Command R+ vs DeepSeek-V3 0324
DeepSeek-V3 0324 leads the LLM Stats Score 13.7 to -0.1. Command R+ is 1.1x cheaper per token.
Cohere · DeepSeek · Updated for 2026
Which is better?
DeepSeek-V3 0324 leads the overall LLM Stats Score 13.7 to -0.1, ranking #229 overall.
On price, Command R+ is roughly 1.1x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
DeepSeek-V3 0324 also accepts a larger context window (163,840 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+
- cost matters — it's about 1.1x cheaper per token
Choose DeepSeek-V3 0324
- overall performance matters — it scores 13.7 and ranks #229 on LLM Stats
- your work emphasizes reasoning — it leads those capability indexes
- you process long inputs — it offers a 163,840 token context window
- you want the most recent training data — it shipped Mar 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+ · 5 for DeepSeek-V3 0324
Command R+ and DeepSeek-V3 0324don'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 1.1x cheaper than DeepSeek-V3 0324 ($0.28/1M tokens).
For output processing, Command R+ ($1.00/1M tokens) is 1.1x cheaper than DeepSeek-V3 0324 ($1.14/1M tokens).
In conclusion, DeepSeek-V3 0324 is more expensive than Command R+.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
DeepSeek-V3 0324 has 567.0B more parameters than Command R+, making it 545.2% larger.
Context Window
Maximum input and output token capacity
DeepSeek-V3 0324 accepts 163,840 input tokens compared to Command R+'s 128,000 tokens. DeepSeek-V3 0324 can generate longer responses up to 163,840 tokens, while Command R+ is limited to 128,000 tokens.
License
Usage and distribution terms
Command R+ is licensed under CC BY-NC, while DeepSeek-V3 0324 uses MIT + Model License (Commercial use allowed).
License differences may affect how you can use these models in commercial or open-source projects.
CC BY-NC
Open weights
MIT + Model License (Commercial use allowed)
Open weights
Release Timeline
When each model was launched
Command R+ was released on 2024-08-30, while DeepSeek-V3 0324 was released on 2025-03-25.
DeepSeek-V3 0324 is 7 months newer than Command R+.
Aug 30, 2024
2.0 years ago
Mar 25, 2025
1.4 years ago
6mo 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-V3 0324 is available from Novita.
Command R+
DeepSeek-V3 0324
Outputs Comparison
Judge for yourself.
Run your own prompts against Command R+ and DeepSeek-V3 0324 side-by-side, then vote on the output you prefer.
FAQ
Common questions about Command R+ vs DeepSeek-V3 0324.