Model Comparison

Command R+ vs Llama 3.2 90B Instruct

Llama 3.2 90B Instruct significantly outperforms across most benchmarks. Llama 3.2 90B Instruct is 1.2x cheaper per token.

Want to compare interactively?Try the playground

Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

Command R+ outperforms in 0 benchmarks, while Llama 3.2 90B Instruct is better at 1 benchmark (MMLU).

Llama 3.2 90B Instruct significantly outperforms across most benchmarks.

Mon Apr 06 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Llama 3.2 90B Instruct costs less

For input processing, Command R+ ($0.25/1M tokens) is 1.4x cheaper than Llama 3.2 90B Instruct ($0.35/1M tokens).

For output processing, Command R+ ($1.00/1M tokens) is 2.5x more expensive than Llama 3.2 90B Instruct ($0.40/1M tokens).

In conclusion, Command R+ is more expensive than Llama 3.2 90B Instruct.*

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

Lowest available price from all providers
Mon Apr 06 2026 • llm-stats.com
Cohere
Command R+
Input tokens$0.25
Output tokens$1.00
Best providerCohere
Meta
Llama 3.2 90B Instruct
Input tokens$0.35
Output tokens$0.40
Best providerDeepinfra
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

14.0B diff

Command R+ has 14.0B more parameters than Llama 3.2 90B Instruct, making it 15.6% larger.

Cohere
Command R+
104.0Bparameters
Meta
Llama 3.2 90B Instruct
90.0Bparameters
104.0B
Command R+
90.0B
Llama 3.2 90B 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 90B Instruct
Input128,000 tokens
Output128,000 tokens
Mon Apr 06 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Llama 3.2 90B Instruct supports multimodal inputs, whereas Command R+ does not.

Llama 3.2 90B 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 90B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

Command R+ is licensed under CC BY-NC, while Llama 3.2 90B Instruct uses Llama 3.2.

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 90B Instruct

Llama 3.2

Open weights

Release Timeline

When each model was launched

Command R+ was released on 2024-08-30, while Llama 3.2 90B Instruct was released on 2024-09-25.

Llama 3.2 90B Instruct is 1 month newer than Command R+.

Command R+

Aug 30, 2024

1.6 years ago

Llama 3.2 90B Instruct

Sep 25, 2024

1.5 years ago

3w newer

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Provider Availability

Command R+ is available from Cohere, Bedrock. Llama 3.2 90B Instruct is available from DeepInfra, Bedrock, Fireworks, Together, Hyperbolic.

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 90B Instruct

deepinfra logo
Deepinfra
Input Price:Input: $0.35/1MOutput Price:Output: $0.40/1M
bedrock logo
AWS Bedrock
Input Price:Input: $0.72/1MOutput Price:Output: $0.72/1M
fireworks logo
Fireworks
Input Price:Input: $0.89/1MOutput Price:Output: $0.89/1M
together logo
Together
Input Price:Input: $1.20/1MOutput Price:Output: $1.20/1M
hyperbolic logo
Hyperbolic
Input Price:Input: $2.00/1MOutput Price:Output: $2.00/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Cohere
Less expensive input tokens
Meta
Supports multimodal inputs
Less expensive output tokens
Higher MMLU score (86.0% vs 75.7%)

Detailed Comparison

AI Model Comparison Table
Feature
Cohere
Command R+
Meta
Llama 3.2 90B Instruct

FAQ

Common questions about Command R+ vs Llama 3.2 90B Instruct

Llama 3.2 90B Instruct significantly outperforms across most benchmarks. Command R+ is made by Cohere and Llama 3.2 90B Instruct is made by Meta. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
Command R+ scores HellaSwag: 88.6%, Winogrande: 85.4%, MMLU: 75.7%, ARC-C: 71.0%, GSM8k: 70.7%. Llama 3.2 90B Instruct scores AI2D: 92.3%, DocVQA: 90.1%, MGSM: 86.9%, MMLU: 86.0%, ChartQA: 85.5%.
Command R+ is 1.4x cheaper for input tokens. Command R+ costs $0.25/M input and $1.00/M output via cohere. Llama 3.2 90B Instruct costs $0.35/M input and $0.40/M output via deepinfra.
Command R+ supports 128K tokens and Llama 3.2 90B Instruct supports 128K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include input pricing ($0.25 vs $0.35/M), multimodal support (no vs yes), licensing (CC BY-NC vs Llama 3.2). See the full comparison above for benchmark-by-benchmark results.
Command R+ is developed by Cohere and Llama 3.2 90B Instruct is developed by Meta.