Model Comparison
Command R+ vs Gemini 1.5 ProWhich is better in 2026?
Gemini 1.5 Pro significantly outperforms across most benchmarks. Command R+ is 10.0x cheaper per token.
Verdict: Command R+ vs Gemini 1.5 Pro — which is better?
Command R+ (by Cohere) and Gemini 1.5 Pro (by Google) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.
Command R+ outperforms in 0 benchmarks, while Gemini 1.5 Pro is better at 3 benchmarks (GSM8k, HellaSwag, MMLU). Gemini 1.5 Pro significantly outperforms across most benchmarks.
On price, Command R+ is roughly 10.0x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Gemini 1.5 Pro also accepts a larger context window (2,097,152 input tokens), making it the stronger choice for long documents and large codebases.
Choose Command R+ if…
- cost matters — it's about 10.0x cheaper per token
- you want the most recent training data — it shipped Aug 2024
- you need open weights you can self-host or fine-tune
Choose Gemini 1.5 Pro if…
- you want the strongest raw capability — it leads on 3 of 3 shared benchmarks
- you process long inputs — it offers a 2,097,152 token context window
Performance Benchmarks
Comparative analysis across standard metrics
Command R+ outperforms in 0 benchmarks, while Gemini 1.5 Pro is better at 3 benchmarks (GSM8k, HellaSwag, MMLU).
Gemini 1.5 Pro significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, Command R+ ($0.25/1M tokens) is 10.0x cheaper than Gemini 1.5 Pro ($2.50/1M tokens).
For output processing, Command R+ ($1.00/1M tokens) is 10.0x cheaper than Gemini 1.5 Pro ($10.00/1M tokens).
In conclusion, Gemini 1.5 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 1.5 Pro accepts 2,097,152 input tokens compared to Command R+'s 128,000 tokens. Command R+ can generate longer responses up to 128,000 tokens, while Gemini 1.5 Pro is limited to 8,192 tokens.
Input Capabilities
Supported data types and modalities
Gemini 1.5 Pro supports multimodal inputs, whereas Command R+ does not.
Gemini 1.5 Pro can handle both text and other forms of data like images, making it suitable for multimodal applications.
Command R+
Gemini 1.5 Pro
License
Usage and distribution terms
Command R+ is licensed under CC BY-NC, while Gemini 1.5 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 1.5 Pro was released on 2024-05-01.
Command R+ is 4 months newer than Gemini 1.5 Pro.
Aug 30, 2024
1.8 years ago
4mo newerMay 1, 2024
2.1 years ago
Knowledge Cutoff
When training data ends
Gemini 1.5 Pro has a documented knowledge cutoff of 2023-11-01, while Command R+'s cutoff date is not specified.
We can confirm Gemini 1.5 Pro's training data extends to 2023-11-01, but cannot make a direct comparison without Command R+'s cutoff date.
—
Nov 2023
Provider Availability
Command R+ is available from Cohere, Bedrock. Gemini 1.5 Pro is available from Google.
Command R+
Gemini 1.5 Pro
Outputs Comparison
Key Takeaways
Command R+
View detailsCohere
Detailed Comparison
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FAQ
Common questions about Command R+ vs Gemini 1.5 Pro.