Command R+ vs Grok-2
Grok-2 leads the LLM Stats Score 11.8 to 0.2. Command R+ is 9.1x cheaper per token.
Cohere · xAI · Updated for 2026
Which is better?
Grok-2 leads the overall LLM Stats Score 11.8 to 0.2, ranking #237 overall.
In the 1 individual benchmarks reported for both models, Grok-2 wins 1; this is a narrower head-to-head signal than the composite indexes.
On price, Command R+ is roughly 9.1x 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+
- cost matters — it's about 9.1x 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 Grok-2
- overall performance matters — it scores 11.8 and ranks #237 on LLM Stats
- your work emphasizes reasoning — it leads those capability indexes
- you value its reported benchmark strengths — it wins 1 of 1 exact shared results
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+ · 8 for Grok-2
Command R+ outperforms in 0 benchmarks, while Grok-2 is better at 1 benchmark (MMLU).
Grok-2 significantly outperforms across most benchmarks.
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 Grok-2 ($2.00/1M tokens).
For output processing, Command R+ ($1.00/1M tokens) is 10.0x cheaper than Grok-2 ($10.00/1M tokens).
In conclusion, Grok-2 is more expensive than Command R+.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Both models have the same input context window of 128,000 tokens. Command R+ can generate longer responses up to 128,000 tokens, while Grok-2 is limited to 8,000 tokens.
Input capabilities
Documented input modalities across available providers
Grok-2 supports multimodal inputs, whereas Command R+ does not.
Grok-2 can handle both text and other forms of data like images, making it suitable for multimodal applications.
Command R+
Grok-2
License
Usage and distribution terms
Command R+ is licensed under CC BY-NC, while Grok-2 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 Grok-2 was released on 2024-08-13.
Command R+ is 1 month newer than Grok-2.
Aug 30, 2024
2.0 years ago
2w newerAug 13, 2024
2.0 years ago
Knowledge 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. Grok-2 is available from xAI.
Command R+
Grok-2
Outputs Comparison
Judge for yourself.
Run your own prompts against Command R+ and Grok-2 side-by-side, then vote on the output you prefer.
FAQ
Common questions about Command R+ vs Grok-2.