Llama-3.3 Nemotron Super 49B v1 vs Qwen3 VL 30B A3B Thinking
Llama-3.3 Nemotron Super 49B v1 and Qwen3 VL 30B A3B Thinking are closely matched at 13.1 and 18.2 on the LLM Stats Score.
NVIDIA · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
Llama-3.3 Nemotron Super 49B v1 and Qwen3 VL 30B A3B Thinking are closely matched on the overall LLM Stats Score at 13.1 and 18.2.
In the 2 individual benchmarks reported for both models, Qwen3 VL 30B A3B Thinking 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 Llama-3.3 Nemotron Super 49B v1
- you are already invested in the NVIDIA ecosystem
Choose Qwen3 VL 30B A3B Thinking
- you value its reported benchmark strengths — it wins 2 of 2 exact shared results
- you want the most recent training data — it shipped Sep 2025
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
7 reported for Llama-3.3 Nemotron Super 49B v1 · 50 for Qwen3 VL 30B A3B Thinking
Llama-3.3 Nemotron Super 49B v1 outperforms in 0 benchmarks, while Qwen3 VL 30B A3B Thinking is better at 2 benchmarks (AIME 2025, GPQA).
Qwen3 VL 30B A3B Thinking significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Model Size
Parameter count comparison
Llama-3.3 Nemotron Super 49B v1 has 18.9B more parameters than Qwen3 VL 30B A3B Thinking, making it 61.0% larger.
Context Window
Maximum input and output token capacity
Only Qwen3 VL 30B A3B Thinking specifies input context (131,072 tokens). Only Qwen3 VL 30B A3B Thinking specifies output context (32,768 tokens).
Input capabilities
Documented input modalities across available providers
Qwen3 VL 30B A3B Thinking supports multimodal inputs, whereas Llama-3.3 Nemotron Super 49B v1 does not.
Qwen3 VL 30B A3B Thinking can handle both text and other forms of data like images, making it suitable for multimodal applications.
Llama-3.3 Nemotron Super 49B v1
Qwen3 VL 30B A3B Thinking
License
Usage and distribution terms
Llama-3.3 Nemotron Super 49B v1 is licensed under Llama 3.1 Community License, while Qwen3 VL 30B 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 Community License
Open weights
Apache 2.0
Open weights
Release Timeline
When each model was launched
Llama-3.3 Nemotron Super 49B v1 was released on 2025-03-18, while Qwen3 VL 30B A3B Thinking was released on 2025-09-22.
Qwen3 VL 30B A3B Thinking is 6 months newer than Llama-3.3 Nemotron Super 49B v1.
Mar 18, 2025
1.5 years ago
Sep 22, 2025
1.0 years ago
6mo newerKnowledge Cutoff
When training data ends
Llama-3.3 Nemotron Super 49B v1 has a documented knowledge cutoff of 2023-12-31, while Qwen3 VL 30B A3B Thinking'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 Qwen3 VL 30B A3B Thinking's cutoff date.
Dec 2023
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Outputs Comparison
Judge for yourself.
Run your own prompts against Llama-3.3 Nemotron Super 49B v1 and Qwen3 VL 30B A3B Thinking side-by-side, then vote on the output you prefer.
FAQ
Common questions about Llama-3.3 Nemotron Super 49B v1 vs Qwen3 VL 30B A3B Thinking.