Model Comparison

Command R+ vs Llama 4 Maverick

Llama 4 Maverick significantly outperforms across most benchmarks. Llama 4 Maverick is 1.6x 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 Maverick is better at 1 benchmark (MMLU).

Llama 4 Maverick significantly outperforms across most benchmarks.

Sat May 02 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Llama 4 Maverick costs less

For input processing, Command R+ ($0.25/1M tokens) is 1.5x more expensive than Llama 4 Maverick ($0.17/1M tokens).

For output processing, Command R+ ($1.00/1M tokens) is 1.7x more expensive than Llama 4 Maverick ($0.60/1M tokens).

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

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

Lowest available price from all providers
Sat May 02 2026 • llm-stats.com
Cohere
Command R+
Input tokens$0.25
Output tokens$1.00
Best providerCohere
Meta
Llama 4 Maverick
Input tokens$0.17
Output tokens$0.60
Best providerDeepinfra
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

296.0B diff

Llama 4 Maverick has 296.0B more parameters than Command R+, making it 284.6% larger.

Cohere
Command R+
104.0Bparameters
Meta
Llama 4 Maverick
400.0Bparameters
104.0B
Command R+
400.0B
Llama 4 Maverick

Context Window

Maximum input and output token capacity

Llama 4 Maverick accepts 1,000,000 input tokens compared to Command R+'s 128,000 tokens. Llama 4 Maverick can generate longer responses up to 1,000,000 tokens, while Command R+ is limited to 128,000 tokens.

Cohere
Command R+
Input128,000 tokens
Output128,000 tokens
Meta
Llama 4 Maverick
Input1,000,000 tokens
Output1,000,000 tokens
Sat May 02 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

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

Llama 4 Maverick 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 Maverick

Text
Images
Audio
Video

License

Usage and distribution terms

Command R+ is licensed under CC BY-NC, while Llama 4 Maverick 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 Maverick

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 Maverick was released on 2025-04-05.

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

Command R+

Aug 30, 2024

1.7 years ago

Llama 4 Maverick

Apr 5, 2025

1.1 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 Maverick is available from DeepInfra, Novita, Lambda, Groq, Fireworks, Together, Sambanova.

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 Maverick

deepinfra logo
Deepinfra
Input Price:Input: $0.17/1MOutput Price:Output: $0.60/1M
novita logo
Novita
Input Price:Input: $0.17/1MOutput Price:Output: $0.85/1M
lambda logo
Lambda
Input Price:Input: $0.18/1MOutput Price:Output: $0.60/1M
groq logo
Groq
Input Price:Input: $0.20/1MOutput Price:Output: $0.60/1M
fireworks logo
Fireworks
Input Price:Input: $0.22/1MOutput Price:Output: $0.88/1M
together logo
Together
Input Price:Input: $0.27/1MOutput Price:Output: $0.85/1M
sambanova logo
Sambanova
Input Price:Input: $0.63/1MOutput Price:Output: $1.79/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Cohere

No standout differentiators in the data we have for this pair.

Meta
Larger context window (1,000,000 tokens)
Supports multimodal inputs
Less expensive input tokens
Less expensive output tokens
Higher MMLU score (85.5% vs 75.7%)

Detailed Comparison

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

FAQ

Common questions about Command R+ vs Llama 4 Maverick.

Which is better, Command R+ or Llama 4 Maverick?

Llama 4 Maverick significantly outperforms across most benchmarks. Command R+ is made by Cohere and Llama 4 Maverick is made by Meta. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does Command R+ compare to Llama 4 Maverick in benchmarks?

Command R+ scores HellaSwag: 88.6%, Winogrande: 85.4%, MMLU: 75.7%, ARC-C: 71.0%, GSM8k: 70.7%. Llama 4 Maverick scores DocVQA: 94.4%, MGSM: 92.3%, ChartQA: 90.0%, MMLU: 85.5%, MMLU-Pro: 80.5%.

Is Command R+ cheaper than Llama 4 Maverick?

Llama 4 Maverick is 1.5x cheaper for input tokens. Command R+ costs $0.25/M input and $1.00/M output via cohere. Llama 4 Maverick costs $0.17/M input and $0.60/M output via deepinfra.

What are the context window sizes for Command R+ and Llama 4 Maverick?

Command R+ supports 128K tokens and Llama 4 Maverick supports 1.0M tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Command R+ and Llama 4 Maverick?

Key differences include context window (128K vs 1.0M), input pricing ($0.25 vs $0.17/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.

Who makes Command R+ and Llama 4 Maverick?

Command R+ is developed by Cohere and Llama 4 Maverick is developed by Meta.