Gemini 3.1 Pro vs GPT-4o: Pricing Comparison
Compare pricing, capabilities, and costs for your LLM workloads.
Gemini 3.1 Pro
Pricing (per 1M tokens)
Input$2.00
Output$12.00
Cached Input$0.2000
Batch Input$1.00
Batch Output$6.00
Context & Output
Context Window1M tokens
Max Output65.5K 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 3.1 Pro
20.0% cheaper
Cheaper Output Price
GPT-4o
16.7% cheaper
Larger Context Window
Gemini 3.1 Pro
+872K tokens
Cost Comparison
Sample workload: 1,000,000 input tokens + 1,000,000 output tokens
Gemini 3.1 Pro
$14.00
$2.00/1M input + $12.00/1M output
GPT-4o
$12.50
$2.50/1M input + $10.00/1M output
GPT-4o is 10.7% cheaper for this workload.
Frequently Asked Questions
Which is cheaper, Gemini 3.1 Pro or GPT-4o?
For input tokens, Gemini 3.1 Pro is cheaper at $2.00 per 1M tokens. For output tokens, GPT-4o is cheaper at $10.00 per 1M tokens. The overall cost depends on your workload's input/output ratio.
What is the context window size of Gemini 3.1 Pro vs GPT-4o?
Gemini 3.1 Pro has a context window of 1M tokens, while GPT-4o has 128K tokens. Gemini 3.1 Pro supports a larger context window of 1M tokens, which is beneficial for processing longer documents.
How do Gemini 3.1 Pro and GPT-4o compare for batch processing?
Both models support batch processing with discounted rates. Gemini 3.1 Pro offers a better batch rate at $1.00 per 1M input tokens. Batch processing is ideal for non-time-sensitive workloads where you can wait for processing.
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