Ministral 14B vs GPT-5 mini: Pricing Comparison
Compare pricing, capabilities, and costs for your LLM workloads.
Mistral
Ministral 14B
Pricing (per 1M tokens)
Input$0.2000
Output$0.2000
Cached Input$0.0200
Context & Output
Context Window262.1K tokens
Max Output16.4K tokens
Capabilities
Categorybudget
Multimodaltext
Fine-tuningNo
StreamingYes
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
Quick Verdict
Cheaper Input Price
Ministral 14B
20.0% cheaper
Cheaper Output Price
Ministral 14B
90.0% cheaper
Larger Context Window
GPT-5 mini
+137.9K tokens
Cost Comparison
Sample workload: 1,000,000 input tokens + 1,000,000 output tokens
Ministral 14B
$0.4000
$0.2000/1M input + $0.2000/1M output
GPT-5 mini
$2.25
$0.2500/1M input + $2.00/1M output
Ministral 14B is 82.2% cheaper for this workload.
Frequently Asked Questions
Which is cheaper, Ministral 14B or GPT-5 mini?
For input tokens, Ministral 14B is cheaper at $0.2000 per 1M tokens. For output tokens, Ministral 14B is cheaper at $0.2000 per 1M tokens. The overall cost depends on your workload's input/output ratio.
What is the context window size of Ministral 14B vs GPT-5 mini?
Ministral 14B has a context window of 262.1K tokens, while GPT-5 mini has 400K tokens. GPT-5 mini supports a larger context window of 400K tokens, which is beneficial for processing longer documents.
Need more tools?
Explore our complete suite of LLM calculators and comparison tools.