Last verified 2025-09-22 (left) · 2026-03-06 (right)

Gemini 2.5 Pro vs GPT-5.2 Pro — Pricing & Capability Comparison

Gemini 2.5 Pro charges $1.25 per million input tokens and $10.00 per million output tokens. GPT-5.2 Pro comes in at $21.00 / $168.00. Context windows span 200K vs 400K tokens respectively.

TL;DR — Quick Comparison

✓Gemini 2.5 Pro is cheaper overall: $11.25 per 1M tokens (in+out) vs $189.00 for GPT-5.2 Pro — saves $177.75 per 1M tokens
✓Input pricing: Gemini 2.5 Pro $1.25/1M vs GPT-5.2 Pro $21.00/1M
✓Output pricing: Gemini 2.5 Pro $10.00/1M vs GPT-5.2 Pro $168.00/1M
✓Context window: GPT-5.2 Pro offers more (400K vs 200K)
✓Use our calculator below to estimate costs for your specific usage pattern

Input price (per 1M)

Gemini 2.5 Pro

$1.25

GPT-5.2 Pro

$21.00

Gemini 2.5 Pro leads here

Output price (per 1M)

Gemini 2.5 Pro

$10.00

GPT-5.2 Pro

$168.00

Gemini 2.5 Pro leads here

Context window

Gemini 2.5 Pro

200,000 tokens

GPT-5.2 Pro

400,000 tokens

GPT-5.2 Pro leads here

Cached input

Gemini 2.5 Pro

Not published

GPT-5.2 Pro

Not published

No published data

Which one should you choose?

Skip the spreadsheet if you just need the practical takeaway. Use these rules when deciding between Gemini 2.5 Pro and GPT-5.2 Pro.

Choose Gemini 2.5 Pro if input tokens dominate your bill

Gemini 2.5 Pro has the lower input rate, which usually matters most for chat, RAG, classification, and long-prompt workflows where prompt volume stays much larger than generated output.

Choose Gemini 2.5 Pro if you generate long answers

Gemini 2.5 Pro is cheaper on output tokens, so it tends to win for report generation, coding assistance, reasoning traces, and any workflow where completions are long.

Choose GPT-5.2 Pro if context size is the blocker

GPT-5.2 Pro offers the larger published context window, which is more important than small pricing differences when you need to fit large files, long chats, or multi-document prompts into one request.

Cost comparison for 10K-token workloads

Side-by-side pricing for identical workloads (10,000 total tokens per request) across different distributions.

Scenario	Gemini 2.5 Pro	GPT-5.2 Pro
Balanced conversation 50% input · 50% output	$0.0563	$0.945
Input-heavy workflow 80% input · 20% output	$0.0300	$0.504
Generation heavy 30% input · 70% output	$0.0738	$1.24
Cached system prompt 90% cached input · 10% fresh output	$0.0212	$0.357

Frequently asked questions

Which is cheaper: Gemini 2.5 Pro or GPT-5.2 Pro?

Gemini 2.5 Pro is cheaper for input tokens at $1.25 per 1M tokens compared to $21.00. For output, Gemini 2.5 Pro costs $10.00 per 1M tokens versus $168.00 for GPT-5.2 Pro.

What is the cost per 1M tokens for Gemini 2.5 Pro?

Gemini 2.5 Pro pricing: $1.25 per 1M input tokens and $10.00 per 1M output tokens. Context window: 200,000 tokens.

What is the cost per 1M tokens for GPT-5.2 Pro?

GPT-5.2 Pro pricing: $21.00 per 1M input tokens and $168.00 per 1M output tokens. Context window: 400,000 tokens.

How much does it cost per 1K tokens?

Per 1K tokens: Gemini 2.5 Pro costs $0.0013 input / $0.0100 output. GPT-5.2 Pro costs $0.0210 input / $0.1680 output. This is useful for calculating small-scale usage costs.

Which model supports a larger context window?

GPT-5.2 Pro offers 400,000 tokens (400K) versus 200K for Gemini 2.5 Pro.

What is the estimated monthly cost for typical usage?

For a typical workload of 10M input + 2M output tokens per month: Gemini 2.5 Pro would cost approximately $32.50, while GPT-5.2 Pro would cost $546.00. Gemini 2.5 Pro is more economical for this usage pattern.

Do these models support prompt caching?

Gemini 2.5 Pro does not publish cached pricing. GPT-5.2 Pro does not publish cached pricing.

Which model is best for my use case?

Choose Gemini 2.5 Pro for cost-sensitive applications with high input volume. Choose GPT-5.2 Pro if you need 400K context for long documents or conversations. Consider prompt caching if you have repeated context. Use our token calculator to model your specific usage pattern.