Model Comparison

Claude 3 Sonnet vs Llama-3.3 Nemotron Super 49B v1

Llama-3.3 Nemotron Super 49B v1 significantly outperforms across most benchmarks.

Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

Claude 3 Sonnet outperforms in 0 benchmarks, while Llama-3.3 Nemotron Super 49B v1 is better at 1 benchmark (GPQA).

Llama-3.3 Nemotron Super 49B v1 significantly outperforms across most benchmarks.

Thu Apr 02 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Cost data unavailable.

Lowest available price from all providers
Thu Apr 02 2026 • llm-stats.com
Anthropic
Claude 3 Sonnet
Input tokens$3.00
Output tokens$15.00
Best providerAnthropic
NVIDIA
Llama-3.3 Nemotron Super 49B v1
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
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Context Window

Maximum input and output token capacity

Only Claude 3 Sonnet specifies input context (200,000 tokens). Only Claude 3 Sonnet specifies output context (200,000 tokens).

Anthropic
Claude 3 Sonnet
Input200,000 tokens
Output200,000 tokens
NVIDIA
Llama-3.3 Nemotron Super 49B v1
Input- tokens
Output- tokens
Thu Apr 02 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Claude 3 Sonnet supports multimodal inputs, whereas Llama-3.3 Nemotron Super 49B v1 does not.

Claude 3 Sonnet can handle both text and other forms of data like images, making it suitable for multimodal applications.

Claude 3 Sonnet

Text
Images
Audio
Video

Llama-3.3 Nemotron Super 49B v1

Text
Images
Audio
Video

License

Usage and distribution terms

Claude 3 Sonnet is licensed under a proprietary license, 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.

Claude 3 Sonnet

Proprietary

Closed source

Llama-3.3 Nemotron Super 49B v1

Llama 3.1 Community License

Open weights

Release Timeline

When each model was launched

Claude 3 Sonnet was released on 2024-02-29, while Llama-3.3 Nemotron Super 49B v1 was released on 2025-03-18.

Llama-3.3 Nemotron Super 49B v1 is 13 months newer than Claude 3 Sonnet.

Claude 3 Sonnet

Feb 29, 2024

2.1 years ago

Llama-3.3 Nemotron Super 49B v1

Mar 18, 2025

1.0 years ago

1.0yr newer

Knowledge Cutoff

When training data ends

Llama-3.3 Nemotron Super 49B v1 has a documented knowledge cutoff of 2023-12-31, while Claude 3 Sonnet'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 Claude 3 Sonnet's cutoff date.

Claude 3 Sonnet

Llama-3.3 Nemotron Super 49B v1

Dec 2023

Outputs Comparison

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Key Takeaways

Larger context window (200,000 tokens)
Supports multimodal inputs
Has open weights
Higher GPQA score (66.7% vs 40.4%)

Detailed Comparison

AI Model Comparison Table
Feature
Anthropic
Claude 3 Sonnet
NVIDIA
Llama-3.3 Nemotron Super 49B v1

FAQ

Common questions about Claude 3 Sonnet vs Llama-3.3 Nemotron Super 49B v1

Llama-3.3 Nemotron Super 49B v1 significantly outperforms across most benchmarks. Claude 3 Sonnet is made by Anthropic and Llama-3.3 Nemotron Super 49B v1 is made by NVIDIA. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
Claude 3 Sonnet scores ARC-C: 93.2%, GSM8k: 92.3%, HellaSwag: 89.0%, MGSM: 83.5%, BIG-Bench Hard: 82.9%. 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%.
Claude 3 Sonnet supports 200K 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.
Key differences include multimodal support (yes vs no), licensing (Proprietary vs Llama 3.1 Community License). See the full comparison above for benchmark-by-benchmark results.
Claude 3 Sonnet is developed by Anthropic and Llama-3.3 Nemotron Super 49B v1 is developed by NVIDIA.