Model Comparison

Command R+ vs GPT-4o miniWhich is better in 2026?

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

Verdict: Command R+ vs GPT-4o mini — which is better?

Command R+ (by Cohere) and GPT-4o mini (by OpenAI) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.

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

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.

Choose Command R+ if…

  • 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 if…

  • you want the strongest raw capability — it leads on 1 of 1 shared benchmarks
  • cost matters — it's about 1.7x cheaper per token
Want to compare interactively?Try the playground

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.

Sat Jun 13 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
Sat Jun 13 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
Sat Jun 13 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

1.8 years ago

1mo newer
GPT-4o mini

Jul 18, 2024

1.9 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.

Which is better, Command R+ or 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.

How does Command R+ compare to GPT-4o mini in benchmarks?

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%.

Is Command R+ cheaper than GPT-4o mini?

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.

What are the context window sizes for Command R+ and GPT-4o mini?

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.

What are the main differences between Command R+ and GPT-4o mini?

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.

Who makes Command R+ and GPT-4o mini?

Command R+ is developed by Cohere and GPT-4o mini is developed by OpenAI.

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