GPT-4.1 nano vs Gemini 2.5 Pro: Pricing Comparison
Compare pricing, capabilities, and costs for your LLM workloads.
OpenAI
GPT-4.1 nano
Pricing (per 1M tokens)
Input$0.1000
Output$0.4000
Cached Input$0.0250
Batch Input$0.0500
Batch Output$0.2000
Context & Output
Context Window1.0M tokens
Max Output32.8K tokens
Capabilities
Categorybudget
Multimodaltext + image
Fine-tuningNo
StreamingYes
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
Quick Verdict
Cheaper Input Price
GPT-4.1 nano
92.0% cheaper
Cheaper Output Price
GPT-4.1 nano
96.0% cheaper
Larger Context Window
GPT-4.1 nano
+47.6K tokens
Cost Comparison
Sample workload: 1,000,000 input tokens + 1,000,000 output tokens
GPT-4.1 nano
$0.5000
$0.1000/1M input + $0.4000/1M output
Gemini 2.5 Pro
$11.25
$1.25/1M input + $10.00/1M output
GPT-4.1 nano is 95.6% cheaper for this workload.
Frequently Asked Questions
Which is cheaper, GPT-4.1 nano or Gemini 2.5 Pro?
For input tokens, GPT-4.1 nano is cheaper at $0.1000 per 1M tokens. For output tokens, GPT-4.1 nano is cheaper at $0.4000 per 1M tokens. The overall cost depends on your workload's input/output ratio.
What is the context window size of GPT-4.1 nano vs Gemini 2.5 Pro?
GPT-4.1 nano has a context window of 1.0M tokens, while Gemini 2.5 Pro has 1M tokens. GPT-4.1 nano supports a larger context window of 1.0M tokens, which is beneficial for processing longer documents.
How do GPT-4.1 nano and Gemini 2.5 Pro compare for batch processing?
Both models support batch processing with discounted rates. GPT-4.1 nano offers a better batch rate at $0.0500 per 1M input tokens. Batch processing is ideal for non-time-sensitive workloads where you can wait for processing.
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