GPT-5 nano vs Mistral Small 3.2: Pricing Comparison
Compare pricing, capabilities, and costs for your LLM workloads.
OpenAI
GPT-5 nano
Pricing (per 1M tokens)
Input$0.0500
Output$0.4000
Cached Input$0.005000
Batch Input$0.0250
Batch Output$0.2000
Context & Output
Context Window400K tokens
Max Output128K tokens
Capabilities
Categorybudget
Multimodaltext
Fine-tuningNo
StreamingYes
Mistral
Mistral Small 3.2
Pricing (per 1M tokens)
Input$0.0600
Output$0.1800
Cached Input$0.0300
Context & Output
Context Window131.1K tokens
Max Output32.8K tokens
Capabilities
Categorybudget
Multimodaltext
Fine-tuningNo
StreamingYes
Quick Verdict
Cheaper Input Price
GPT-5 nano
16.7% cheaper
Cheaper Output Price
Mistral Small 3.2
55.0% cheaper
Larger Context Window
GPT-5 nano
+268.9K tokens
Cost Comparison
Sample workload: 1,000,000 input tokens + 1,000,000 output tokens
GPT-5 nano
$0.4500
$0.0500/1M input + $0.4000/1M output
Mistral Small 3.2
$0.2400
$0.0600/1M input + $0.1800/1M output
Mistral Small 3.2 is 46.7% cheaper for this workload.
Frequently Asked Questions
Which is cheaper, GPT-5 nano or Mistral Small 3.2?
For input tokens, GPT-5 nano is cheaper at $0.0500 per 1M tokens. For output tokens, Mistral Small 3.2 is cheaper at $0.1800 per 1M tokens. The overall cost depends on your workload's input/output ratio.
What is the context window size of GPT-5 nano vs Mistral Small 3.2?
GPT-5 nano has a context window of 400K tokens, while Mistral Small 3.2 has 131.1K tokens. GPT-5 nano supports a larger context window of 400K tokens, which is beneficial for processing longer documents.
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