Llama 3.1 Nemotron Ultra 253B v1 vs Qwen3 VL 4B Thinking
Llama 3.1 Nemotron Ultra 253B v1 leads the LLM Stats Score 19.1 to 12.9.
NVIDIA · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
Llama 3.1 Nemotron Ultra 253B v1 leads the overall LLM Stats Score 19.1 to 12.9, ranking #206 overall.
In the 3 individual benchmarks reported for both models, Llama 3.1 Nemotron Ultra 253B v1 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 3.1 Nemotron Ultra 253B v1
- overall performance matters — it scores 19.1 and ranks #206 on LLM Stats
- your work emphasizes reasoning — it leads those capability indexes
- you value its reported benchmark strengths — it wins 2 of 3 exact shared results
Choose Qwen3 VL 4B Thinking
- 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
6 reported for Llama 3.1 Nemotron Ultra 253B v1 · 48 for Qwen3 VL 4B Thinking
Llama 3.1 Nemotron Ultra 253B v1 outperforms in 2 benchmarks (GPQA, IFEval), while Qwen3 VL 4B Thinking is better at 1 benchmark (AIME 2025).
Llama 3.1 Nemotron Ultra 253B v1 shows notably better performance in the majority of benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Model Size
Parameter count comparison
Llama 3.1 Nemotron Ultra 253B v1 has 249.0B more parameters than Qwen3 VL 4B Thinking, making it 6225.0% larger.
Context Window
Maximum input and output token capacity
Only Qwen3 VL 4B Thinking specifies input context (262,144 tokens). Only Qwen3 VL 4B Thinking specifies output context (262,144 tokens).
Input capabilities
Documented input modalities across available providers
Qwen3 VL 4B Thinking supports multimodal inputs, whereas Llama 3.1 Nemotron Ultra 253B v1 does not.
Qwen3 VL 4B Thinking can handle both text and other forms of data like images, making it suitable for multimodal applications.
Llama 3.1 Nemotron Ultra 253B v1
Qwen3 VL 4B Thinking
License
Usage and distribution terms
Llama 3.1 Nemotron Ultra 253B v1 is licensed under Llama 3.1 Community License, while Qwen3 VL 4B 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 Ultra 253B v1 was released on 2025-04-07, while Qwen3 VL 4B Thinking was released on 2025-09-22.
Qwen3 VL 4B Thinking is 6 months newer than Llama 3.1 Nemotron Ultra 253B v1.
Apr 7, 2025
1.5 years ago
Sep 22, 2025
12 months ago
5mo newerKnowledge Cutoff
When training data ends
Llama 3.1 Nemotron Ultra 253B v1 has a documented knowledge cutoff of 2023-12-01, while Qwen3 VL 4B Thinking's cutoff date is not specified.
We can confirm Llama 3.1 Nemotron Ultra 253B v1's training data extends to 2023-12-01, but cannot make a direct comparison without Qwen3 VL 4B Thinking's cutoff date.
Dec 2023
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Outputs Comparison
Judge for yourself.
Run your own prompts against Llama 3.1 Nemotron Ultra 253B v1 and Qwen3 VL 4B Thinking side-by-side, then vote on the output you prefer.
FAQ
Common questions about Llama 3.1 Nemotron Ultra 253B v1 vs Qwen3 VL 4B Thinking.
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