Gemini 2.5 Pro vs Gemini 3.1 Pro: Pricing Comparison

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

Google

Gemini 2.5 Pro

Pricing (per 1M tokens)

Input$1.25
Output$10.00
Cached Input$0.1250
Batch Input$0.6250
Batch Output$5.00

Context & Output

Context Window1M tokens
Max Output65.5K tokens

Capabilities

Categoryflagship
Multimodaltext + image + audio
Fine-tuningNo
StreamingYes

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

Quick Verdict

Cheaper Input Price

Gemini 2.5 Pro

37.5% cheaper

Cheaper Output Price

Gemini 2.5 Pro

16.7% cheaper

Larger Context Window

Gemini 3.1 Pro

+0 tokens

Cost Comparison

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

Gemini 2.5 Pro

$11.25

$1.25/1M input + $10.00/1M output

Gemini 3.1 Pro

$14.00

$2.00/1M input + $12.00/1M output

Gemini 2.5 Pro is 19.6% cheaper for this workload.

Frequently Asked Questions

Which is cheaper, Gemini 2.5 Pro or Gemini 3.1 Pro?
For input tokens, Gemini 2.5 Pro is cheaper at $1.25 per 1M tokens. For output tokens, Gemini 2.5 Pro 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 2.5 Pro vs Gemini 3.1 Pro?
Gemini 2.5 Pro has a context window of 1M tokens, while Gemini 3.1 Pro has 1M tokens. Gemini 2.5 Pro supports a larger context window of 1M tokens, which is beneficial for processing longer documents.
How do Gemini 2.5 Pro and Gemini 3.1 Pro compare for batch processing?
Both models support batch processing with discounted rates. Gemini 2.5 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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