Gemini 3.6 Flash vs GPT-5.2: Pricing Comparison
Compare pricing, capabilities, and costs for your LLM workloads.
Gemini 3.6 Flash
Pricing (per 1M tokens)
Input$1.50
Output$7.50
Cached Input$0.1500
Batch Input$0.7500
Batch Output$3.75
Context & Output
Context Window1M tokens
Max Output65.5K tokens
Capabilities
Categorymid
Multimodaltext + image + audio
Fine-tuningNo
StreamingYes
OpenAI
GPT-5.2
Pricing (per 1M tokens)
Input$1.75
Output$14.00
Cached Input$0.1750
Batch Input$0.8750
Batch Output$7.00
Context & Output
Context Window400K tokens
Max Output128K tokens
Capabilities
Categoryflagship
Multimodaltext + image + audio
Fine-tuningNo
StreamingYes
Quick Verdict
Cheaper Input Price
Gemini 3.6 Flash
14.3% cheaper
Cheaper Output Price
Gemini 3.6 Flash
46.4% cheaper
Larger Context Window
Gemini 3.6 Flash
+600K tokens
Cost Comparison
Sample workload: 1,000,000 input tokens + 1,000,000 output tokens
Gemini 3.6 Flash
$9.00
$1.50/1M input + $7.50/1M output
GPT-5.2
$15.75
$1.75/1M input + $14.00/1M output
Gemini 3.6 Flash is 42.9% cheaper for this workload.
Frequently Asked Questions
Which is cheaper, Gemini 3.6 Flash or GPT-5.2?
For input tokens, Gemini 3.6 Flash is cheaper at $1.50 per 1M tokens. For output tokens, Gemini 3.6 Flash is cheaper at $7.50 per 1M tokens. The overall cost depends on your workload's input/output ratio.
What is the context window size of Gemini 3.6 Flash vs GPT-5.2?
Gemini 3.6 Flash has a context window of 1M tokens, while GPT-5.2 has 400K tokens. Gemini 3.6 Flash supports a larger context window of 1M tokens, which is beneficial for processing longer documents.
How do Gemini 3.6 Flash and GPT-5.2 compare for batch processing?
Both models support batch processing with discounted rates. Gemini 3.6 Flash offers a better batch rate at $0.7500 per 1M input tokens. Batch processing is ideal for non-time-sensitive workloads where you can wait for processing.
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