Gemini 2.5 Pro vs GPT-4.1: Pricing Comparison
Compare pricing, capabilities, and costs for your LLM workloads.
Gemini 2.5 Pro
Pricing (per 1M tokens)
Input$1.25
Output$10.00
Cached Input$0.1250
Batch Input$0.6250
Batch Output$5.00
Context & Output
Context Window1M tokens
Max Output65.5K tokens
Capabilities
Categoryflagship
Multimodaltext + image + audio
Fine-tuningNo
StreamingYes
OpenAI
GPT-4.1
Pricing (per 1M tokens)
Input$2.00
Output$8.00
Cached Input$0.5000
Batch Input$1.00
Batch Output$4.00
Context & Output
Context Window1.0M tokens
Max Output32.8K tokens
Capabilities
Categoryflagship
Multimodaltext + image
Fine-tuningYes
StreamingYes
Quick Verdict
Cheaper Input Price
Gemini 2.5 Pro
37.5% cheaper
Cheaper Output Price
GPT-4.1
20.0% cheaper
Larger Context Window
GPT-4.1
+47.6K tokens
Cost Comparison
Sample workload: 1,000,000 input tokens + 1,000,000 output tokens
Gemini 2.5 Pro
$11.25
$1.25/1M input + $10.00/1M output
GPT-4.1
$10.00
$2.00/1M input + $8.00/1M output
GPT-4.1 is 11.1% cheaper for this workload.
Frequently Asked Questions
Which is cheaper, Gemini 2.5 Pro or GPT-4.1?
For input tokens, Gemini 2.5 Pro is cheaper at $1.25 per 1M tokens. For output tokens, GPT-4.1 is cheaper at $8.00 per 1M tokens. The overall cost depends on your workload's input/output ratio.
What is the context window size of Gemini 2.5 Pro vs GPT-4.1?
Gemini 2.5 Pro has a context window of 1M tokens, while GPT-4.1 has 1.0M tokens. GPT-4.1 supports a larger context window of 1.0M tokens, which is beneficial for processing longer documents.
How do Gemini 2.5 Pro and GPT-4.1 compare for batch processing?
Both models support batch processing with discounted rates. Gemini 2.5 Pro offers a better batch rate at $0.6250 per 1M input tokens. Batch processing is ideal for non-time-sensitive workloads where you can wait for processing.
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