Gemini 3.1 Pro vs o1: Pricing Comparison

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

Google

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

o1

Pricing (per 1M tokens)

Input$15.00
Output$60.00
Cached Input$7.50
Batch Input$7.50
Batch Output$30.00

Context & Output

Context Window200K tokens
Max Output100K tokens

Capabilities

Categoryflagship
Multimodaltext + image
Fine-tuningNo
StreamingYes

Quick Verdict

Cheaper Input Price

Gemini 3.1 Pro

86.7% cheaper

Cheaper Output Price

Gemini 3.1 Pro

80.0% cheaper

Larger Context Window

Gemini 3.1 Pro

+800K 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

o1

$75.00

$15.00/1M input + $60.00/1M output

Gemini 3.1 Pro is 81.3% cheaper for this workload.

Frequently Asked Questions

Which is cheaper, Gemini 3.1 Pro or o1?
For input tokens, Gemini 3.1 Pro is cheaper at $2.00 per 1M tokens. For output tokens, Gemini 3.1 Pro is cheaper at $12.00 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 o1?
Gemini 3.1 Pro has a context window of 1M tokens, while o1 has 200K 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 o1 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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