Command R7B vs GPT-4.1 mini: Pricing Comparison
Compare pricing, capabilities, and costs for your LLM workloads.
Cohere
Command R7B
Pricing (per 1M tokens)
Input$0.0370
Output$0.1500
Context & Output
Context Window128K tokens
Max Output4.1K 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
Command R7B
90.8% cheaper
Cheaper Output Price
Command R7B
90.6% cheaper
Larger Context Window
GPT-4.1 mini
+919.6K tokens
Cost Comparison
Sample workload: 1,000,000 input tokens + 1,000,000 output tokens
Command R7B
$0.1870
$0.0370/1M input + $0.1500/1M output
GPT-4.1 mini
$2.00
$0.4000/1M input + $1.60/1M output
Command R7B is 90.6% cheaper for this workload.
Frequently Asked Questions
Which is cheaper, Command R7B or GPT-4.1 mini?
For input tokens, Command R7B is cheaper at $0.0370 per 1M tokens. For output tokens, Command R7B is cheaper at $0.1500 per 1M tokens. The overall cost depends on your workload's input/output ratio.
What is the context window size of Command R7B vs GPT-4.1 mini?
Command R7B has a context window of 128K 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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