Command R+ vs Phi-4-multimodal-instruct
Command R+ and Phi-4-multimodal-instruct are closely matched at -0.4 and 2.9 on the LLM Stats Score. Phi-4-multimodal-instruct is 7.0x cheaper per token.
Cohere · Microsoft · Updated for 2026
Which is better?
Command R+ and Phi-4-multimodal-instruct are closely matched on the overall LLM Stats Score at -0.4 and 2.9.
On price, Phi-4-multimodal-instruct is roughly 7.0x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose Command R+
- you want predictable pricing at $0.25/M input and $1.00/M output
Choose Phi-4-multimodal-instruct
- cost matters — it's about 7.0x cheaper per token
- you want the most recent training data — it shipped Feb 2025
At a glance
The differences that matter most.
Individual benchmarks
6 reported for Command R+ · 15 for Phi-4-multimodal-instruct
Command R+ and Phi-4-multimodal-instructdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, Command R+ ($0.25/1M tokens) is 5.0x more expensive than Phi-4-multimodal-instruct ($0.05/1M tokens).
For output processing, Command R+ ($1.00/1M tokens) is 10.0x more expensive than Phi-4-multimodal-instruct ($0.10/1M tokens).
In conclusion, Command R+ is more expensive than Phi-4-multimodal-instruct.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
Command R+ has 98.4B more parameters than Phi-4-multimodal-instruct, making it 1757.1% larger.
Context Window
Maximum input and output token capacity
Both models have the same input context window of 128,000 tokens. Both models can generate responses up to 128,000 tokens.
Input capabilities
Documented input modalities across available providers
Phi-4-multimodal-instruct supports multimodal inputs, whereas Command R+ does not.
Phi-4-multimodal-instruct can handle both text and other forms of data like images, making it suitable for multimodal applications.
Command R+
Phi-4-multimodal-instruct
License
Usage and distribution terms
Command R+ is licensed under CC BY-NC, while Phi-4-multimodal-instruct uses MIT.
License differences may affect how you can use these models in commercial or open-source projects.
CC BY-NC
Open weights
MIT
Open weights
Release Timeline
When each model was launched
Command R+ was released on 2024-08-30, while Phi-4-multimodal-instruct was released on 2025-02-01.
Phi-4-multimodal-instruct is 5 months newer than Command R+.
Aug 30, 2024
2.0 years ago
Feb 1, 2025
1.6 years ago
5mo newerKnowledge Cutoff
When training data ends
Phi-4-multimodal-instruct has a documented knowledge cutoff of 2024-06-01, while Command R+'s cutoff date is not specified.
We can confirm Phi-4-multimodal-instruct's training data extends to 2024-06-01, but cannot make a direct comparison without Command R+'s cutoff date.
—
Jun 2024
Provider Availability
Command R+ is available from Cohere, Bedrock. Phi-4-multimodal-instruct is available from DeepInfra.
Command R+
Phi-4-multimodal-instruct
Outputs Comparison
Judge for yourself.
Run your own prompts against Command R+ and Phi-4-multimodal-instruct side-by-side, then vote on the output you prefer.
FAQ
Common questions about Command R+ vs Phi-4-multimodal-instruct.