Command R+ vs QwQ-32B-Preview
QwQ-32B-Preview leads the LLM Stats Score 9.3 to -0.1. QwQ-32B-Preview is 2.7x cheaper per token.
Cohere · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
QwQ-32B-Preview leads the overall LLM Stats Score 9.3 to -0.1, ranking #255 overall.
On price, QwQ-32B-Preview is roughly 2.7x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Command R+ also accepts a larger context window (128,000 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 process long inputs — it offers a 128,000 token context window
Choose QwQ-32B-Preview
- overall performance matters — it scores 9.3 and ranks #255 on LLM Stats
- your work emphasizes reasoning — it leads those capability indexes
- cost matters — it's about 2.7x cheaper per token
- you want the most recent training data — it shipped Nov 2024
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+ · 4 for QwQ-32B-Preview
Command R+ and QwQ-32B-Previewdon'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
Pricing Analysis
Price comparison per million tokens
For input processing, Command R+ ($0.25/1M tokens) is 1.7x more expensive than QwQ-32B-Preview ($0.15/1M tokens).
For output processing, Command R+ ($1.00/1M tokens) is 5.0x more expensive than QwQ-32B-Preview ($0.20/1M tokens).
In conclusion, Command R+ is more expensive than QwQ-32B-Preview.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
Command R+ has 71.5B more parameters than QwQ-32B-Preview, making it 220.0% larger.
Context Window
Maximum input and output token capacity
Command R+ accepts 128,000 input tokens compared to QwQ-32B-Preview's 32,768 tokens. Command R+ can generate longer responses up to 128,000 tokens, while QwQ-32B-Preview is limited to 32,768 tokens.
License
Usage and distribution terms
Command R+ is licensed under CC BY-NC, while QwQ-32B-Preview 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 QwQ-32B-Preview was released on 2024-11-28.
QwQ-32B-Preview is 3 months newer than Command R+.
Aug 30, 2024
2.0 years ago
Nov 28, 2024
1.8 years ago
3mo newerKnowledge Cutoff
When training data ends
QwQ-32B-Preview has a documented knowledge cutoff of 2024-11-28, while Command R+'s cutoff date is not specified.
We can confirm QwQ-32B-Preview's training data extends to 2024-11-28, but cannot make a direct comparison without Command R+'s cutoff date.
—
Nov 2024
Provider Availability
Command R+ is available from Cohere, Bedrock. QwQ-32B-Preview is available from DeepInfra, Hyperbolic, Fireworks, Together.
Command R+
QwQ-32B-Preview
Outputs Comparison
Judge for yourself.
Run your own prompts against Command R+ and QwQ-32B-Preview side-by-side, then vote on the output you prefer.
FAQ
Common questions about Command R+ vs QwQ-32B-Preview.