Command R+ vs Llama 3.2 11B Instruct Comparison

Comparing Command R+ and Llama 3.2 11B Instruct across benchmarks, pricing, and capabilities.

Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

Command R+ outperforms in 1 benchmarks (MMLU), while Llama 3.2 11B Instruct is better at 0 benchmarks.

Command R+ significantly outperforms across most benchmarks.

Sat Mar 21 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Llama 3.2 11B Instruct costs less

For input processing, Command R+ ($0.25/1M tokens) is 5.0x more expensive than Llama 3.2 11B Instruct ($0.05/1M tokens).

For output processing, Command R+ ($1.00/1M tokens) is 20.0x more expensive than Llama 3.2 11B Instruct ($0.05/1M tokens).

In conclusion, Command R+ is more expensive than Llama 3.2 11B Instruct.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Sat Mar 21 2026 • llm-stats.com
Cohere
Command R+
Input tokens$0.25
Output tokens$1.00
Best providerCohere
Meta
Llama 3.2 11B Instruct
Input tokens$0.05
Output tokens$0.05
Best providerDeepinfra
Notice missing or incorrect data?Start an Issue

Model Size

Parameter count comparison

93.4B diff

Command R+ has 93.4B more parameters than Llama 3.2 11B Instruct, making it 881.1% larger.

Cohere
Command R+
104.0Bparameters
Meta
Llama 3.2 11B Instruct
10.6Bparameters
104.0B
Command R+
10.6B
Llama 3.2 11B Instruct

Context Window

Maximum input and output token capacity

Both models have the same input context window of 128,000 tokens. Both models can generate responses up to 128,000 tokens.

Cohere
Command R+
Input128,000 tokens
Output128,000 tokens
Meta
Llama 3.2 11B Instruct
Input128,000 tokens
Output128,000 tokens
Sat Mar 21 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Llama 3.2 11B Instruct supports multimodal inputs, whereas Command R+ does not.

Llama 3.2 11B Instruct can handle both text and other forms of data like images, making it suitable for multimodal applications.

Command R+

Text
Images
Audio
Video

Llama 3.2 11B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

Command R+ is licensed under CC BY-NC, while Llama 3.2 11B Instruct uses Llama 3.2 Community License.

License differences may affect how you can use these models in commercial or open-source projects.

Command R+

CC BY-NC

Open weights

Llama 3.2 11B Instruct

Llama 3.2 Community License

Open weights

Release Timeline

When each model was launched

Command R+ was released on 2024-08-30, while Llama 3.2 11B Instruct was released on 2024-09-25.

Llama 3.2 11B Instruct is 1 month newer than Command R+.

Command R+

Aug 30, 2024

1.6 years ago

Llama 3.2 11B Instruct

Sep 25, 2024

1.5 years ago

3w newer

Knowledge Cutoff

When training data ends

Llama 3.2 11B Instruct has a documented knowledge cutoff of 2023-12-31, while Command R+'s cutoff date is not specified.

We can confirm Llama 3.2 11B Instruct's training data extends to 2023-12-31, but cannot make a direct comparison without Command R+'s cutoff date.

Command R+

Llama 3.2 11B Instruct

Dec 2023

Provider Availability

Command R+ is available from Cohere, Bedrock. Llama 3.2 11B Instruct is available from DeepInfra, Sambanova, Bedrock, Groq, Together, Fireworks. The availability of providers can affect quality of the model and reliability.

Command R+

cohere logo
Cohere
Input Price:Input: $0.25/1MOutput Price:Output: $1.00/1M
bedrock logo
AWS Bedrock
Input Price:Input: $3.00/1MOutput Price:Output: $15.00/1M

Llama 3.2 11B Instruct

deepinfra logo
Deepinfra
Input Price:Input: $0.05/1MOutput Price:Output: $0.05/1M
sambanova logo
Sambanova
Input Price:Input: $0.15/1MOutput Price:Output: $0.30/1M
bedrock logo
AWS Bedrock
Input Price:Input: $0.16/1MOutput Price:Output: $0.16/1M
groq logo
Groq
Input Price:Input: $0.18/1MOutput Price:Output: $0.18/1M
together logo
Together
Input Price:Input: $0.18/1MOutput Price:Output: $0.18/1M
fireworks logo
Fireworks
Input Price:Input: $0.20/1MOutput Price:Output: $0.20/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Key Takeaways

Higher MMLU score (75.7% vs 73.0%)
Supports multimodal inputs
Less expensive input tokens
Less expensive output tokens

Detailed Comparison

AI Model Comparison Table
Feature
Cohere
Command R+
Meta
Llama 3.2 11B Instruct