Nemotron Labs Dory 1.0 (4B) vs Qwen3 VL 235B A22B Thinking
Nemotron Labs Dory 1.0 (4B) and Qwen3 VL 235B A22B Thinking are closely matched at 21.8 and 26.3 on the LLM Stats Score.
NVIDIA · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
Nemotron Labs Dory 1.0 (4B) and Qwen3 VL 235B A22B Thinking are closely matched on the overall LLM Stats Score at 21.8 and 26.3.
In the 1 individual benchmarks reported for both models, Qwen3 VL 235B A22B Thinking wins 1; 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 Nemotron Labs Dory 1.0 (4B)
- you want the most recent training data — it shipped Oct 2026
Choose Qwen3 VL 235B A22B Thinking
- your work emphasizes agents — it leads those capability indexes
- you value its reported benchmark strengths — it wins 1 of 1 exact shared results
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
10 reported for Nemotron Labs Dory 1.0 (4B) · 67 for Qwen3 VL 235B A22B Thinking
Nemotron Labs Dory 1.0 (4B) outperforms in 0 benchmarks, while Qwen3 VL 235B A22B Thinking is better at 1 benchmark (Humanity's Last Exam).
Qwen3 VL 235B A22B Thinking significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Model Size
Parameter count comparison
Qwen3 VL 235B A22B Thinking has 232.0B more parameters than Nemotron Labs Dory 1.0 (4B), making it 5800.0% 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
Documented input modalities across available providers
Qwen3 VL 235B A22B Thinking supports multimodal inputs, whereas Nemotron Labs Dory 1.0 (4B) does not.
Qwen3 VL 235B A22B Thinking can handle both text and other forms of data like images, making it suitable for multimodal applications.
Nemotron Labs Dory 1.0 (4B)
Qwen3 VL 235B A22B Thinking
License
Usage and distribution terms
Nemotron Labs Dory 1.0 (4B) is licensed under OpenMDW License v1.1, 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.
OpenMDW License v1.1
Open weights
Apache 2.0
Open weights
Release Timeline
When each model was launched
Nemotron Labs Dory 1.0 (4B) was released on 2026-10-16, while Qwen3 VL 235B A22B Thinking was released on 2025-09-22.
Nemotron Labs Dory 1.0 (4B) is 13 months newer than Qwen3 VL 235B A22B Thinking.
Oct 16, 2026
3 days ago
1.1yr newerSep 22, 2025
1.1 years ago
Knowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Outputs Comparison
Judge for yourself.
Run your own prompts against Nemotron Labs Dory 1.0 (4B) and Qwen3 VL 235B A22B Thinking side-by-side, then vote on the output you prefer.
FAQ
Common questions about Nemotron Labs Dory 1.0 (4B) vs Qwen3 VL 235B A22B Thinking.