GPT-4.1 mini vs Mistral Large 4: Pricing Comparison
Compare pricing, capabilities, and costs for your LLM workloads.
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
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-4.1 mini
41.2% cheaper
Cheaper Output Price
GPT-4.1 mini
23.4% cheaper
Larger Context Window
GPT-4.1 mini
+785.4K tokens
Cost Comparison
Sample workload: 1,000,000 input tokens + 1,000,000 output tokens
GPT-4.1 mini
$2.00
$0.4000/1M input + $1.60/1M output
Mistral Large 4
$2.77
$0.6800/1M input + $2.09/1M output
GPT-4.1 mini is 27.8% cheaper for this workload.
Frequently Asked Questions
Which is cheaper, GPT-4.1 mini or Mistral Large 4?
For input tokens, GPT-4.1 mini is cheaper at $0.4000 per 1M tokens. For output tokens, GPT-4.1 mini is cheaper at $1.60 per 1M tokens. The overall cost depends on your workload's input/output ratio.
What is the context window size of GPT-4.1 mini vs Mistral Large 4?
GPT-4.1 mini has a context window of 1.0M tokens, while Mistral Large 4 has 262.1K 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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