GPT-4.1 mini vs GPT-5.3 Codex: Pricing Comparison
Compare pricing, capabilities, and costs for your LLM workloads.
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
OpenAI
GPT-5.3 Codex
Pricing (per 1M tokens)
Input$1.75
Output$14.00
Cached Input$0.1750
Context & Output
Context Window400K tokens
Max Output128K tokens
Capabilities
Categoryflagship
Multimodaltext + image
Fine-tuningNo
StreamingYes
Quick Verdict
Cheaper Input Price
GPT-4.1 mini
77.1% cheaper
Cheaper Output Price
GPT-4.1 mini
88.6% 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-4.1 mini
$2.00
$0.4000/1M input + $1.60/1M output
GPT-5.3 Codex
$15.75
$1.75/1M input + $14.00/1M output
GPT-4.1 mini is 87.3% cheaper for this workload.
Frequently Asked Questions
Which is cheaper, GPT-4.1 mini or GPT-5.3 Codex?
For input tokens, GPT-4.1 mini is cheaper at $0.4000 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-4.1 mini vs GPT-5.3 Codex?
GPT-4.1 mini has a context window of 1.0M tokens, while GPT-5.3 Codex has 400K tokens. GPT-4.1 mini supports a larger context window of 1.0M tokens, which is beneficial for processing longer documents.
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