Model Comparison

Command R+ vs Gemini Diffusion

Comparing Command R+ and Gemini Diffusion across benchmarks, pricing, and capabilities.

Want to compare interactively?Try the playground

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

Command R+ and Gemini Diffusion don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Context Window

Maximum input and output token capacity

Only Command R+ specifies input context (128,000 tokens). Only Command R+ specifies output context (128,000 tokens).

Cohere
Command R+
Input128,000 tokens
Output128,000 tokens
Google
Gemini Diffusion
Input- tokens
Output- tokens
Sat May 30 2026 • llm-stats.com

License

Usage and distribution terms

Command R+ is licensed under CC BY-NC, while Gemini Diffusion 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

Gemini Diffusion

Proprietary

Closed source

Release Timeline

When each model was launched

Command R+ was released on 2024-08-30, while Gemini Diffusion was released on 2025-05-20.

Gemini Diffusion is 9 months newer than Command R+.

Command R+

Aug 30, 2024

1.7 years ago

Gemini Diffusion

May 20, 2025

1.0 years ago

8mo newer

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Cohere
Larger context window (128,000 tokens)
Has open weights
Google

No standout differentiators in the data we have for this pair.

Detailed Comparison

AI Model Comparison Table
Feature
Cohere
Command R+
Google
Gemini Diffusion

FAQ

Common questions about Command R+ vs Gemini Diffusion.

Which is better, Command R+ or Gemini Diffusion?

Command R+ (Cohere) and Gemini Diffusion (Google) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does Command R+ compare to Gemini Diffusion in benchmarks?

Command R+ scores HellaSwag: 88.6%, Winogrande: 85.4%, MMLU: 75.7%, ARC-C: 71.0%, GSM8k: 70.7%. Gemini Diffusion scores HumanEval: 89.6%, MBPP: 76.0%, Global-MMLU-Lite: 69.1%, LBPP (v2): 56.8%, BigCodeBench: 45.4%.

What are the context window sizes for Command R+ and Gemini Diffusion?

Command R+ supports 128K tokens and Gemini Diffusion supports an unknown number of 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 Gemini Diffusion?

Key differences include licensing (CC BY-NC vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes Command R+ and Gemini Diffusion?

Command R+ is developed by Cohere and Gemini Diffusion is developed by Google.