Command R+ vs Gemini 2.5 Pro
Gemini 2.5 Pro leads the LLM Stats Score 27.8 to -0.2. Command R+ is 7.9x cheaper per token.
Cohere · Google · Updated for 2026
Which is better?
Gemini 2.5 Pro leads the overall LLM Stats Score 27.8 to -0.2, ranking #131 overall.
On price, Command R+ is roughly 7.9x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Gemini 2.5 Pro also accepts a larger context window (1,048,576 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 7.9x cheaper per token
- you need open weights you can self-host or fine-tune
Choose Gemini 2.5 Pro
- overall performance matters — it scores 27.8 and ranks #131 on LLM Stats
- your work emphasizes reasoning — it leads those capability indexes
- you process long inputs — it offers a 1,048,576 token context window
- you want the most recent training data — it shipped May 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+ · 16 for Gemini 2.5 Pro
Command R+ and Gemini 2.5 Prodon'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 5.0x cheaper than Gemini 2.5 Pro ($1.25/1M tokens).
For output processing, Command R+ ($1.00/1M tokens) is 10.0x cheaper than Gemini 2.5 Pro ($10.00/1M tokens).
In conclusion, Gemini 2.5 Pro is more expensive than Command R+.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Gemini 2.5 Pro accepts 1,048,576 input tokens compared to Command R+'s 128,000 tokens. Command R+ can generate longer responses up to 128,000 tokens, while Gemini 2.5 Pro is limited to 65,536 tokens.
Input capabilities
Documented input modalities across available providers
Gemini 2.5 Pro supports multimodal inputs, whereas Command R+ does not.
Gemini 2.5 Pro can handle both text and other forms of data like images, making it suitable for multimodal applications.
Command R+
Gemini 2.5 Pro
License
Usage and distribution terms
Command R+ is licensed under CC BY-NC, while Gemini 2.5 Pro 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 Gemini 2.5 Pro was released on 2025-05-20.
Gemini 2.5 Pro is 9 months newer than Command R+.
Aug 30, 2024
2.0 years ago
May 20, 2025
1.3 years ago
8mo newerKnowledge Cutoff
When training data ends
Gemini 2.5 Pro has a documented knowledge cutoff of 2025-01-31, while Command R+'s cutoff date is not specified.
We can confirm Gemini 2.5 Pro's training data extends to 2025-01-31, but cannot make a direct comparison without Command R+'s cutoff date.
—
Jan 2025
Provider Availability
Command R+ is available from Cohere, Bedrock. Gemini 2.5 Pro is available from Google.
Command R+
Gemini 2.5 Pro
Outputs Comparison
Judge for yourself.
Run your own prompts against Command R+ and Gemini 2.5 Pro side-by-side, then vote on the output you prefer.
FAQ
Common questions about Command R+ vs Gemini 2.5 Pro.