Command R+ vs DeepSeek VL2
Command R+ and DeepSeek VL2 are closely matched at -0.2 and 3.1 on the LLM Stats Score.
Cohere · DeepSeek · Updated for 2026
Which is better?
Command R+ and DeepSeek VL2 are closely matched on the overall LLM Stats Score at -0.2 and 3.1.
DeepSeek VL2 also accepts a larger context window (129,280 input tokens), making it the stronger choice for long documents and large codebases.
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 DeepSeek VL2
- you process long inputs — it offers a 129,280 token context window
- you want the most recent training data — it shipped Dec 2024
At a glance
The differences that matter most.
Individual benchmarks
6 reported for Command R+ · 14 for DeepSeek VL2
Command R+ and DeepSeek VL2don'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
Model Size
Parameter count comparison
Command R+ has 77.0B more parameters than DeepSeek VL2, making it 285.2% larger.
Context Window
Maximum input and output token capacity
DeepSeek VL2 accepts 129,280 input tokens compared to Command R+'s 128,000 tokens. DeepSeek VL2 can generate longer responses up to 129,280 tokens, while Command R+ is limited to 128,000 tokens.
Input capabilities
Documented input modalities across available providers
DeepSeek VL2 supports multimodal inputs, whereas Command R+ does not.
DeepSeek VL2 can handle both text and other forms of data like images, making it suitable for multimodal applications.
Command R+
DeepSeek VL2
License
Usage and distribution terms
Command R+ is licensed under CC BY-NC, while DeepSeek VL2 uses deepseek.
License differences may affect how you can use these models in commercial or open-source projects.
CC BY-NC
Open weights
deepseek
Open weights
Release Timeline
When each model was launched
Command R+ was released on 2024-08-30, while DeepSeek VL2 was released on 2024-12-13.
DeepSeek VL2 is 4 months newer than Command R+.
Aug 30, 2024
2.0 years ago
Dec 13, 2024
1.7 years ago
3mo newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
Command R+ is available from Cohere, Bedrock. DeepSeek VL2 is available from Replicate.
Command R+
DeepSeek VL2
Outputs Comparison
Judge for yourself.
Run your own prompts against Command R+ and DeepSeek VL2 side-by-side, then vote on the output you prefer.
FAQ
Common questions about Command R+ vs DeepSeek VL2.