Gemini 2.5 Flash Lite vs GPT-5.4 nano: Pricing Comparison
Compare pricing, capabilities, and costs for your LLM workloads.
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
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
Quick Verdict
Cheaper Input Price
Gemini 2.5 Flash Lite
50.0% cheaper
Cheaper Output Price
Gemini 2.5 Flash Lite
68.0% 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
Gemini 2.5 Flash Lite
$0.5000
$0.1000/1M input + $0.4000/1M output
GPT-5.4 nano
$1.45
$0.2000/1M input + $1.25/1M output
Gemini 2.5 Flash Lite is 65.5% cheaper for this workload.
Frequently Asked Questions
Which is cheaper, Gemini 2.5 Flash Lite or GPT-5.4 nano?
For input tokens, Gemini 2.5 Flash Lite is cheaper at $0.1000 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 Gemini 2.5 Flash Lite vs GPT-5.4 nano?
Gemini 2.5 Flash Lite has a context window of 1M tokens, while GPT-5.4 nano has 400K tokens. Gemini 2.5 Flash Lite supports a larger context window of 1M tokens, which is beneficial for processing longer documents.
How do Gemini 2.5 Flash Lite and GPT-5.4 nano compare for batch processing?
Both models support batch processing with discounted rates. Gemini 2.5 Flash Lite 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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