GPT-4.1 nano vs Mistral Medium 3.1: Pricing Comparison
Compare pricing, capabilities, and costs for your LLM workloads.
OpenAI
GPT-4.1 nano
Pricing (per 1M tokens)
Input$0.1000
Output$0.4000
Cached Input$0.0250
Batch Input$0.0500
Batch Output$0.2000
Context & Output
Context Window1.0M tokens
Max Output32.8K tokens
Capabilities
Categorybudget
Multimodaltext + image
Fine-tuningNo
StreamingYes
Mistral
Mistral Medium 3.1
Pricing (per 1M tokens)
Input$0.4000
Output$2.00
Context & Output
Context Window131.1K tokens
Max Output32.8K tokens
Capabilities
Categorymid
Multimodaltext
Fine-tuningNo
StreamingYes
Quick Verdict
Cheaper Input Price
GPT-4.1 nano
75.0% cheaper
Cheaper Output Price
GPT-4.1 nano
80.0% cheaper
Larger Context Window
GPT-4.1 nano
+916.5K tokens
Cost Comparison
Sample workload: 1,000,000 input tokens + 1,000,000 output tokens
GPT-4.1 nano
$0.5000
$0.1000/1M input + $0.4000/1M output
Mistral Medium 3.1
$2.40
$0.4000/1M input + $2.00/1M output
GPT-4.1 nano is 79.2% cheaper for this workload.
Frequently Asked Questions
Which is cheaper, GPT-4.1 nano or Mistral Medium 3.1?
For input tokens, GPT-4.1 nano is cheaper at $0.1000 per 1M tokens. For output tokens, GPT-4.1 nano is cheaper at $0.4000 per 1M tokens. The overall cost depends on your workload's input/output ratio.
What is the context window size of GPT-4.1 nano vs Mistral Medium 3.1?
GPT-4.1 nano has a context window of 1.0M tokens, while Mistral Medium 3.1 has 131.1K tokens. GPT-4.1 nano supports a larger context window of 1.0M tokens, which is beneficial for processing longer documents.
Need more tools?
Explore our complete suite of LLM calculators and comparison tools.