GPT-5.4 nano vs Mistral Large 4: Pricing Comparison
Compare pricing, capabilities, and costs for your LLM workloads.
OpenAI
GPT-5.4 nano
Pricing (per 1M tokens)
Input$0.2000
Output$1.25
Cached Input$0.0200
Batch Input$0.1000
Batch Output$0.6250
Context & Output
Context Window400K 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-5.4 nano
70.6% cheaper
Cheaper Output Price
GPT-5.4 nano
40.2% cheaper
Larger Context Window
GPT-5.4 nano
+137.9K tokens
Cost Comparison
Sample workload: 1,000,000 input tokens + 1,000,000 output tokens
GPT-5.4 nano
$1.45
$0.2000/1M input + $1.25/1M output
Mistral Large 4
$2.77
$0.6800/1M input + $2.09/1M output
GPT-5.4 nano is 47.7% cheaper for this workload.
Frequently Asked Questions
Which is cheaper, GPT-5.4 nano or Mistral Large 4?
For input tokens, GPT-5.4 nano is cheaper at $0.2000 per 1M tokens. For output tokens, GPT-5.4 nano is cheaper at $1.25 per 1M tokens. The overall cost depends on your workload's input/output ratio.
What is the context window size of GPT-5.4 nano vs Mistral Large 4?
GPT-5.4 nano has a context window of 400K tokens, while Mistral Large 4 has 262.1K tokens. GPT-5.4 nano supports a larger context window of 400K tokens, which is beneficial for processing longer documents.
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