o3 vs Gemini 3.1 Pro: Pricing Comparison
Compare pricing, capabilities, and costs for your LLM workloads.
OpenAI
o3
Pricing (per 1M tokens)
Input$2.00
Output$8.00
Cached Input$0.5000
Batch Input$1.00
Batch Output$4.00
Context & Output
Context Window200K tokens
Max Output100K tokens
Capabilities
Categoryflagship
Multimodaltext + image
Fine-tuningNo
StreamingYes
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 3.1 Pro
0.0% cheaper
Cheaper Output Price
o3
33.3% cheaper
Larger Context Window
Gemini 3.1 Pro
+800K tokens
Cost Comparison
Sample workload: 1,000,000 input tokens + 1,000,000 output tokens
o3
$10.00
$2.00/1M input + $8.00/1M output
Gemini 3.1 Pro
$14.00
$2.00/1M input + $12.00/1M output
o3 is 28.6% cheaper for this workload.
Frequently Asked Questions
Which is cheaper, o3 or Gemini 3.1 Pro?
For input tokens, Gemini 3.1 Pro is cheaper at $2.00 per 1M tokens. For output tokens, o3 is cheaper at $8.00 per 1M tokens. The overall cost depends on your workload's input/output ratio.
What is the context window size of o3 vs Gemini 3.1 Pro?
o3 has a context window of 200K tokens, while Gemini 3.1 Pro has 1M tokens. Gemini 3.1 Pro supports a larger context window of 1M tokens, which is beneficial for processing longer documents.
How do o3 and Gemini 3.1 Pro 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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