Codestral vs GPT-4.1 mini: Pricing Comparison
Compare pricing, capabilities, and costs for your LLM workloads.
Mistral
Codestral
Pricing (per 1M tokens)
Input$0.3000
Output$0.9000
Context & Output
Context Window256K tokens
Max Output32.8K tokens
Capabilities
Categorymid
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
Codestral
25.0% cheaper
Cheaper Output Price
Codestral
43.8% cheaper
Larger Context Window
GPT-4.1 mini
+791.6K tokens
Cost Comparison
Sample workload: 1,000,000 input tokens + 1,000,000 output tokens
Codestral
$1.20
$0.3000/1M input + $0.9000/1M output
GPT-4.1 mini
$2.00
$0.4000/1M input + $1.60/1M output
Codestral is 40.0% cheaper for this workload.
Frequently Asked Questions
Which is cheaper, Codestral or GPT-4.1 mini?
For input tokens, Codestral is cheaper at $0.3000 per 1M tokens. For output tokens, Codestral is cheaper at $0.9000 per 1M tokens. The overall cost depends on your workload's input/output ratio.
What is the context window size of Codestral vs GPT-4.1 mini?
Codestral has a context window of 256K 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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