Model Comparison

Command R+ vs GPT-4.1 nano

GPT-4.1 nano significantly outperforms across most benchmarks. GPT-4.1 nano is 2.5x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

Command R+ outperforms in 0 benchmarks, while GPT-4.1 nano is better at 1 benchmark (MMLU).

GPT-4.1 nano significantly outperforms across most benchmarks.

Sat May 30 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

GPT-4.1 nano costs less

For input processing, Command R+ ($0.25/1M tokens) is 2.5x more expensive than GPT-4.1 nano ($0.10/1M tokens).

For output processing, Command R+ ($1.00/1M tokens) is 2.5x more expensive than GPT-4.1 nano ($0.40/1M tokens).

In conclusion, Command R+ is more expensive than GPT-4.1 nano.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers

Sat May 30 2026 • llm-stats.com

Command R+

Input tokens$0.25

Output tokens$1.00

Best providerCohere

GPT-4.1 nano

Input tokens$0.10

Output tokens$0.40

Best providerOpenAI

Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

GPT-4.1 nano accepts 1,047,576 input tokens compared to Command R+'s 128,000 tokens. Command R+ can generate longer responses up to 128,000 tokens, while GPT-4.1 nano is limited to 32,768 tokens.

Command R+

Input128,000 tokens

Output128,000 tokens

GPT-4.1 nano

Input1,047,576 tokens

Output32,768 tokens

Sat May 30 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

GPT-4.1 nano supports multimodal inputs, whereas Command R+ does not.

GPT-4.1 nano can handle both text and other forms of data like images, making it suitable for multimodal applications.

Command R+

Text

Images

Audio

Video

GPT-4.1 nano

Text

Images

Audio

Video

License

Usage and distribution terms

Command R+ is licensed under CC BY-NC, while GPT-4.1 nano 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-4.1 nano

Proprietary

Closed source

Release Timeline

When each model was launched

Command R+ was released on 2024-08-30, while GPT-4.1 nano was released on 2025-04-14.

GPT-4.1 nano is 8 months newer than Command R+.

Command R+

Aug 30, 2024

1.7 years ago

GPT-4.1 nano

Apr 14, 2025

1.1 years ago

7mo newer

Knowledge Cutoff

When training data ends

GPT-4.1 nano has a documented knowledge cutoff of 2024-05-31, while Command R+'s cutoff date is not specified.

We can confirm GPT-4.1 nano's training data extends to 2024-05-31, but cannot make a direct comparison without Command R+'s cutoff date.

Command R+

—

GPT-4.1 nano

May 2024

Provider Availability

Command R+ is available from Cohere, Bedrock. GPT-4.1 nano is available from OpenAI.

Command R+

Cohere

Input Price:Input: $0.25/1MOutput Price:Output: $1.00/1M

AWS Bedrock

Input Price:Input: $3.00/1MOutput Price:Output: $15.00/1M

GPT-4.1 nano

OpenAI

Input Price:Input: $0.10/1MOutput Price:Output: $0.40/1M

* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

GPT-4.1 nano

View details

OpenAI

Larger context window (1,047,576 tokens)

Supports multimodal inputs

Less expensive input tokens

Less expensive output tokens

Higher MMLU score (80.1% vs 75.7%)

Detailed Comparison

AI Model Comparison Table
Feature	Command R+	GPT-4.1 nano

FAQ

Common questions about Command R+ vs GPT-4.1 nano.

Which is better, Command R+ or GPT-4.1 nano?

GPT-4.1 nano significantly outperforms across most benchmarks. Command R+ is made by Cohere and GPT-4.1 nano 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-4.1 nano in benchmarks?

Command R+ scores HellaSwag: 88.6%, Winogrande: 85.4%, MMLU: 75.7%, ARC-C: 71.0%, GSM8k: 70.7%. GPT-4.1 nano scores MMLU: 80.1%, IFEval: 74.5%, CharXiv-D: 73.9%, MMMLU: 66.9%, Multi-IF: 57.2%.

Is Command R+ cheaper than GPT-4.1 nano?

GPT-4.1 nano is 2.5x cheaper for input tokens. Command R+ costs $0.25/M input and $1.00/M output via cohere. GPT-4.1 nano costs $0.10/M input and $0.40/M output via openai.

What are the context window sizes for Command R+ and GPT-4.1 nano?

Command R+ supports 128K tokens and GPT-4.1 nano supports 1.0M 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-4.1 nano?

Key differences include context window (128K vs 1.0M), input pricing ($0.25 vs $0.10/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-4.1 nano?

Command R+ is developed by Cohere and GPT-4.1 nano is developed by OpenAI.