Model Comparison

Command R+ vs Phi-3.5-vision-instruct

Comparing Command R+ and Phi-3.5-vision-instruct across benchmarks, pricing, and capabilities.

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Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

Command R+ and Phi-3.5-vision-instruct don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Model Size

Parameter count comparison

99.8B diff

Command R+ has 99.8B more parameters than Phi-3.5-vision-instruct, making it 2376.2% larger.

Cohere
Command R+
104.0Bparameters
Microsoft
Phi-3.5-vision-instruct
4.2Bparameters
104.0B
Command R+
4.2B
Phi-3.5-vision-instruct

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
Microsoft
Phi-3.5-vision-instruct
Input- tokens
Output- tokens
Fri Jun 05 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Phi-3.5-vision-instruct supports multimodal inputs, whereas Command R+ does not.

Phi-3.5-vision-instruct can handle both text and other forms of data like images, making it suitable for multimodal applications.

Command R+

Text
Images
Audio
Video

Phi-3.5-vision-instruct

Text
Images
Audio
Video

License

Usage and distribution terms

Command R+ is licensed under CC BY-NC, while Phi-3.5-vision-instruct uses MIT.

License differences may affect how you can use these models in commercial or open-source projects.

Command R+

CC BY-NC

Open weights

Phi-3.5-vision-instruct

MIT

Open weights

Release Timeline

When each model was launched

Command R+ was released on 2024-08-30, while Phi-3.5-vision-instruct was released on 2024-08-23.

Command R+ is 0 month newer than Phi-3.5-vision-instruct.

Command R+

Aug 30, 2024

1.8 years ago

1w newer
Phi-3.5-vision-instruct

Aug 23, 2024

1.8 years ago

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

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Key Takeaways

Cohere
Larger context window (128,000 tokens)
Microsoft
Supports multimodal inputs

Detailed Comparison

AI Model Comparison Table
Feature
Cohere
Command R+
Microsoft
Phi-3.5-vision-instruct

FAQ

Common questions about Command R+ vs Phi-3.5-vision-instruct.

Which is better, Command R+ or Phi-3.5-vision-instruct?

Command R+ (Cohere) and Phi-3.5-vision-instruct (Microsoft) 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 Phi-3.5-vision-instruct in benchmarks?

Command R+ scores HellaSwag: 88.6%, Winogrande: 85.4%, MMLU: 75.7%, ARC-C: 71.0%, GSM8k: 70.7%. Phi-3.5-vision-instruct scores ScienceQA: 91.3%, POPE: 86.1%, MMBench: 81.9%, ChartQA: 81.8%, AI2D: 78.1%.

What are the context window sizes for Command R+ and Phi-3.5-vision-instruct?

Command R+ supports 128K tokens and Phi-3.5-vision-instruct 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 Phi-3.5-vision-instruct?

Key differences include multimodal support (no vs yes), licensing (CC BY-NC vs MIT). See the full comparison above for benchmark-by-benchmark results.

Who makes Command R+ and Phi-3.5-vision-instruct?

Command R+ is developed by Cohere and Phi-3.5-vision-instruct is developed by Microsoft.