Mistral Nemo vs GPT-6 Luna: Pricing Comparison
Compare pricing, capabilities, and costs for your LLM workloads.
Mistral
Mistral Nemo
Pricing (per 1M tokens)
Input$0.0200
Output$0.0400
Context & Output
Context Window131.1K tokens
Max Output32.8K tokens
Capabilities
Categorybudget
Multimodaltext
Fine-tuningNo
StreamingYes
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
Quick Verdict
Cheaper Input Price
Mistral Nemo
80.0% cheaper
Cheaper Output Price
Mistral Nemo
92.0% cheaper
Larger Context Window
GPT-6 Luna
+868.9K tokens
Cost Comparison
Sample workload: 1,000,000 input tokens + 1,000,000 output tokens
Mistral Nemo
$0.0600
$0.0200/1M input + $0.0400/1M output
GPT-6 Luna
$0.6000
$0.1000/1M input + $0.5000/1M output
Mistral Nemo is 90.0% cheaper for this workload.
Frequently Asked Questions
Which is cheaper, Mistral Nemo or GPT-6 Luna?
For input tokens, Mistral Nemo is cheaper at $0.0200 per 1M tokens. For output tokens, Mistral Nemo is cheaper at $0.0400 per 1M tokens. The overall cost depends on your workload's input/output ratio.
What is the context window size of Mistral Nemo vs GPT-6 Luna?
Mistral Nemo has a context window of 131.1K tokens, while GPT-6 Luna has 1M tokens. GPT-6 Luna supports a larger context window of 1M tokens, which is beneficial for processing longer documents.
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