Gemini 1.5 Pro vs GPT-4o: Pricing Comparison

Compare pricing, capabilities, and costs for your LLM workloads.

Google

Gemini 1.5 Pro

Pricing (per 1M tokens)

Input$1.25
Output$5.00
Cached Input$0.3125
Batch Input$0.6250
Batch Output$2.50

Context & Output

Context Window2M tokens
Max Output8.2K tokens

Capabilities

Categoryflagship
Multimodaltext + image + audio
Fine-tuningNo
StreamingYes

OpenAI

GPT-4o

Pricing (per 1M tokens)

Input$2.50
Output$10.00
Cached Input$1.25
Batch Input$1.25
Batch Output$5.00

Context & Output

Context Window128K tokens
Max Output16.4K tokens

Capabilities

Categorymid
Multimodaltext + image + audio
Fine-tuningYes
StreamingYes

Quick Verdict

Cheaper Input Price

Gemini 1.5 Pro

50.0% cheaper

Cheaper Output Price

Gemini 1.5 Pro

50.0% cheaper

Larger Context Window

Gemini 1.5 Pro

+1.9M tokens

Cost Comparison

Sample workload: 1,000,000 input tokens + 1,000,000 output tokens

Gemini 1.5 Pro

$6.25

$1.25/1M input + $5.00/1M output

GPT-4o

$12.50

$2.50/1M input + $10.00/1M output

Gemini 1.5 Pro is 50.0% cheaper for this workload.

Frequently Asked Questions

Which is cheaper, Gemini 1.5 Pro or GPT-4o?
For input tokens, Gemini 1.5 Pro is cheaper at $1.25 per 1M tokens. For output tokens, Gemini 1.5 Pro is cheaper at $5.00 per 1M tokens. The overall cost depends on your workload's input/output ratio.
What is the context window size of Gemini 1.5 Pro vs GPT-4o?
Gemini 1.5 Pro has a context window of 2M tokens, while GPT-4o has 128K tokens. Gemini 1.5 Pro supports a larger context window of 2M tokens, which is beneficial for processing longer documents.
How do Gemini 1.5 Pro and GPT-4o compare for batch processing?
Both models support batch processing with discounted rates. Gemini 1.5 Pro offers a better batch rate at $0.6250 per 1M input tokens. Batch processing is ideal for non-time-sensitive workloads where you can wait for processing.

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