Model Comparison

Command R+ vs GPT-4o mini

GPT-4o mini significantly outperforms across most benchmarks. GPT-4o mini is 1.7x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

Command R+ outperforms in 0 benchmarks, while GPT-4o mini is better at 1 benchmark (MMLU).

GPT-4o mini significantly outperforms across most benchmarks.

Fri Apr 03 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

GPT-4o mini costs less

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

Lowest available price from all providers
Fri Apr 03 2026 • llm-stats.com
Cohere
Command R+
Input tokens$0.25
Output tokens$1.00
Best providerCohere
OpenAI
GPT-4o mini
Input tokens$0.15
Output tokens$0.60
Best providerAzure
Notice missing or incorrect data?Start an Issue→

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.

Cohere
Command R+
Input128,000 tokens
Output128,000 tokens
OpenAI
GPT-4o mini
Input128,000 tokens
Output16,384 tokens
Fri Apr 03 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

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+

Text
Images
Audio
Video

GPT-4o mini

Text
Images
Audio
Video

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.

Command R+

CC BY-NC

Open weights

GPT-4o mini

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.

Command R+

Aug 30, 2024

1.6 years ago

1mo newer
GPT-4o mini

Jul 18, 2024

1.7 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.

Command R+

—

GPT-4o mini

Oct 2023

Provider Availability

Command R+ is available from Cohere, Bedrock. GPT-4o mini is available from Azure.

Command R+

cohere logo
Cohere
Input Price:Input: $0.25/1MOutput Price:Output: $1.00/1M
bedrock logo
AWS Bedrock
Input Price:Input: $3.00/1MOutput Price:Output: $15.00/1M

GPT-4o mini

azure logo
Azure
Input Price:Input: $0.15/1MOutput Price:Output: $0.60/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Cohere
Has open weights
OpenAI
Supports multimodal inputs
Less expensive input tokens
Less expensive output tokens
Higher MMLU score (82.0% vs 75.7%)

Detailed Comparison

AI Model Comparison Table
Feature
Cohere
Command R+
OpenAI
GPT-4o mini

FAQ

Common questions about Command R+ vs GPT-4o mini

GPT-4o mini significantly outperforms across most benchmarks. Command R+ is made by Cohere and GPT-4o mini is made by OpenAI. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
Command R+ scores HellaSwag: 88.6%, Winogrande: 85.4%, MMLU: 75.7%, ARC-C: 71.0%, GSM8k: 70.7%. GPT-4o mini scores HumanEval: 87.2%, MGSM: 87.0%, MMLU: 82.0%, DROP: 79.7%, MATH: 70.2%.
GPT-4o mini is 1.7x cheaper for input tokens. Command R+ costs $0.25/M input and $1.00/M output via cohere. GPT-4o mini costs $0.15/M input and $0.60/M output via azure.
Command R+ supports 128K tokens and GPT-4o mini supports 128K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include input pricing ($0.25 vs $0.15/M), multimodal support (no vs yes), licensing (CC BY-NC vs Proprietary). See the full comparison above for benchmark-by-benchmark results.
Command R+ is developed by Cohere and GPT-4o mini is developed by OpenAI.