Model Comparison

Llama 3.1 Nemotron 70B Instruct vs Qwen3-Next-80B-A3B-ThinkingWhich is better in 2026?

Comparing Llama 3.1 Nemotron 70B Instruct and Qwen3-Next-80B-A3B-Thinking across benchmarks, pricing, and capabilities.

Verdict: Llama 3.1 Nemotron 70B Instruct vs Qwen3-Next-80B-A3B-Thinking — which is better?

Llama 3.1 Nemotron 70B Instruct (by NVIDIA) and Qwen3-Next-80B-A3B-Thinking (by Alibaba Cloud / Qwen Team) 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.

Choose Llama 3.1 Nemotron 70B Instruct if…

  • you are already invested in the NVIDIA ecosystem

Choose Qwen3-Next-80B-A3B-Thinking if…

  • you want the most recent training data — it shipped Sep 2025

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

Llama 3.1 Nemotron 70B Instruct and Qwen3-Next-80B-A3B-Thinkingdon'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

10.0B diff

Qwen3-Next-80B-A3B-Thinking has 10.0B more parameters than Llama 3.1 Nemotron 70B Instruct, making it 14.3% larger.

NVIDIA
Llama 3.1 Nemotron 70B Instruct
70.0Bparameters
Alibaba Cloud / Qwen Team
Qwen3-Next-80B-A3B-Thinking
80.0Bparameters
70.0B
Llama 3.1 Nemotron 70B Instruct
80.0B
Qwen3-Next-80B-A3B-Thinking

Context Window

Maximum input and output token capacity

Only Qwen3-Next-80B-A3B-Thinking specifies input context (65,536 tokens). Only Qwen3-Next-80B-A3B-Thinking specifies output context (65,536 tokens).

NVIDIA
Llama 3.1 Nemotron 70B Instruct
Input- tokens
Output- tokens
Alibaba Cloud / Qwen Team
Qwen3-Next-80B-A3B-Thinking
Input65,536 tokens
Output65,536 tokens
Tue Jul 28 2026 • llm-stats.com

License

Usage and distribution terms

Llama 3.1 Nemotron 70B Instruct is licensed under Llama 3.1 Community License, while Qwen3-Next-80B-A3B-Thinking uses Apache 2.0.

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

Llama 3.1 Nemotron 70B Instruct

Llama 3.1 Community License

Open weights

Qwen3-Next-80B-A3B-Thinking

Apache 2.0

Open weights

Release Timeline

When each model was launched

Llama 3.1 Nemotron 70B Instruct was released on 2024-10-01, while Qwen3-Next-80B-A3B-Thinking was released on 2025-09-10.

Qwen3-Next-80B-A3B-Thinking is 11 months newer than Llama 3.1 Nemotron 70B Instruct.

Llama 3.1 Nemotron 70B Instruct

Oct 1, 2024

1.8 years ago

Qwen3-Next-80B-A3B-Thinking

Sep 10, 2025

10 months ago

11mo newer

Knowledge Cutoff

When training data ends

Llama 3.1 Nemotron 70B Instruct has a documented knowledge cutoff of 2023-12-01, while Qwen3-Next-80B-A3B-Thinking'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 Qwen3-Next-80B-A3B-Thinking's cutoff date.

Llama 3.1 Nemotron 70B Instruct

Dec 2023

Qwen3-Next-80B-A3B-Thinking

—

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

NVIDIA

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

Alibaba Cloud / Qwen Team
Larger context window (65,536 tokens)

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against Llama 3.1 Nemotron 70B Instruct and Qwen3-Next-80B-A3B-Thinking side-by-side, then vote on the output you prefer.

Llama 3.1 Nemotron 70B Instruct
✓ Preferred
Qwen3-Next-80B-A3B-Thinking
Open in Playground
AI Model Comparison Table
Feature
NVIDIA
Llama 3.1 Nemotron 70B Instruct
Alibaba Cloud / Qwen Team
Qwen3-Next-80B-A3B-Thinking

FAQ

Common questions about Llama 3.1 Nemotron 70B Instruct vs Qwen3-Next-80B-A3B-Thinking.

Which is better, Llama 3.1 Nemotron 70B Instruct or Qwen3-Next-80B-A3B-Thinking?

Llama 3.1 Nemotron 70B Instruct (NVIDIA) and Qwen3-Next-80B-A3B-Thinking (Alibaba Cloud / Qwen Team) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does Llama 3.1 Nemotron 70B Instruct compare to Qwen3-Next-80B-A3B-Thinking in benchmarks?

Llama 3.1 Nemotron 70B Instruct scores GSM8k: 91.4%, HellaSwag: 85.6%, Winogrande: 84.5%, GSM8K Chat: 81.9%, MMLU Chat: 80.6%. Qwen3-Next-80B-A3B-Thinking scores MMLU-Redux: 92.5%, IFEval: 88.9%, AIME 2025: 87.8%, WritingBench: 84.6%, MMLU-Pro: 82.7%.

What are the context window sizes for Llama 3.1 Nemotron 70B Instruct and Qwen3-Next-80B-A3B-Thinking?

Llama 3.1 Nemotron 70B Instruct supports an unknown number of tokens and Qwen3-Next-80B-A3B-Thinking supports 66K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Llama 3.1 Nemotron 70B Instruct and Qwen3-Next-80B-A3B-Thinking?

Key differences include licensing (Llama 3.1 Community License vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Llama 3.1 Nemotron 70B Instruct and Qwen3-Next-80B-A3B-Thinking?

Llama 3.1 Nemotron 70B Instruct is developed by NVIDIA and Qwen3-Next-80B-A3B-Thinking is developed by Alibaba Cloud / Qwen Team.

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