Command R+ vs o3
o3 leads the LLM Stats Score 31.3 to -0.1. Command R+ is 8.0x cheaper per token.
Cohere · OpenAI · Updated for 2026
Which is better?
o3 leads the overall LLM Stats Score 31.3 to -0.1, ranking #100 overall.
On price, Command R+ is roughly 8.0x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
o3 also accepts a larger context window (200,000 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+
- cost matters — it's about 8.0x cheaper per token
- you need open weights you can self-host or fine-tune
Choose o3
- overall performance matters — it scores 31.3 and ranks #100 on LLM Stats
- your work emphasizes reasoning — it leads those capability indexes
- you process long inputs — it offers a 200,000 token context window
- you want the most recent training data — it shipped Apr 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+ · 22 for o3
Command R+ and o3don'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 8.0x cheaper than o3 ($2.00/1M tokens).
For output processing, Command R+ ($1.00/1M tokens) is 8.0x cheaper than o3 ($8.00/1M tokens).
In conclusion, o3 is more expensive than Command R+.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
o3 accepts 200,000 input tokens compared to Command R+'s 128,000 tokens. Command R+ can generate longer responses up to 128,000 tokens, while o3 is limited to 100,000 tokens.
Input capabilities
Documented input modalities across available providers
o3 supports multimodal inputs, whereas Command R+ does not.
o3 can handle both text and other forms of data like images, making it suitable for multimodal applications.
Command R+
o3
License
Usage and distribution terms
Command R+ is licensed under CC BY-NC, while o3 uses a proprietary license.
License differences may affect how you can use these models in commercial or open-source projects.
CC BY-NC
Open weights
Proprietary
Closed source
Release Timeline
When each model was launched
Command R+ was released on 2024-08-30, while o3 was released on 2025-04-16.
o3 is 8 months newer than Command R+.
Aug 30, 2024
2.0 years ago
Apr 16, 2025
1.4 years ago
7mo newerKnowledge Cutoff
When training data ends
o3 has a documented knowledge cutoff of 2024-05-31, while Command R+'s cutoff date is not specified.
We can confirm o3's training data extends to 2024-05-31, but cannot make a direct comparison without Command R+'s cutoff date.
—
May 2024
Provider Availability
Command R+ is available from Cohere, Bedrock. o3 is available from OpenAI.
Command R+
o3
Outputs Comparison
Judge for yourself.
Run your own prompts against Command R+ and o3 side-by-side, then vote on the output you prefer.
FAQ
Common questions about Command R+ vs o3.