GPT-5 nano vs Gemini 2.5 Flash Lite: Pricing Comparison
Compare pricing, capabilities, and costs for your LLM workloads.
OpenAI
GPT-5 nano
Pricing (per 1M tokens)
Input$0.0500
Output$0.4000
Cached Input$0.005000
Batch Input$0.0250
Batch Output$0.2000
Context & Output
Context Window400K tokens
Max Output128K tokens
Capabilities
Categorybudget
Multimodaltext
Fine-tuningNo
StreamingYes
Gemini 2.5 Flash Lite
Pricing (per 1M tokens)
Input$0.1000
Output$0.4000
Cached Input$0.0100
Batch Input$0.0500
Batch Output$0.2000
Context & Output
Context Window1M tokens
Max Output65.5K tokens
Capabilities
Categorybudget
Multimodaltext + image + audio
Fine-tuningNo
StreamingYes
Quick Verdict
Cheaper Input Price
GPT-5 nano
50.0% cheaper
Cheaper Output Price
Gemini 2.5 Flash Lite
0.0% cheaper
Larger Context Window
Gemini 2.5 Flash Lite
+600K tokens
Cost Comparison
Sample workload: 1,000,000 input tokens + 1,000,000 output tokens
GPT-5 nano
$0.4500
$0.0500/1M input + $0.4000/1M output
Gemini 2.5 Flash Lite
$0.5000
$0.1000/1M input + $0.4000/1M output
GPT-5 nano is 10.0% cheaper for this workload.
Frequently Asked Questions
Which is cheaper, GPT-5 nano or Gemini 2.5 Flash Lite?
For input tokens, GPT-5 nano is cheaper at $0.0500 per 1M tokens. For output tokens, Gemini 2.5 Flash Lite 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-5 nano vs Gemini 2.5 Flash Lite?
GPT-5 nano has a context window of 400K tokens, while Gemini 2.5 Flash Lite has 1M tokens. Gemini 2.5 Flash Lite supports a larger context window of 1M tokens, which is beneficial for processing longer documents.
How do GPT-5 nano and Gemini 2.5 Flash Lite compare for batch processing?
Both models support batch processing with discounted rates. GPT-5 nano offers a better batch rate at $0.0250 per 1M input tokens. Batch processing is ideal for non-time-sensitive workloads where you can wait for processing.
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