Command R+ vs GPT-4o mini
Command R+ and GPT-4o mini are closely matched at -0.1 and 3.9 on the LLM Stats Score. GPT-4o mini is 1.7x cheaper per token.
Cohere · OpenAI · Updated for 2026
Which is better?
Command R+ and GPT-4o mini are closely matched on the overall LLM Stats Score at -0.1 and 3.9.
In the 1 individual benchmarks reported for both models, GPT-4o mini wins 1; this is a narrower head-to-head signal than the composite indexes.
On price, GPT-4o mini is roughly 1.7x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose Command R+
- you want the most recent training data — it shipped Aug 2024
- you need open weights you can self-host or fine-tune
Choose GPT-4o mini
- you value its reported benchmark strengths — it wins 1 of 1 exact shared results
- cost matters — it's about 1.7x cheaper per token
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
6 reported for Command R+ · 9 for GPT-4o mini
Command R+ outperforms in 0 benchmarks, while GPT-4o mini is better at 1 benchmark (MMLU).
GPT-4o mini significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, Command R+ ($0.25/1M tokens) is 1.7x more expensive than GPT-4o mini ($0.15/1M tokens).
For output processing, Command R+ ($1.00/1M tokens) is 1.7x more expensive than GPT-4o mini ($0.60/1M tokens).
In conclusion, Command R+ is more expensive than GPT-4o mini.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Both models have the same input context window of 128,000 tokens. Command R+ can generate longer responses up to 128,000 tokens, while GPT-4o mini is limited to 16,384 tokens.
Input capabilities
Documented input modalities across available providers
GPT-4o mini supports multimodal inputs, whereas Command R+ does not.
GPT-4o mini can handle both text and other forms of data like images, making it suitable for multimodal applications.
Command R+
GPT-4o mini
License
Usage and distribution terms
Command R+ is licensed under CC BY-NC, while GPT-4o mini uses a proprietary license.
License differences may affect how you can use these models in commercial or open-source projects.
CC BY-NC
Open weights
Proprietary
Closed source
Release Timeline
When each model was launched
Command R+ was released on 2024-08-30, while GPT-4o mini was released on 2024-07-18.
Command R+ is 1 month newer than GPT-4o mini.
Aug 30, 2024
2.0 years ago
1mo newerJul 18, 2024
2.1 years ago
Knowledge Cutoff
When training data ends
GPT-4o mini has a documented knowledge cutoff of 2023-10-01, while Command R+'s cutoff date is not specified.
We can confirm GPT-4o mini's training data extends to 2023-10-01, but cannot make a direct comparison without Command R+'s cutoff date.
—
Oct 2023
Provider Availability
Command R+ is available from Cohere, Bedrock. GPT-4o mini is available from Azure.
Command R+
GPT-4o mini
Outputs Comparison
Judge for yourself.
Run your own prompts against Command R+ and GPT-4o mini side-by-side, then vote on the output you prefer.
FAQ
Common questions about Command R+ vs GPT-4o mini.