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Command R+ vs DeepSeek VL2 Tiny

Command R+ and DeepSeek VL2 Tiny are closely matched at -0.2 and -4.5 on the LLM Stats Score.

Cohere · DeepSeek · Updated for 2026

Which is better?

Command R+ and DeepSeek VL2 Tiny are closely matched on the overall LLM Stats Score at -0.2 and -4.5.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose Command R+

  • your work emphasizes reasoning — it leads those capability indexes

Choose DeepSeek VL2 Tiny

  • you want the most recent training data — it shipped Dec 2024

At a glance

The differences that matter most.

Command R+
Cohere
DeepSeek VL2 Tiny
DeepSeek
Core performance indexes
LLM Stats Score
-0.2
#315
-4.5
#340
Reasoning
-0.5
#310
-12.4
#349
Cost, coverage & limits
Benchmark wins
—
—
Input price
$0.25 / M
— / M
Output price
$1.00 / M
— / M
Context window
128,000
—

Individual benchmarks

6 reported for Command R+ · 14 for DeepSeek VL2 Tiny

No common benchmarks found

Command R+ and DeepSeek VL2 Tinydon'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

101.0B diff

Command R+ has 101.0B more parameters than DeepSeek VL2 Tiny, making it 3366.7% larger.

Cohere
Command R+
104.0Bparameters
DeepSeek
DeepSeek VL2 Tiny
3.0Bparameters
104.0B
Command R+
3.0B
DeepSeek VL2 Tiny

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
DeepSeek
DeepSeek VL2 Tiny
Input- tokens
Output- tokens
Mon Sep 07 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

DeepSeek VL2 Tiny supports multimodal inputs, whereas Command R+ does not.

DeepSeek VL2 Tiny can handle both text and other forms of data like images, making it suitable for multimodal applications.

Command R+

Text
Images
Audio
Video

DeepSeek VL2 Tiny

Text
Images
Audio
Video

License

Usage and distribution terms

Command R+ is licensed under CC BY-NC, while DeepSeek VL2 Tiny uses deepseek.

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

Command R+

CC BY-NC

Open weights

DeepSeek VL2 Tiny

deepseek

Open weights

Release Timeline

When each model was launched

Command R+ was released on 2024-08-30, while DeepSeek VL2 Tiny was released on 2024-12-13.

DeepSeek VL2 Tiny is 4 months newer than Command R+.

Command R+

Aug 30, 2024

2.0 years ago

DeepSeek VL2 Tiny

Dec 13, 2024

1.7 years ago

3mo 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→

Judge for yourself.

Run your own prompts against Command R+ and DeepSeek VL2 Tiny side-by-side, then vote on the output you prefer.

Command R+
✓ Preferred
DeepSeek VL2 Tiny
Open in Playground

FAQ

Common questions about Command R+ vs DeepSeek VL2 Tiny.

Which is better, Command R+ or DeepSeek VL2 Tiny?

Command R+ and DeepSeek VL2 Tiny are closely matched on the LLM Stats Score at -0.2 and -4.5. Command R+ is made by Cohere and DeepSeek VL2 Tiny is made by DeepSeek. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does Command R+ compare to DeepSeek VL2 Tiny in benchmarks?

Command R+ scores HellaSwag: 88.6%, Winogrande: 85.4%, MMLU: 75.7%, ARC-C: 71.0%, GSM8k: 70.7%. DeepSeek VL2 Tiny scores DocVQA: 88.9%, ChartQA: 81.0%, OCRBench: 80.9%, TextVQA: 80.7%, AI2D: 71.6%.

What are the context window sizes for Command R+ and DeepSeek VL2 Tiny?

Command R+ supports 128K tokens and DeepSeek VL2 Tiny 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 DeepSeek VL2 Tiny?

Key differences include LLM Stats Score (-0.2 vs -4.5), multimodal support (no vs yes), licensing (CC BY-NC vs deepseek). See the full comparison above for benchmark-by-benchmark results.

Who makes Command R+ and DeepSeek VL2 Tiny?

Command R+ is developed by Cohere and DeepSeek VL2 Tiny is developed by DeepSeek.

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