Mistral Small 3.2 vs GPT-5.2 Pro: Pricing Comparison
Compare pricing, capabilities, and costs for your LLM workloads.
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
OpenAI
GPT-5.2 Pro
Pricing (per 1M tokens)
Input$10.50
Output$84.00
Context & Output
Context Window400K tokens
Max Output128K tokens
Capabilities
Categoryflagship
Multimodaltext + image + audio
Fine-tuningNo
StreamingYes
Quick Verdict
Cheaper Input Price
Mistral Small 3.2
99.4% cheaper
Cheaper Output Price
Mistral Small 3.2
99.8% cheaper
Larger Context Window
GPT-5.2 Pro
+268.9K tokens
Cost Comparison
Sample workload: 1,000,000 input tokens + 1,000,000 output tokens
Mistral Small 3.2
$0.2400
$0.0600/1M input + $0.1800/1M output
GPT-5.2 Pro
$94.50
$10.50/1M input + $84.00/1M output
Mistral Small 3.2 is 99.7% cheaper for this workload.
Frequently Asked Questions
Which is cheaper, Mistral Small 3.2 or GPT-5.2 Pro?
For input tokens, Mistral Small 3.2 is cheaper at $0.0600 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 Mistral Small 3.2 vs GPT-5.2 Pro?
Mistral Small 3.2 has a context window of 131.1K tokens, while GPT-5.2 Pro has 400K tokens. GPT-5.2 Pro supports a larger context window of 400K tokens, which is beneficial for processing longer documents.
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