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Nemotron Labs Dory 1.0 (4B) vs Qwen3 VL 30B A3B Thinking

Nemotron Labs Dory 1.0 (4B) leads the LLM Stats Score 21.8 to 17.8.

NVIDIA · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

Nemotron Labs Dory 1.0 (4B) leads the overall LLM Stats Score 21.8 to 17.8, ranking #203 overall.

In the 1 individual benchmarks reported for both models, Qwen3 VL 30B A3B 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)

  • overall performance matters — it scores 21.8 and ranks #203 on LLM Stats
  • you want the most recent training data — it shipped Oct 2026

Choose Qwen3 VL 30B A3B Thinking

  • you value its reported benchmark strengths — it wins 1 of 1 exact shared results

At a glance

The differences that matter most.

Nemotron Labs Dory 1.0 (4B)
NVIDIA
Qwen3 VL 30B A3B Thinking
Alibaba Cloud / Qwen Team
Core performance indexes
LLM Stats Score
21.8
#203
17.8
#239
Reasoning
19.6
#216
19.1
#225
Agents
-1.8
#203
7.0
#160
Cost, coverage & limits
Benchmark wins
0 of 1
1 of 1
Input price
— / M
$0.20 / M
Output price
— / M
$0.99 / M
Context window
—
131,072

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
Nemotron Labs Dory 1.0 (4B)
Qwen3 VL 30B A3B Thinking
Math
12.1#246
22.3#149
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

10 reported for Nemotron Labs Dory 1.0 (4B) · 50 for Qwen3 VL 30B A3B Thinking

1 shared

Nemotron Labs Dory 1.0 (4B) outperforms in 0 benchmarks, while Qwen3 VL 30B A3B Thinking is better at 1 benchmark (GPQA).

Qwen3 VL 30B A3B Thinking significantly outperforms across most benchmarks.

Fri Oct 23 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

27.0B diff

Qwen3 VL 30B A3B Thinking has 27.0B more parameters than Nemotron Labs Dory 1.0 (4B), making it 675.0% larger.

NVIDIA
Nemotron Labs Dory 1.0 (4B)
4.0Bparameters
Alibaba Cloud / Qwen Team
Qwen3 VL 30B A3B Thinking
31.0Bparameters
4.0B
Nemotron Labs Dory 1.0 (4B)
31.0B
Qwen3 VL 30B A3B Thinking

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).

NVIDIA
Nemotron Labs Dory 1.0 (4B)
Input- tokens
Output- tokens
Alibaba Cloud / Qwen Team
Qwen3 VL 30B A3B Thinking
Input131,072 tokens
Output32,768 tokens
Fri Oct 23 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Qwen3 VL 30B A3B Thinking supports multimodal inputs, whereas Nemotron Labs Dory 1.0 (4B) does not.

Qwen3 VL 30B A3B Thinking can handle both text and other forms of data like images, making it suitable for multimodal applications.

Nemotron Labs Dory 1.0 (4B)

Text
Images
Audio
Video

Qwen3 VL 30B A3B Thinking

Text
Images
Audio
Video

License

Usage and distribution terms

Nemotron Labs Dory 1.0 (4B) is licensed under OpenMDW License v1.1, 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.

Nemotron Labs Dory 1.0 (4B)

OpenMDW License v1.1

Open weights

Qwen3 VL 30B A3B Thinking

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 30B A3B Thinking was released on 2025-09-22.

Nemotron Labs Dory 1.0 (4B) is 13 months newer than Qwen3 VL 30B A3B Thinking.

Nemotron Labs Dory 1.0 (4B)

Oct 16, 2026

3 days ago

1.1yr newer
Qwen3 VL 30B A3B Thinking

Sep 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.

No cutoff dates available

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against Nemotron Labs Dory 1.0 (4B) and Qwen3 VL 30B A3B Thinking side-by-side, then vote on the output you prefer.

Nemotron Labs Dory 1.0 (4B)
✓ Preferred
Qwen3 VL 30B A3B Thinking
Open in Playground

FAQ

Common questions about Nemotron Labs Dory 1.0 (4B) vs Qwen3 VL 30B A3B Thinking.

Which is better, Nemotron Labs Dory 1.0 (4B) or Qwen3 VL 30B A3B Thinking?

Nemotron Labs Dory 1.0 (4B) leads the LLM Stats Score 21.8 to 17.8. Nemotron Labs Dory 1.0 (4B) is made by NVIDIA and Qwen3 VL 30B A3B Thinking is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does Nemotron Labs Dory 1.0 (4B) compare to Qwen3 VL 30B A3B Thinking in benchmarks?

Nemotron Labs Dory 1.0 (4B) scores IFBench: 77.9%, GPQA: 72.4%, AA-LCR: 71.0%, SWE-Bench Verified: 59.5%, SciCode: 34.9%. Qwen3 VL 30B A3B Thinking scores DocVQAtest: 95.0%, ScreenSpot: 94.7%, MMLU-Redux: 90.9%, MMBench-V1.1: 88.9%, MMLU: 87.6%.

What are the context window sizes for Nemotron Labs Dory 1.0 (4B) and Qwen3 VL 30B A3B Thinking?

Nemotron Labs Dory 1.0 (4B) supports an unknown number of tokens and Qwen3 VL 30B A3B Thinking supports 131K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Nemotron Labs Dory 1.0 (4B) and Qwen3 VL 30B A3B Thinking?

Key differences include LLM Stats Score (21.8 vs 17.8), multimodal support (no vs yes), licensing (OpenMDW License v1.1 vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Nemotron Labs Dory 1.0 (4B) and Qwen3 VL 30B A3B Thinking?

Nemotron Labs Dory 1.0 (4B) is developed by NVIDIA and Qwen3 VL 30B A3B Thinking is developed by Alibaba Cloud / Qwen Team.

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