GPT-5 mini vs GPT-4.1 mini: Pricing Comparison

Compare pricing, capabilities, and costs for your LLM workloads.

OpenAI

GPT-5 mini

Pricing (per 1M tokens)

Input$0.2500
Output$2.00
Cached Input$0.0250
Batch Input$0.1250
Batch Output$1.00

Context & Output

Context Window400K tokens
Max Output128K tokens

Capabilities

Categorymid
Multimodaltext + image
Fine-tuningNo
StreamingYes

OpenAI

GPT-4.1 mini

Pricing (per 1M tokens)

Input$0.4000
Output$1.60
Cached Input$0.1000
Batch Input$0.2000
Batch Output$0.8000

Context & Output

Context Window1.0M tokens
Max Output32.8K tokens

Capabilities

Categorymid
Multimodaltext + image
Fine-tuningNo
StreamingYes

Quick Verdict

Cheaper Input Price

GPT-5 mini

37.5% cheaper

Cheaper Output Price

GPT-4.1 mini

20.0% cheaper

Larger Context Window

GPT-4.1 mini

+647.6K tokens

Cost Comparison

Sample workload: 1,000,000 input tokens + 1,000,000 output tokens

GPT-5 mini

$2.25

$0.2500/1M input + $2.00/1M output

GPT-4.1 mini

$2.00

$0.4000/1M input + $1.60/1M output

GPT-4.1 mini is 11.1% cheaper for this workload.

Frequently Asked Questions

Which is cheaper, GPT-5 mini or GPT-4.1 mini?
For input tokens, GPT-5 mini is cheaper at $0.2500 per 1M tokens. For output tokens, GPT-4.1 mini is cheaper at $1.60 per 1M tokens. The overall cost depends on your workload's input/output ratio.
What is the context window size of GPT-5 mini vs GPT-4.1 mini?
GPT-5 mini has a context window of 400K tokens, while GPT-4.1 mini has 1.0M tokens. GPT-4.1 mini supports a larger context window of 1.0M tokens, which is beneficial for processing longer documents.
How do GPT-5 mini and GPT-4.1 mini compare for batch processing?
Both models support batch processing with discounted rates. GPT-5 mini offers a better batch rate at $0.1250 per 1M input tokens. Batch processing is ideal for non-time-sensitive workloads where you can wait for processing.

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