GPT-6 Luna vs Codestral: 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
Codestral
Pricing (per 1M tokens)
Input$0.3000
Output$0.9000
Context & Output
Context Window256K tokens
Max Output32.8K tokens
Capabilities
Categorymid
Multimodaltext
Fine-tuningNo
StreamingYes
Quick Verdict
Cheaper Input Price
GPT-6 Luna
66.7% cheaper
Cheaper Output Price
GPT-6 Luna
44.4% cheaper
Larger Context Window
GPT-6 Luna
+744K 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
Codestral
$1.20
$0.3000/1M input + $0.9000/1M output
GPT-6 Luna is 50.0% cheaper for this workload.
Frequently Asked Questions
Which is cheaper, GPT-6 Luna or Codestral?
For input tokens, GPT-6 Luna is cheaper at $0.1000 per 1M tokens. For output tokens, GPT-6 Luna is cheaper at $0.5000 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 Codestral?
GPT-6 Luna has a context window of 1M tokens, while Codestral has 256K tokens. GPT-6 Luna supports a larger context window of 1M tokens, which is beneficial for processing longer documents.
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