Mistral Small 3.2 vs GPT-4.1 mini: 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-4.1 mini
Pricing (per 1M tokens)
Input$0.4000
Output$1.60
Cached Input$0.1000
Batch Input$0.2000
Batch Output$0.8000
Context & Output
Context Window1.0M tokens
Max Output32.8K tokens
Capabilities
Categorymid
Multimodaltext + image
Fine-tuningNo
StreamingYes
Quick Verdict
Cheaper Input Price
Mistral Small 3.2
85.0% cheaper
Cheaper Output Price
Mistral Small 3.2
88.8% cheaper
Larger Context Window
GPT-4.1 mini
+916.5K 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-4.1 mini
$2.00
$0.4000/1M input + $1.60/1M output
Mistral Small 3.2 is 88.0% cheaper for this workload.
Frequently Asked Questions
Which is cheaper, Mistral Small 3.2 or GPT-4.1 mini?
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-4.1 mini?
Mistral Small 3.2 has a context window of 131.1K tokens, while GPT-4.1 mini has 1.0M tokens. GPT-4.1 mini supports a larger context window of 1.0M tokens, which is beneficial for processing longer documents.
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