GPT-5.6 Luna vs Gemini 2.5 Flash: Pricing Comparison
Compare pricing, capabilities, and costs for your LLM workloads.
OpenAI
GPT-5.6 Luna
Pricing (per 1M tokens)
Input$0.2000
Output$1.20
Cached Input$0.0200
Batch Input$0.1000
Batch Output$0.6000
Context & Output
Context Window1M tokens
Max Output128K tokens
Capabilities
Categorybudget
Multimodaltext + image
Fine-tuningNo
StreamingYes
Gemini 2.5 Flash
Pricing (per 1M tokens)
Input$0.3000
Output$2.50
Cached Input$0.0300
Batch Input$0.1500
Batch Output$1.25
Context & Output
Context Window1M tokens
Max Output65.5K tokens
Capabilities
Categorymid
Multimodaltext + image + audio
Fine-tuningNo
StreamingYes
Quick Verdict
Cheaper Input Price
GPT-5.6 Luna
33.3% cheaper
Cheaper Output Price
GPT-5.6 Luna
52.0% cheaper
Larger Context Window
Gemini 2.5 Flash
+0 tokens
Cost Comparison
Sample workload: 1,000,000 input tokens + 1,000,000 output tokens
GPT-5.6 Luna
$1.40
$0.2000/1M input + $1.20/1M output
Gemini 2.5 Flash
$2.80
$0.3000/1M input + $2.50/1M output
GPT-5.6 Luna is 50.0% cheaper for this workload.
Frequently Asked Questions
Which is cheaper, GPT-5.6 Luna or Gemini 2.5 Flash?
For input tokens, GPT-5.6 Luna is cheaper at $0.2000 per 1M tokens. For output tokens, GPT-5.6 Luna is cheaper at $1.20 per 1M tokens. The overall cost depends on your workload's input/output ratio.
What is the context window size of GPT-5.6 Luna vs Gemini 2.5 Flash?
GPT-5.6 Luna has a context window of 1M tokens, while Gemini 2.5 Flash has 1M tokens. GPT-5.6 Luna supports a larger context window of 1M tokens, which is beneficial for processing longer documents.
How do GPT-5.6 Luna and Gemini 2.5 Flash compare for batch processing?
Both models support batch processing with discounted rates. GPT-5.6 Luna 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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