o4 mini vs GPT-4.1: Pricing Comparison

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

OpenAI

o4 mini

Pricing (per 1M tokens)

Input$1.10
Output$4.40
Cached Input$0.2750
Batch Input$0.5500
Batch Output$2.20

Context & Output

Context Window200K tokens
Max Output100K tokens

Capabilities

Categorymid
Multimodaltext + image
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

o4 mini

45.0% cheaper

Cheaper Output Price

o4 mini

45.0% cheaper

Larger Context Window

GPT-4.1

+847.6K tokens

Cost Comparison

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

o4 mini

$5.50

$1.10/1M input + $4.40/1M output

GPT-4.1

$10.00

$2.00/1M input + $8.00/1M output

o4 mini is 45.0% cheaper for this workload.

Frequently Asked Questions

Which is cheaper, o4 mini or GPT-4.1?
For input tokens, o4 mini is cheaper at $1.10 per 1M tokens. For output tokens, o4 mini is cheaper at $4.40 per 1M tokens. The overall cost depends on your workload's input/output ratio.
What is the context window size of o4 mini vs GPT-4.1?
o4 mini has a context window of 200K 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 o4 mini and GPT-4.1 compare for batch processing?
Both models support batch processing with discounted rates. o4 mini offers a better batch rate at $0.5500 per 1M input tokens. Batch processing is ideal for non-time-sensitive workloads where you can wait for processing.

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