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Gemini vs ChatGPT — API Pricing Comparison

Compare Google Gemini and OpenAI ChatGPT models side by side. Interactive calculator shows exact costs for your usage pattern.

Pricing data verified: Jul 8, 2026

Cheapest Model
Gemini
Flash Lite at $0.075/M input
Best Context Window
Gemini
1M tokens on all models
Mid-Tier Price
Tie
Both $1.25/$10 per 1M tokens

All Models Compared

Every Gemini and ChatGPT model, ranked by input price.

Model Provider Tier Input (per 1M) Output (per 1M) Context
Gemini 2.5 Flash-Lite Google Budget $0.075 $0.30 1M
Gemini 2.5 Flash-Lite Google Budget $0.10 $0.40 1M
GPT-4o mini OpenAI Budget $0.15 $0.60 128K
GPT-5 mini OpenAI Budget $0.25 $2.00 272K
Gemini 2.5 Pro Google Mid $1.25 $10.00 1M
GPT-5 OpenAI Premium $1.25 $10.00 272K
Gemini 3.1 Pro Google Mid $2.00 $12.00 1M
GPT-4o OpenAI Mid $2.50 $10.00 128K
GPT-5.5 OpenAI Premium $5.00 $30.00 1M

Calculate Your Exact Costs

Pick your Gemini and ChatGPT models, enter your usage, see the comparison.

vs
OpenAI
GPT-5
$0.00
per month
Input cost $0.00
Output cost $0.00
Per request $0.00
Google
Gemini 2.5 Pro
$0.00
per month
Input cost $0.00
Output cost $0.00
Per request $0.00
Enter your usage above to see savings.

Which Should You Choose?

High-Volume Chatbot

Millions of messages, short responses. Cost per message is critical.

Pick Gemini: Flash Lite at $0.075/M is half the price of GPT-4o mini. At 10M requests/month: $22.50 vs $45.

Code Generation

Complex reasoning, longer outputs. Quality and accuracy matter.

Pick ChatGPT: GPT-5 at $1.25/$10 matches Gemini 2.5 Pro pricing but has stronger coding benchmarks in many evaluations.

Long Document Analysis

Processing 500K+ token documents. Context window is the bottleneck.

Pick Gemini: Flash at $0.10/M with 1M context. GPT-4o mini only has 128K and costs more.

Data Classification

Simple categorization at massive scale. Budget is tight.

Pick Gemini: Flash Lite at $0.075/$0.30 is the cheapest production model available. 2x cheaper than GPT-4o mini.

RAG Pipeline

Retrieval-augmented generation with long context windows.

Pick Gemini: Flash with 1M context at $0.10/M handles large retrieved contexts at a fraction of the cost.

Multi-Model Pipeline

Route tasks to the best model for each job.

Use both: Gemini Flash Lite for volume + GPT-5 for reasoning. Average cost under $0.50/M tokens.

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Frequently Asked Questions

Is Gemini or ChatGPT cheaper for API usage?

Google Gemini is significantly cheaper at the budget tier. GPT-oss 20B at $0.08/$0.35 is the cheapest model in the entire market — half the price of GPT-4o mini ($0.15/$0.60). At the mid tier, Gemini 2.5 Pro ($1.25/$10) matches GPT-5 ($1.25/$10) exactly. Gemini's key advantage is 1M context windows even on budget models.

What is the cheapest Gemini model vs the cheapest ChatGPT model?

GPT-oss 20B at $0.08/$0.35 is the cheapest model available from any major provider. GPT-4o mini costs $0.15/$0.60 — exactly 2x more on both input and output. For high-volume workloads, Gemini Flash Lite offers the best value in the market.

Which has a bigger context window: Gemini or ChatGPT?

Gemini wins on context windows across all tiers. Gemini 2.5 Flash-Lite and Flash Lite both support 1M tokens. Gemini 2.5 Pro also supports 1M. ChatGPT's largest is GPT-5 at 272K and GPT-5.5 at 1M. For budget models, Gemini offers 8x the context of GPT-4o mini (128K) at a lower price.

Gemini 2.5 Pro vs GPT-5: which should I choose?

Both cost $1.25/$10 per 1M tokens — identical pricing. The difference is context window: Gemini 2.5 Pro offers 1M tokens vs GPT-5's 272K. For long-context tasks, Gemini is the clear winner. For tasks under 272K, choose based on quality benchmarks for your specific use case.

Can I use both Gemini and ChatGPT in the same application?

Yes. A common strategy: use Gemini Flash Lite ($0.075/M) for high-volume simple tasks, GPT-5 or Gemini 2.5 Pro ($1.25/M) for complex reasoning, and Claude Sonnet 4.6 ($3/M) for long-context analysis. This multi-model approach typically costs under $1/M tokens average — 60% less than using a single premium model.

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