Nemotron Labs Dory 1.0 (4B) vs Qwen3.6-27B
Qwen3.6-27B leads the LLM Stats Score 35.3 to 22.1.
NVIDIA · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
Qwen3.6-27B leads the overall LLM Stats Score 35.3 to 22.1, ranking #104 overall.
In the 3 individual benchmarks reported for both models, Qwen3.6-27B wins 3; 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 Qwen3.6-27B
- overall performance matters — it scores 35.3 and ranks #104 on LLM Stats
- your work emphasizes reasoning and coding — it leads those capability indexes
- you value its reported benchmark strengths — it wins 3 of 3 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) · 44 for Qwen3.6-27B
Nemotron Labs Dory 1.0 (4B) outperforms in 0 benchmarks, while Qwen3.6-27B is better at 3 benchmarks (GPQA, Humanity's Last Exam, SWE-Bench Verified).
Qwen3.6-27B significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Model Size
Parameter count comparison
Qwen3.6-27B has 23.8B more parameters than Nemotron Labs Dory 1.0 (4B), making it 594.5% larger.
Context Window
Maximum input and output token capacity
Only Qwen3.6-27B specifies input context (262,144 tokens). Only Qwen3.6-27B specifies output context (262,144 tokens).
Input capabilities
Documented input modalities across available providers
Qwen3.6-27B supports multimodal inputs, whereas Nemotron Labs Dory 1.0 (4B) does not.
Qwen3.6-27B can handle both text and other forms of data like images, making it suitable for multimodal applications.
Nemotron Labs Dory 1.0 (4B)
Qwen3.6-27B
License
Usage and distribution terms
Nemotron Labs Dory 1.0 (4B) is licensed under OpenMDW License v1.1, while Qwen3.6-27B 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 Qwen3.6-27B was released on 2026-04-21.
Nemotron Labs Dory 1.0 (4B) is 6 months newer than Qwen3.6-27B.
Oct 16, 2026
3 days ago
5mo newerApr 21, 2026
6 months 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 Qwen3.6-27B side-by-side, then vote on the output you prefer.
FAQ
Common questions about Nemotron Labs Dory 1.0 (4B) vs Qwen3.6-27B.
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