GPT-5.6 Luna vs Mistral Large 4: Pricing Comparison
Compare pricing, capabilities, and costs for your LLM workloads.
OpenAI
GPT-5.6 Luna
Pricing (per 1M tokens)
Input$0.2000
Output$1.20
Cached Input$0.0200
Batch Input$0.1000
Batch Output$0.6000
Context & Output
Context Window1M tokens
Max Output128K tokens
Capabilities
Categorybudget
Multimodaltext + image
Fine-tuningNo
StreamingYes
Mistral
Mistral Large 4
Pricing (per 1M tokens)
Input$0.6800
Output$2.09
Cached Input$0.0700
Context & Output
Context Window262.1K tokens
Max Output32.8K tokens
Capabilities
Categoryflagship
Multimodaltext + image
Fine-tuningNo
StreamingYes
Quick Verdict
Cheaper Input Price
GPT-5.6 Luna
70.6% cheaper
Cheaper Output Price
GPT-5.6 Luna
42.6% cheaper
Larger Context Window
GPT-5.6 Luna
+737.9K tokens
Cost Comparison
Sample workload: 1,000,000 input tokens + 1,000,000 output tokens
GPT-5.6 Luna
$1.40
$0.2000/1M input + $1.20/1M output
Mistral Large 4
$2.77
$0.6800/1M input + $2.09/1M output
GPT-5.6 Luna is 49.5% cheaper for this workload.
Frequently Asked Questions
Which is cheaper, GPT-5.6 Luna or Mistral Large 4?
For input tokens, GPT-5.6 Luna is cheaper at $0.2000 per 1M tokens. For output tokens, GPT-5.6 Luna is cheaper at $1.20 per 1M tokens. The overall cost depends on your workload's input/output ratio.
What is the context window size of GPT-5.6 Luna vs Mistral Large 4?
GPT-5.6 Luna has a context window of 1M tokens, while Mistral Large 4 has 262.1K tokens. GPT-5.6 Luna supports a larger context window of 1M tokens, which is beneficial for processing longer documents.
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