Model Comparison

Claude Opus 4.6 vs Llama 3.1 Nemotron Nano 8B V1Which is better in 2026?

Claude Opus 4.6 significantly outperforms across most benchmarks.

Verdict: Claude Opus 4.6 vs Llama 3.1 Nemotron Nano 8B V1 — which is better?

Claude Opus 4.6 (by Anthropic) and Llama 3.1 Nemotron Nano 8B V1 (by NVIDIA) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.

Claude Opus 4.6 outperforms in 2 benchmarks (AIME 2025, GPQA), while Llama 3.1 Nemotron Nano 8B V1 is better at 0 benchmarks. Claude Opus 4.6 significantly outperforms across most benchmarks.

Choose Claude Opus 4.6 if…

  • you want the strongest raw capability — it leads on 2 of 2 shared benchmarks
  • you want the most recent training data — it shipped Feb 2026

Choose Llama 3.1 Nemotron Nano 8B V1 if…

  • you need open weights you can self-host or fine-tune

Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

Claude Opus 4.6 outperforms in 2 benchmarks (AIME 2025, GPQA), while Llama 3.1 Nemotron Nano 8B V1 is better at 0 benchmarks.

Claude Opus 4.6 significantly outperforms across most benchmarks.

Sat Jun 06 2026 • llm-stats.com

Arena Performance

Human preference votes

Context Window

Maximum input and output token capacity

Only Claude Opus 4.6 specifies input context (1,000,000 tokens). Only Claude Opus 4.6 specifies output context (128,000 tokens).

Anthropic
Claude Opus 4.6
Input1,000,000 tokens
Output128,000 tokens
NVIDIA
Llama 3.1 Nemotron Nano 8B V1
Input- tokens
Output- tokens
Sat Jun 06 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Claude Opus 4.6 supports multimodal inputs, whereas Llama 3.1 Nemotron Nano 8B V1 does not.

Claude Opus 4.6 can handle both text and other forms of data like images, making it suitable for multimodal applications.

Claude Opus 4.6

Text
Images
Audio
Video

Llama 3.1 Nemotron Nano 8B V1

Text
Images
Audio
Video

License

Usage and distribution terms

Claude Opus 4.6 is licensed under a proprietary license, while Llama 3.1 Nemotron Nano 8B V1 uses Llama 3.1 Community License.

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

Claude Opus 4.6

Proprietary

Closed source

Llama 3.1 Nemotron Nano 8B V1

Llama 3.1 Community License

Open weights

Release Timeline

When each model was launched

Claude Opus 4.6 was released on 2026-02-05, while Llama 3.1 Nemotron Nano 8B V1 was released on 2025-03-18.

Claude Opus 4.6 is 11 months newer than Llama 3.1 Nemotron Nano 8B V1.

Claude Opus 4.6

Feb 5, 2026

4 months ago

10mo newer
Llama 3.1 Nemotron Nano 8B V1

Mar 18, 2025

1.2 years ago

Knowledge Cutoff

When training data ends

Llama 3.1 Nemotron Nano 8B V1 has a documented knowledge cutoff of 2023-12-31, while Claude Opus 4.6's cutoff date is not specified.

We can confirm Llama 3.1 Nemotron Nano 8B V1's training data extends to 2023-12-31, but cannot make a direct comparison without Claude Opus 4.6's cutoff date.

Claude Opus 4.6

Llama 3.1 Nemotron Nano 8B V1

Dec 2023

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Key Takeaways

Larger context window (1,000,000 tokens)
Supports multimodal inputs
Higher AIME 2025 score (99.8% vs 47.1%)
Higher GPQA score (91.3% vs 54.1%)

Detailed Comparison

AI Model Comparison Table
Feature
Anthropic
Claude Opus 4.6
NVIDIA
Llama 3.1 Nemotron Nano 8B V1

FAQ

Common questions about Claude Opus 4.6 vs Llama 3.1 Nemotron Nano 8B V1.

Which is better, Claude Opus 4.6 or Llama 3.1 Nemotron Nano 8B V1?

Claude Opus 4.6 significantly outperforms across most benchmarks. Claude Opus 4.6 is made by Anthropic and Llama 3.1 Nemotron Nano 8B V1 is made by NVIDIA. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does Claude Opus 4.6 compare to Llama 3.1 Nemotron Nano 8B V1 in benchmarks?

Claude Opus 4.6 scores Vending-Bench 2: 100.0%, AIME 2025: 99.8%, Tau2 Telecom: 99.3%, Graphwalks parents >128k: 95.4%, MRCR v2 (8-needle): 93.0%. Llama 3.1 Nemotron Nano 8B V1 scores MATH-500: 95.4%, MBPP: 84.6%, MT-Bench: 81.0%, IFEval: 79.3%, BFCL v2: 63.6%.

What are the context window sizes for Claude Opus 4.6 and Llama 3.1 Nemotron Nano 8B V1?

Claude Opus 4.6 supports 1.0M tokens and Llama 3.1 Nemotron Nano 8B 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 Opus 4.6 and Llama 3.1 Nemotron Nano 8B V1?

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.

Who makes Claude Opus 4.6 and Llama 3.1 Nemotron Nano 8B V1?

Claude Opus 4.6 is developed by Anthropic and Llama 3.1 Nemotron Nano 8B V1 is developed by NVIDIA.