Model Comparison

Command R+ vs Llama-3.3 Nemotron Super 49B v1

Comparing Command R+ and Llama-3.3 Nemotron Super 49B v1 across benchmarks, pricing, and capabilities.

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Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

Command R+ and Llama-3.3 Nemotron Super 49B v1 don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Model Size

Parameter count comparison

54.1B diff

Command R+ has 54.1B more parameters than Llama-3.3 Nemotron Super 49B v1, making it 108.4% larger.

Cohere
Command R+
104.0Bparameters
NVIDIA
Llama-3.3 Nemotron Super 49B v1
49.9Bparameters
104.0B
Command R+
49.9B
Llama-3.3 Nemotron Super 49B v1

Context Window

Maximum input and output token capacity

Only Command R+ specifies input context (128,000 tokens). Only Command R+ specifies output context (128,000 tokens).

Cohere
Command R+
Input128,000 tokens
Output128,000 tokens
NVIDIA
Llama-3.3 Nemotron Super 49B v1
Input- tokens
Output- tokens
Sat May 02 2026 • llm-stats.com

License

Usage and distribution terms

Command R+ is licensed under CC BY-NC, while Llama-3.3 Nemotron Super 49B v1 uses Llama 3.1 Community License.

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

Command R+

CC BY-NC

Open weights

Llama-3.3 Nemotron Super 49B v1

Llama 3.1 Community License

Open weights

Release Timeline

When each model was launched

Command R+ was released on 2024-08-30, while Llama-3.3 Nemotron Super 49B v1 was released on 2025-03-18.

Llama-3.3 Nemotron Super 49B v1 is 7 months newer than Command R+.

Command R+

Aug 30, 2024

1.7 years ago

Llama-3.3 Nemotron Super 49B v1

Mar 18, 2025

1.1 years ago

6mo newer

Knowledge Cutoff

When training data ends

Llama-3.3 Nemotron Super 49B v1 has a documented knowledge cutoff of 2023-12-31, while Command R+'s cutoff date is not specified.

We can confirm Llama-3.3 Nemotron Super 49B v1's training data extends to 2023-12-31, but cannot make a direct comparison without Command R+'s cutoff date.

Command R+

—

Llama-3.3 Nemotron Super 49B v1

Dec 2023

Outputs Comparison

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Key Takeaways

Cohere
Larger context window (128,000 tokens)
NVIDIA

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

Detailed Comparison

AI Model Comparison Table
Feature
Cohere
Command R+
NVIDIA
Llama-3.3 Nemotron Super 49B v1

FAQ

Common questions about Command R+ vs Llama-3.3 Nemotron Super 49B v1.

Which is better, Command R+ or Llama-3.3 Nemotron Super 49B v1?

Command R+ (Cohere) and Llama-3.3 Nemotron Super 49B v1 (NVIDIA) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does Command R+ compare to Llama-3.3 Nemotron Super 49B v1 in benchmarks?

Command R+ scores HellaSwag: 88.6%, Winogrande: 85.4%, MMLU: 75.7%, ARC-C: 71.0%, GSM8k: 70.7%. Llama-3.3 Nemotron Super 49B v1 scores MATH-500: 96.6%, MT-Bench: 91.7%, MBPP: 91.3%, Arena Hard: 88.3%, BFCL v2: 73.7%.

What are the context window sizes for Command R+ and Llama-3.3 Nemotron Super 49B v1?

Command R+ supports 128K tokens and Llama-3.3 Nemotron Super 49B v1 supports an unknown number of 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-3.3 Nemotron Super 49B v1?

Key differences include licensing (CC BY-NC vs Llama 3.1 Community License). See the full comparison above for benchmark-by-benchmark results.

Who makes Command R+ and Llama-3.3 Nemotron Super 49B v1?

Command R+ is developed by Cohere and Llama-3.3 Nemotron Super 49B v1 is developed by NVIDIA.