Model Comparison
Llama 3.1 Nemotron 70B Instruct vs Qwen3 VL 235B A22B ThinkingWhich is better in 2026?
Qwen3 VL 235B A22B Thinking significantly outperforms across most benchmarks.
Verdict: Llama 3.1 Nemotron 70B Instruct vs Qwen3 VL 235B A22B Thinking — which is better?
Llama 3.1 Nemotron 70B Instruct (by NVIDIA) and Qwen3 VL 235B A22B 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.
Llama 3.1 Nemotron 70B Instruct outperforms in 0 benchmarks, while Qwen3 VL 235B A22B Thinking is better at 1 benchmark (MMLU). Qwen3 VL 235B A22B Thinking significantly outperforms across most benchmarks.
Choose Llama 3.1 Nemotron 70B Instruct if…
- you are already invested in the NVIDIA ecosystem
Choose Qwen3 VL 235B A22B Thinking if…
- you want the strongest raw capability — it leads on 1 of 1 shared benchmarks
- you want the most recent training data — it shipped Sep 2025
Performance Benchmarks
Comparative analysis across standard metrics
Llama 3.1 Nemotron 70B Instruct outperforms in 0 benchmarks, while Qwen3 VL 235B A22B Thinking is better at 1 benchmark (MMLU).
Qwen3 VL 235B A22B Thinking significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Model Size
Parameter count comparison
Qwen3 VL 235B A22B Thinking has 166.0B more parameters than Llama 3.1 Nemotron 70B Instruct, making it 237.1% larger.
Context Window
Maximum input and output token capacity
Only Qwen3 VL 235B A22B Thinking specifies input context (262,144 tokens). Only Qwen3 VL 235B A22B Thinking specifies output context (262,144 tokens).
Input Capabilities
Supported data types and modalities
Qwen3 VL 235B A22B Thinking supports multimodal inputs, whereas Llama 3.1 Nemotron 70B Instruct does not.
Qwen3 VL 235B A22B Thinking can handle both text and other forms of data like images, making it suitable for multimodal applications.
Llama 3.1 Nemotron 70B Instruct
Qwen3 VL 235B A22B Thinking
License
Usage and distribution terms
Llama 3.1 Nemotron 70B Instruct is licensed under Llama 3.1 Community License, while Qwen3 VL 235B A22B Thinking uses Apache 2.0.
License differences may affect how you can use these models in commercial or open-source projects.
Llama 3.1 Community License
Open weights
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 VL 235B A22B Thinking was released on 2025-09-22.
Qwen3 VL 235B A22B Thinking is 12 months newer than Llama 3.1 Nemotron 70B Instruct.
Oct 1, 2024
1.8 years ago
Sep 22, 2025
9 months ago
11mo newerKnowledge Cutoff
When training data ends
Llama 3.1 Nemotron 70B Instruct has a documented knowledge cutoff of 2023-12-01, while Qwen3 VL 235B A22B 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 VL 235B A22B Thinking's cutoff date.
Dec 2023
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Outputs Comparison
Key Takeaways
No standout differentiators in the data we have for this pair.
Qwen3 VL 235B A22B Thinking
View detailsAlibaba Cloud / Qwen Team
Detailed Comparison
Interactive Arena
Judge for yourself.
Run your own prompts against Llama 3.1 Nemotron 70B Instruct and Qwen3 VL 235B A22B Thinking side-by-side, then vote on the output you prefer.
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FAQ
Common questions about Llama 3.1 Nemotron 70B Instruct vs Qwen3 VL 235B A22B Thinking.