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Command R+ vs Qwen2.5 VL 7B Instruct

Command R+ and Qwen2.5 VL 7B Instruct are closely matched at -0.5 and 6.5 on the LLM Stats Score.

Cohere · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

Command R+ and Qwen2.5 VL 7B Instruct are closely matched on the overall LLM Stats Score at -0.5 and 6.5.

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 Qwen2.5 VL 7B Instruct

  • you want the most recent training data — it shipped Jan 2025

At a glance

The differences that matter most.

Core performance indexes
-0.5
#327
6.5
#291
-0.8
#323
3.0
#301
Cost, coverage & limits
Benchmark wins
Input price
$0.25 / M
— / M
Output price
$1.00 / M
— / M
Context window
128,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
Command R+
Qwen2.5 VL 7B Instruct
-2.2#308
3.2#288
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

6 reported for Command R+ · 32 for Qwen2.5 VL 7B Instruct

No common benchmarks found

Command R+ and Qwen2.5 VL 7B 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

Model Size

Parameter count comparison

95.7B diff

Command R+ has 95.7B more parameters than Qwen2.5 VL 7B Instruct, making it 1154.5% larger.

Cohere
Command R+
104.0Bparameters
Alibaba Cloud / Qwen Team
Qwen2.5 VL 7B Instruct
8.3Bparameters
104.0B
Command R+
8.3B
Qwen2.5 VL 7B 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
Alibaba Cloud / Qwen Team
Qwen2.5 VL 7B Instruct
Input- tokens
Output- tokens
Tue Sep 15 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Qwen2.5 VL 7B Instruct supports multimodal inputs, whereas Command R+ does not.

Qwen2.5 VL 7B Instruct can handle both text and other forms of data like images, making it suitable for multimodal applications.

Command R+

Text
Images
Audio
Video

Qwen2.5 VL 7B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

Command R+ is licensed under CC BY-NC, while Qwen2.5 VL 7B Instruct uses Apache 2.0.

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

Command R+

CC BY-NC

Open weights

Qwen2.5 VL 7B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

Command R+ was released on 2024-08-30, while Qwen2.5 VL 7B Instruct was released on 2025-01-26.

Qwen2.5 VL 7B Instruct is 5 months newer than Command R+.

Command R+

Aug 30, 2024

2.0 years ago

Qwen2.5 VL 7B Instruct

Jan 26, 2025

1.6 years ago

4mo 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 Qwen2.5 VL 7B Instruct side-by-side, then vote on the output you prefer.

Command R+
✓ Preferred
Qwen2.5 VL 7B Instruct
Open in Playground

FAQ

Common questions about Command R+ vs Qwen2.5 VL 7B Instruct.

Which is better, Command R+ or Qwen2.5 VL 7B Instruct?

Command R+ and Qwen2.5 VL 7B Instruct are closely matched on the LLM Stats Score at -0.5 and 6.5. Command R+ is made by Cohere and Qwen2.5 VL 7B Instruct is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does Command R+ compare to Qwen2.5 VL 7B Instruct in benchmarks?

Command R+ scores HellaSwag: 88.6%, Winogrande: 85.4%, MMLU: 75.7%, ARC-C: 71.0%, GSM8k: 70.7%. Qwen2.5 VL 7B Instruct scores DocVQA: 95.7%, Android Control Low_EM: 91.4%, MobileMiniWob++_SR: 91.4%, ChartQA: 87.3%, OCRBench: 86.4%.

What are the context window sizes for Command R+ and Qwen2.5 VL 7B Instruct?

Command R+ supports 128K tokens and Qwen2.5 VL 7B 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 Qwen2.5 VL 7B Instruct?

Key differences include LLM Stats Score (-0.5 vs 6.5), multimodal support (no vs yes), licensing (CC BY-NC vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Command R+ and Qwen2.5 VL 7B Instruct?

Command R+ is developed by Cohere and Qwen2.5 VL 7B Instruct is developed by Alibaba Cloud / Qwen Team.