GPT-5.4 nano vs Gemini 3.1 Pro: Pricing Comparison
Compare pricing, capabilities, and costs for your LLM workloads.
OpenAI
GPT-5.4 nano
Pricing (per 1M tokens)
Input$0.2000
Output$1.25
Cached Input$0.0200
Batch Input$0.1000
Batch Output$0.6250
Context & Output
Context Window400K tokens
Max Output128K tokens
Capabilities
Categorybudget
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
GPT-5.4 nano
90.0% cheaper
Cheaper Output Price
GPT-5.4 nano
89.6% cheaper
Larger Context Window
Gemini 3.1 Pro
+600K tokens
Cost Comparison
Sample workload: 1,000,000 input tokens + 1,000,000 output tokens
GPT-5.4 nano
$1.45
$0.2000/1M input + $1.25/1M output
Gemini 3.1 Pro
$14.00
$2.00/1M input + $12.00/1M output
GPT-5.4 nano is 89.6% cheaper for this workload.
Frequently Asked Questions
Which is cheaper, GPT-5.4 nano or Gemini 3.1 Pro?
For input tokens, GPT-5.4 nano is cheaper at $0.2000 per 1M tokens. For output tokens, GPT-5.4 nano is cheaper at $1.25 per 1M tokens. The overall cost depends on your workload's input/output ratio.
What is the context window size of GPT-5.4 nano vs Gemini 3.1 Pro?
GPT-5.4 nano has a context window of 400K 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 GPT-5.4 nano and Gemini 3.1 Pro compare for batch processing?
Both models support batch processing with discounted rates. GPT-5.4 nano offers a better batch rate at $0.1000 per 1M input tokens. Batch processing is ideal for non-time-sensitive workloads where you can wait for processing.
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