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Claude 3.7 Sonnet vs Llama 3.1 Nemotron 70B Instruct

Claude 3.7 Sonnet leads the LLM Stats Score 24.0 to 0.4.

Anthropic · NVIDIA · Updated for 2026

Which is better?

Claude 3.7 Sonnet leads the overall LLM Stats Score 24.0 to 0.4, ranking #167 overall.

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

Choose Claude 3.7 Sonnet

  • overall performance matters — it scores 24.0 and ranks #167 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you want the most recent training data — it shipped Feb 2025

Choose Llama 3.1 Nemotron 70B Instruct

  • 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 3.1 Nemotron 70B Instruct
NVIDIA
Core performance indexes
LLM Stats Score
24.0
#167
0.4
#322
Reasoning
23.1
#163
0.1
#315
Cost, coverage & limits
Benchmark wins
—
—
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 3.1 Nemotron 70B Instruct
Math
16.8#200
7.0#265
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

11 reported for Claude 3.7 Sonnet · 11 for Llama 3.1 Nemotron 70B Instruct

No common benchmarks found

Claude 3.7 Sonnet and Llama 3.1 Nemotron 70B Instructdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

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 3.1 Nemotron 70B Instruct
Input- tokens
Output- tokens
Thu Sep 10 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Claude 3.7 Sonnet supports multimodal inputs, whereas Llama 3.1 Nemotron 70B Instruct 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 3.1 Nemotron 70B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

Claude 3.7 Sonnet is licensed under a proprietary license, while Llama 3.1 Nemotron 70B Instruct 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 3.1 Nemotron 70B Instruct

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 3.1 Nemotron 70B Instruct was released on 2024-10-01.

Claude 3.7 Sonnet is 5 months newer than Llama 3.1 Nemotron 70B Instruct.

Claude 3.7 Sonnet

Feb 24, 2025

1.5 years ago

4mo newer
Llama 3.1 Nemotron 70B Instruct

Oct 1, 2024

1.9 years ago

Knowledge Cutoff

When training data ends

Llama 3.1 Nemotron 70B Instruct has a documented knowledge cutoff of 2023-12-01, while Claude 3.7 Sonnet's cutoff date is not specified.

We can confirm Llama 3.1 Nemotron 70B Instruct's training data extends to 2023-12-01, but cannot make a direct comparison without Claude 3.7 Sonnet's cutoff date.

Claude 3.7 Sonnet

—

Llama 3.1 Nemotron 70B Instruct

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 3.1 Nemotron 70B Instruct side-by-side, then vote on the output you prefer.

Claude 3.7 Sonnet
✓ Preferred
Llama 3.1 Nemotron 70B Instruct
Open in Playground

FAQ

Common questions about Claude 3.7 Sonnet vs Llama 3.1 Nemotron 70B Instruct.

Which is better, Claude 3.7 Sonnet or Llama 3.1 Nemotron 70B Instruct?

Claude 3.7 Sonnet leads the LLM Stats Score 24.0 to 0.4. Claude 3.7 Sonnet is made by Anthropic and Llama 3.1 Nemotron 70B Instruct 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 3.1 Nemotron 70B Instruct 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 3.1 Nemotron 70B Instruct scores GSM8k: 91.4%, HellaSwag: 85.6%, Winogrande: 84.5%, GSM8K Chat: 81.9%, MMLU Chat: 80.6%.

What are the context window sizes for Claude 3.7 Sonnet and Llama 3.1 Nemotron 70B Instruct?

Claude 3.7 Sonnet supports 200K tokens and Llama 3.1 Nemotron 70B Instruct 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 3.1 Nemotron 70B Instruct?

Key differences include LLM Stats Score (24.0 vs 0.4), 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 3.1 Nemotron 70B Instruct?

Claude 3.7 Sonnet is developed by Anthropic and Llama 3.1 Nemotron 70B Instruct is developed by NVIDIA.

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