Command R+ vs Llama 3.2 11B Instruct
Command R+ and Llama 3.2 11B Instruct are closely matched at -0.2 and -1.2 on the LLM Stats Score. Llama 3.2 11B Instruct is 8.8x cheaper per token.
Cohere · Meta · Updated for 2026
Which is better?
Command R+ and Llama 3.2 11B Instruct are closely matched on the overall LLM Stats Score at -0.2 and -1.2.
In the 1 individual benchmarks reported for both models, Command R+ wins 1; this is a narrower head-to-head signal than the composite indexes.
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.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose Command R+
- you value its reported benchmark strengths — it wins 1 of 1 exact shared results
Choose Llama 3.2 11B Instruct
- cost matters — it's about 8.8x cheaper per token
- you want the most recent training data — it shipped Sep 2024
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+ · 11 for Llama 3.2 11B Instruct
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.
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 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
Documented input modalities across available providers
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
2.0 years ago
Sep 25, 2024
1.9 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
Judge for yourself.
Run your own prompts against Command R+ and Llama 3.2 11B Instruct side-by-side, then vote on the output you prefer.
FAQ
Common questions about Command R+ vs Llama 3.2 11B Instruct.