Command R+ vs DeepSeek R1 Distill Qwen 32B
DeepSeek R1 Distill Qwen 32B leads the LLM Stats Score 13.3 to -0.1. DeepSeek R1 Distill Qwen 32B is 3.2x cheaper per token.
Cohere · DeepSeek · Updated for 2026
Which is better?
DeepSeek R1 Distill Qwen 32B leads the overall LLM Stats Score 13.3 to -0.1, ranking #235 overall.
On price, DeepSeek R1 Distill Qwen 32B is roughly 3.2x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
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 DeepSeek R1 Distill Qwen 32B
- overall performance matters — it scores 13.3 and ranks #235 on LLM Stats
- your work emphasizes reasoning — it leads those capability indexes
- cost matters — it's about 3.2x cheaper per token
- you want the most recent training data — it shipped Jan 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+ · 4 for DeepSeek R1 Distill Qwen 32B
Command R+ and DeepSeek R1 Distill Qwen 32Bdon'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 2.1x more expensive than DeepSeek R1 Distill Qwen 32B ($0.12/1M tokens).
For output processing, Command R+ ($1.00/1M tokens) is 5.6x more expensive than DeepSeek R1 Distill Qwen 32B ($0.18/1M tokens).
In conclusion, Command R+ is more expensive than DeepSeek R1 Distill Qwen 32B.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
Command R+ has 71.2B more parameters than DeepSeek R1 Distill Qwen 32B, making it 217.1% larger.
Context Window
Maximum input and output token capacity
Both models have the same input context window of 128,000 tokens. Both models can generate responses up to 128,000 tokens.
License
Usage and distribution terms
Command R+ is licensed under CC BY-NC, while DeepSeek R1 Distill Qwen 32B uses MIT.
License differences may affect how you can use these models in commercial or open-source projects.
CC BY-NC
Open weights
MIT
Open weights
Release Timeline
When each model was launched
Command R+ was released on 2024-08-30, while DeepSeek R1 Distill Qwen 32B was released on 2025-01-20.
DeepSeek R1 Distill Qwen 32B is 5 months newer than Command R+.
Aug 30, 2024
2.0 years ago
Jan 20, 2025
1.6 years ago
4mo 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. DeepSeek R1 Distill Qwen 32B is available from DeepInfra.
Command R+
DeepSeek R1 Distill Qwen 32B
Outputs Comparison
Judge for yourself.
Run your own prompts against Command R+ and DeepSeek R1 Distill Qwen 32B side-by-side, then vote on the output you prefer.
FAQ
Common questions about Command R+ vs DeepSeek R1 Distill Qwen 32B.