cost of the comparison.

Your $5 welcome credit covers about 322 of these.

Which should you pick?

For long documents, Gemini 2.5 Pro Preview 06-05 has the largest context window here — 1.05M tokens.

On price, GPT-5 Image Mini is the cheapest of the two on a typical task, at about 1.6¢.

Or don’t pick. Send the identical prompt to all both, read the answers side by side, and keep the winner. How to run a fair bake-off →

Gemini 2.5 Pro Preview 06-05 pricing →GPT-5 Image Mini pricing →Add Lyria 3 Clip Preview Add Grok 4.20

Questions, answered

Which is cheaper, Gemini 2.5 Pro Preview 06-05 or GPT-5 Image Mini?

On a typical client proposal (5K tokens in, 800 out): GPT-5 Image Mini at 1.6¢; Gemini 2.5 Pro Preview 06-05 at 1.6¢. Long prompts can change the order when long-context rates apply.

Which has the largest context window?

Gemini 2.5 Pro Preview 06-05 — 1.05M tokens, about 1,500 pages.

Can I run Gemini 2.5 Pro Preview 06-05 and GPT-5 Image Mini side by side on Alyph?

Yes — that is what Alyph is built for: the identical prompt with identical context to all 2, answers rendered side by side, billed from one wallet. This exact combination costs about 3.3¢ for a typical task.

Ask both at once

Identical prompt, identical context, answers side by side — about 3.3¢ for a typical client proposal. Free to start, with $5 of credit.