Command R+ vs Qwen3 VL 32B Thinking
Qwen3 VL 32B Thinking leads the LLM Stats Score 23.5 to -0.2.
Cohere · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
Qwen3 VL 32B Thinking leads the overall LLM Stats Score 23.5 to -0.2, ranking #167 overall.
In the 1 individual benchmarks reported for both models, Qwen3 VL 32B Thinking wins 1; this is a narrower head-to-head signal than the composite indexes.
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 Qwen3 VL 32B Thinking
- overall performance matters — it scores 23.5 and ranks #167 on LLM Stats
- your work emphasizes reasoning — it leads those capability indexes
- you value its reported benchmark strengths — it wins 1 of 1 exact shared results
- you want the most recent training data — it shipped Sep 2025
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
6 reported for Command R+ · 47 for Qwen3 VL 32B Thinking
Command R+ outperforms in 0 benchmarks, while Qwen3 VL 32B Thinking is better at 1 benchmark (MMLU).
Qwen3 VL 32B Thinking significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Model Size
Parameter count comparison
Command R+ has 71.0B more parameters than Qwen3 VL 32B Thinking, making it 215.2% larger.
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).
Input capabilities
Documented input modalities across available providers
Qwen3 VL 32B Thinking supports multimodal inputs, whereas Command R+ does not.
Qwen3 VL 32B Thinking can handle both text and other forms of data like images, making it suitable for multimodal applications.
Command R+
Qwen3 VL 32B Thinking
License
Usage and distribution terms
Command R+ is licensed under CC BY-NC, while Qwen3 VL 32B Thinking uses Apache 2.0.
License differences may affect how you can use these models in commercial or open-source projects.
CC BY-NC
Open weights
Apache 2.0
Open weights
Release Timeline
When each model was launched
Command R+ was released on 2024-08-30, while Qwen3 VL 32B Thinking was released on 2025-09-22.
Qwen3 VL 32B Thinking is 13 months newer than Command R+.
Aug 30, 2024
2.0 years ago
Sep 22, 2025
11 months ago
1.1yr newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Outputs Comparison
Judge for yourself.
Run your own prompts against Command R+ and Qwen3 VL 32B Thinking side-by-side, then vote on the output you prefer.
FAQ
Common questions about Command R+ vs Qwen3 VL 32B Thinking.