Command R+ vs Qwen3 VL 4B Instruct
Qwen3 VL 4B Instruct significantly outperforms across most benchmarks. Qwen3 VL 4B Instruct is 1.9x cheaper per token.
Cohere · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
Command R+ outperforms in 0 benchmarks, while Qwen3 VL 4B Instruct is better at 1 benchmark (MMLU). Qwen3 VL 4B Instruct significantly outperforms across most benchmarks.
On price, Qwen3 VL 4B Instruct is roughly 1.9x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Qwen3 VL 4B Instruct also accepts a larger context window (262,144 input tokens), making it the stronger choice for long documents and large codebases.
Based on current benchmark, 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 4B Instruct
- you want the strongest raw capability — it leads on 1 of 1 shared benchmarks
- cost matters — it's about 1.9x cheaper per token
- you process long inputs — it offers a 262,144 token context window
- you want the most recent training data — it shipped Sep 2025
At a glance
The differences that matter most.
Performance Benchmarks
Comparative analysis across standard metrics
Command R+ outperforms in 0 benchmarks, while Qwen3 VL 4B Instruct is better at 1 benchmark (MMLU).
Qwen3 VL 4B Instruct significantly outperforms across most benchmarks.
Arena Performance
Playground indexes and blind preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, Command R+ ($0.25/1M tokens) is 2.5x more expensive than Qwen3 VL 4B Instruct ($0.10/1M tokens).
For output processing, Command R+ ($1.00/1M tokens) is 1.7x more expensive than Qwen3 VL 4B Instruct ($0.60/1M tokens).
In conclusion, Command R+ is more expensive than Qwen3 VL 4B Instruct.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
Command R+ has 100.0B more parameters than Qwen3 VL 4B Instruct, making it 2500.0% larger.
Context Window
Maximum input and output token capacity
Qwen3 VL 4B Instruct accepts 262,144 input tokens compared to Command R+'s 128,000 tokens. Qwen3 VL 4B Instruct can generate longer responses up to 262,144 tokens, while Command R+ is limited to 128,000 tokens.
Input Capabilities
Supported data types and modalities
Qwen3 VL 4B Instruct supports multimodal inputs, whereas Command R+ does not.
Qwen3 VL 4B Instruct can handle both text and other forms of data like images, making it suitable for multimodal applications.
Command R+
Qwen3 VL 4B Instruct
License
Usage and distribution terms
Command R+ is licensed under CC BY-NC, while Qwen3 VL 4B Instruct 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 4B Instruct was released on 2025-09-22.
Qwen3 VL 4B Instruct 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.
Provider Availability
Command R+ is available from Cohere, Bedrock. Qwen3 VL 4B Instruct is available from DeepInfra.
Command R+
Qwen3 VL 4B Instruct
Outputs Comparison
Judge for yourself.
Run your own prompts against Command R+ and Qwen3 VL 4B Instruct side-by-side, then vote on the output you prefer.
FAQ
Common questions about Command R+ vs Qwen3 VL 4B Instruct.