Model Comparison
Command R+ vs Llama 3.2 11B InstructWhich is better in 2026?
Command R+ significantly outperforms across most benchmarks. Llama 3.2 11B Instruct is 8.8x cheaper per token.
Verdict: Command R+ vs Llama 3.2 11B Instruct — which is better?
Command R+ (by Cohere) and Llama 3.2 11B Instruct (by Meta) 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 1 benchmarks (MMLU), while Llama 3.2 11B Instruct is better at 0 benchmarks. Command R+ significantly outperforms across most benchmarks.
On price, Llama 3.2 11B Instruct is roughly 8.8x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Choose Command R+ if…
- you want the strongest raw capability — it leads on 1 of 1 shared benchmarks
Choose Llama 3.2 11B Instruct if…
- cost matters — it's about 8.8x cheaper per token
- you want the most recent training data — it shipped Sep 2024
Performance Benchmarks
Comparative analysis across standard metrics
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.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
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
Model Size
Parameter count comparison
Command R+ has 93.4B more parameters than Llama 3.2 11B Instruct, making it 881.1% larger.
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.
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+
Llama 3.2 11B Instruct
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.
CC BY-NC
Open weights
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+.
Aug 30, 2024
1.8 years ago
Sep 25, 2024
1.7 years ago
3w newerKnowledge 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.
—
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.
Command R+
Llama 3.2 11B Instruct
Outputs Comparison
Key Takeaways
Command R+
View detailsCohere
Detailed Comparison
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FAQ
Common questions about Command R+ vs Llama 3.2 11B Instruct.