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Claude 3.7 Sonnet vs Llama-3.3 Nemotron Super 49B v1

Claude 3.7 Sonnet leads the LLM Stats Score 23.9 to 13.1.

Anthropic · NVIDIA · Updated for 2026

Which is better?

Claude 3.7 Sonnet leads the overall LLM Stats Score 23.9 to 13.1, ranking #175 overall.

In the 3 individual benchmarks reported for both models, Llama-3.3 Nemotron Super 49B v1 wins 2; this is a narrower head-to-head signal than the composite indexes.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose Claude 3.7 Sonnet

  • overall performance matters — it scores 23.9 and ranks #175 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes

Choose Llama-3.3 Nemotron Super 49B v1

  • you value its reported benchmark strengths — it wins 2 of 3 exact shared results
  • you want the most recent training data — it shipped Mar 2025
  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

Claude 3.7 Sonnet
Anthropic
Llama-3.3 Nemotron Super 49B v1
NVIDIA
Core performance indexes
LLM Stats Score
23.9
#175
13.1
#252
Reasoning
23.1
#171
13.2
#245
Cost, coverage & limits
Benchmark wins
1 of 3
2 of 3
Input price
$3.00 / M
— / M
Output price
$15.00 / M
— / M
Context window
200,000
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
Claude 3.7 Sonnet
Llama-3.3 Nemotron Super 49B v1
Math
16.8#202
11.7#238
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

11 reported for Claude 3.7 Sonnet · 7 for Llama-3.3 Nemotron Super 49B v1

3 shared

Claude 3.7 Sonnet outperforms in 1 benchmarks (GPQA), while Llama-3.3 Nemotron Super 49B v1 is better at 2 benchmarks (AIME 2025, MATH-500).

Llama-3.3 Nemotron Super 49B v1 shows notably better performance in the majority of benchmarks.

Thu Sep 24 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Context Window

Maximum input and output token capacity

Only Claude 3.7 Sonnet specifies input context (200,000 tokens). Only Claude 3.7 Sonnet specifies output context (128,000 tokens).

Anthropic
Claude 3.7 Sonnet
Input200,000 tokens
Output128,000 tokens
NVIDIA
Llama-3.3 Nemotron Super 49B v1
Input- tokens
Output- tokens
Thu Sep 24 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Claude 3.7 Sonnet supports multimodal inputs, whereas Llama-3.3 Nemotron Super 49B v1 does not.

Claude 3.7 Sonnet can handle both text and other forms of data like images, making it suitable for multimodal applications.

Claude 3.7 Sonnet

Text
Images
Audio
Video

Llama-3.3 Nemotron Super 49B v1

Text
Images
Audio
Video

License

Usage and distribution terms

Claude 3.7 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 3.7 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 3.7 Sonnet was released on 2025-02-24, while Llama-3.3 Nemotron Super 49B v1 was released on 2025-03-18.

Llama-3.3 Nemotron Super 49B v1 is 1 month newer than Claude 3.7 Sonnet.

Claude 3.7 Sonnet

Feb 24, 2025

1.6 years ago

Llama-3.3 Nemotron Super 49B v1

Mar 18, 2025

1.5 years ago

3w 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 3.7 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 3.7 Sonnet's cutoff date.

Claude 3.7 Sonnet

—

Llama-3.3 Nemotron Super 49B v1

Dec 2023

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against Claude 3.7 Sonnet and Llama-3.3 Nemotron Super 49B v1 side-by-side, then vote on the output you prefer.

Claude 3.7 Sonnet
✓ Preferred
Llama-3.3 Nemotron Super 49B v1
Open in Playground

FAQ

Common questions about Claude 3.7 Sonnet vs Llama-3.3 Nemotron Super 49B v1.

Which is better, Claude 3.7 Sonnet or Llama-3.3 Nemotron Super 49B v1?

Claude 3.7 Sonnet leads the LLM Stats Score 23.9 to 13.1. Claude 3.7 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 capability indexes, individual benchmarks, pricing, and limits above.

How does Claude 3.7 Sonnet compare to Llama-3.3 Nemotron Super 49B v1 in benchmarks?

Claude 3.7 Sonnet scores MATH-500: 96.2%, IFEval: 93.2%, MMMLU: 86.1%, GPQA: 84.8%, TAU-bench Retail: 81.2%. 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 Claude 3.7 Sonnet and Llama-3.3 Nemotron Super 49B v1?

Claude 3.7 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.

What are the main differences between Claude 3.7 Sonnet and Llama-3.3 Nemotron Super 49B v1?

Key differences include LLM Stats Score (23.9 vs 13.1), multimodal support (yes vs no), licensing (Proprietary vs Llama 3.1 Community License). See the full comparison above for benchmark-by-benchmark results.

Who makes Claude 3.7 Sonnet and Llama-3.3 Nemotron Super 49B v1?

Claude 3.7 Sonnet is developed by Anthropic and Llama-3.3 Nemotron Super 49B v1 is developed by NVIDIA.

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