Gemini 3.7 Flash vs GPT-5.5: Pricing Comparison
Compare pricing, capabilities, and costs for your LLM workloads.
Gemini 3.7 Flash
Pricing (per 1M tokens)
Input$0.7500
Output$3.75
Cached Input$0.0750
Batch Input$0.3750
Batch Output$1.88
Context & Output
Context Window1M tokens
Max Output65.5K tokens
Capabilities
Categorymid
Multimodaltext + image + audio
Fine-tuningNo
StreamingYes
OpenAI
GPT-5.5
Pricing (per 1M tokens)
Input$5.00
Output$30.00
Cached Input$0.5000
Batch Input$2.50
Batch Output$15.00
Context & Output
Context Window1M tokens
Max Output128K tokens
Capabilities
Categoryflagship
Multimodaltext + image + audio
Fine-tuningNo
StreamingYes
Quick Verdict
Cheaper Input Price
Gemini 3.7 Flash
85.0% cheaper
Cheaper Output Price
Gemini 3.7 Flash
87.5% cheaper
Larger Context Window
GPT-5.5
+0 tokens
Cost Comparison
Sample workload: 1,000,000 input tokens + 1,000,000 output tokens
Gemini 3.7 Flash
$4.50
$0.7500/1M input + $3.75/1M output
GPT-5.5
$35.00
$5.00/1M input + $30.00/1M output
Gemini 3.7 Flash is 87.1% cheaper for this workload.
Frequently Asked Questions
Which is cheaper, Gemini 3.7 Flash or GPT-5.5?
For input tokens, Gemini 3.7 Flash is cheaper at $0.7500 per 1M tokens. For output tokens, Gemini 3.7 Flash is cheaper at $3.75 per 1M tokens. The overall cost depends on your workload's input/output ratio.
What is the context window size of Gemini 3.7 Flash vs GPT-5.5?
Gemini 3.7 Flash has a context window of 1M tokens, while GPT-5.5 has 1M tokens. Gemini 3.7 Flash supports a larger context window of 1M tokens, which is beneficial for processing longer documents.
How do Gemini 3.7 Flash and GPT-5.5 compare for batch processing?
Both models support batch processing with discounted rates. Gemini 3.7 Flash offers a better batch rate at $0.3750 per 1M input tokens. Batch processing is ideal for non-time-sensitive workloads where you can wait for processing.
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