Model Comparison

Command R+ vs Llama 4 Scout

Llama 4 Scout significantly outperforms across most benchmarks. Llama 4 Scout is 3.2x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

Command R+ outperforms in 0 benchmarks, while Llama 4 Scout is better at 1 benchmark (MMLU).

Llama 4 Scout significantly outperforms across most benchmarks.

Thu Apr 16 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Llama 4 Scout costs less

For input processing, Command R+ ($0.25/1M tokens) is 3.1x more expensive than Llama 4 Scout ($0.08/1M tokens).

For output processing, Command R+ ($1.00/1M tokens) is 3.3x more expensive than Llama 4 Scout ($0.30/1M tokens).

In conclusion, Command R+ is more expensive than Llama 4 Scout.*

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

Lowest available price from all providers
Thu Apr 16 2026 • llm-stats.com
Cohere
Command R+
Input tokens$0.25
Output tokens$1.00
Best providerCohere
Meta
Llama 4 Scout
Input tokens$0.08
Output tokens$0.30
Best providerDeepinfra
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Model Size

Parameter count comparison

5.0B diff

Llama 4 Scout has 5.0B more parameters than Command R+, making it 4.8% larger.

Cohere
Command R+
104.0Bparameters
Meta
Llama 4 Scout
109.0Bparameters
104.0B
Command R+
109.0B
Llama 4 Scout

Context Window

Maximum input and output token capacity

Llama 4 Scout accepts 10,000,000 input tokens compared to Command R+'s 128,000 tokens. Llama 4 Scout can generate longer responses up to 10,000,000 tokens, while Command R+ is limited to 128,000 tokens.

Cohere
Command R+
Input128,000 tokens
Output128,000 tokens
Meta
Llama 4 Scout
Input10,000,000 tokens
Output10,000,000 tokens
Thu Apr 16 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Llama 4 Scout supports multimodal inputs, whereas Command R+ does not.

Llama 4 Scout can handle both text and other forms of data like images, making it suitable for multimodal applications.

Command R+

Text
Images
Audio
Video

Llama 4 Scout

Text
Images
Audio
Video

License

Usage and distribution terms

Command R+ is licensed under CC BY-NC, while Llama 4 Scout uses Llama 4 Community License Agreement.

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

Command R+

CC BY-NC

Open weights

Llama 4 Scout

Llama 4 Community License Agreement

Open weights

Release Timeline

When each model was launched

Command R+ was released on 2024-08-30, while Llama 4 Scout was released on 2025-04-05.

Llama 4 Scout is 7 months newer than Command R+.

Command R+

Aug 30, 2024

1.6 years ago

Llama 4 Scout

Apr 5, 2025

1.0 years ago

7mo 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 4 Scout is available from DeepInfra, Lambda, Novita, Groq, Fireworks, Together.

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 4 Scout

deepinfra logo
Deepinfra
Input Price:Input: $0.08/1MOutput Price:Output: $0.30/1M
lambda logo
Lambda
Input Price:Input: $0.08/1MOutput Price:Output: $0.30/1M
novita logo
Novita
Input Price:Input: $0.10/1MOutput Price:Output: $0.50/1M
groq logo
Groq
Input Price:Input: $0.11/1MOutput Price:Output: $0.34/1M
fireworks logo
Fireworks
Input Price:Input: $0.15/1MOutput Price:Output: $0.60/1M
together logo
Together
Input Price:Input: $0.18/1MOutput Price:Output: $0.59/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

Cohere
Meta
Larger context window (10,000,000 tokens)
Supports multimodal inputs
Less expensive input tokens
Less expensive output tokens
Higher MMLU score (79.6% vs 75.7%)

Detailed Comparison

AI Model Comparison Table
Feature
Cohere
Command R+
Meta
Llama 4 Scout

FAQ

Common questions about Command R+ vs Llama 4 Scout

Llama 4 Scout significantly outperforms across most benchmarks. Command R+ is made by Cohere and Llama 4 Scout 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 4 Scout scores DocVQA: 94.4%, MGSM: 90.6%, ChartQA: 88.8%, MMLU: 79.6%, MMLU-Pro: 74.3%.
Llama 4 Scout is 3.1x cheaper for input tokens. Command R+ costs $0.25/M input and $1.00/M output via cohere. Llama 4 Scout costs $0.08/M input and $0.30/M output via deepinfra.
Command R+ supports 128K tokens and Llama 4 Scout supports 10.0M tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include context window (128K vs 10.0M), input pricing ($0.25 vs $0.08/M), multimodal support (no vs yes), licensing (CC BY-NC vs Llama 4 Community License Agreement). See the full comparison above for benchmark-by-benchmark results.
Command R+ is developed by Cohere and Llama 4 Scout is developed by Meta.