GPT-6 Luna vs Ministral 14B: Pricing Comparison
Compare pricing, capabilities, and costs for your LLM workloads.
OpenAI
GPT-6 Luna
Pricing (per 1M tokens)
Input$0.1000
Output$0.5000
Cached Input$0.0100
Batch Input$0.0500
Batch Output$0.2500
Context & Output
Context Window1M tokens
Max Output128K tokens
Capabilities
Categorybudget
Multimodaltext + image
Fine-tuningNo
StreamingYes
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
Quick Verdict
Cheaper Input Price
GPT-6 Luna
50.0% cheaper
Cheaper Output Price
Ministral 14B
60.0% cheaper
Larger Context Window
GPT-6 Luna
+737.9K tokens
Cost Comparison
Sample workload: 1,000,000 input tokens + 1,000,000 output tokens
GPT-6 Luna
$0.6000
$0.1000/1M input + $0.5000/1M output
Ministral 14B
$0.4000
$0.2000/1M input + $0.2000/1M output
Ministral 14B is 33.3% cheaper for this workload.
Frequently Asked Questions
Which is cheaper, GPT-6 Luna or Ministral 14B?
For input tokens, GPT-6 Luna is cheaper at $0.1000 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 GPT-6 Luna vs Ministral 14B?
GPT-6 Luna has a context window of 1M tokens, while Ministral 14B has 262.1K tokens. GPT-6 Luna supports a larger context window of 1M tokens, which is beneficial for processing longer documents.
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