Command R7B vs GPT-5.3 Codex: 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-5.3 Codex
Pricing (per 1M tokens)
Input$1.75
Output$14.00
Cached Input$0.1750
Context & Output
Context Window400K tokens
Max Output128K tokens
Capabilities
Categoryflagship
Multimodaltext + image
Fine-tuningNo
StreamingYes
Quick Verdict
Cheaper Input Price
Command R7B
97.9% cheaper
Cheaper Output Price
Command R7B
98.9% cheaper
Larger Context Window
GPT-5.3 Codex
+272K 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-5.3 Codex
$15.75
$1.75/1M input + $14.00/1M output
Command R7B is 98.8% cheaper for this workload.
Frequently Asked Questions
Which is cheaper, Command R7B or GPT-5.3 Codex?
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-5.3 Codex?
Command R7B has a context window of 128K tokens, while GPT-5.3 Codex has 400K tokens. GPT-5.3 Codex supports a larger context window of 400K tokens, which is beneficial for processing longer documents.
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