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Nemotron Labs Dory 1.0 (4B) vs Qwen3-Next-80B-A3B-Thinking

Nemotron Labs Dory 1.0 (4B) and Qwen3-Next-80B-A3B-Thinking are closely matched at 22.1 and 23.6 on the LLM Stats Score.

NVIDIA · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

Nemotron Labs Dory 1.0 (4B) and Qwen3-Next-80B-A3B-Thinking are closely matched on the overall LLM Stats Score at 22.1 and 23.6.

In the 1 individual benchmarks reported for both models, Qwen3-Next-80B-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)

  • you want the most recent training data — it shipped Oct 2026

Choose Qwen3-Next-80B-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-Next-80B-A3B-Thinking
Alibaba Cloud / Qwen Team
Core performance indexes
LLM Stats Score
22.1
#202
23.6
#193
Reasoning
19.8
#213
24.3
#178
Agents
-0.7
#198
12.2
#125
Cost, coverage & limits
Benchmark wins
0 of 1
1 of 1
Input price
— / M
$0.15 / M
Output price
— / M
$1.50 / M
Context window
—
65,536

Capability indexes

Additional strengths measured across groups of related public benchmarks

2 shared
Index
Nemotron Labs Dory 1.0 (4B)
Qwen3-Next-80B-A3B-Thinking
Math
12.2#245
26.5#108
Tool use
-2.1#205
11.0#134
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

10 reported for Nemotron Labs Dory 1.0 (4B) · 23 for Qwen3-Next-80B-A3B-Thinking

1 shared

Nemotron Labs Dory 1.0 (4B) outperforms in 0 benchmarks, while Qwen3-Next-80B-A3B-Thinking is better at 1 benchmark (GPQA).

Qwen3-Next-80B-A3B-Thinking significantly outperforms across most benchmarks.

Tue Oct 20 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

76.0B diff

Qwen3-Next-80B-A3B-Thinking has 76.0B more parameters than Nemotron Labs Dory 1.0 (4B), making it 1900.0% larger.

NVIDIA
Nemotron Labs Dory 1.0 (4B)
4.0Bparameters
Alibaba Cloud / Qwen Team
Qwen3-Next-80B-A3B-Thinking
80.0Bparameters
4.0B
Nemotron Labs Dory 1.0 (4B)
80.0B
Qwen3-Next-80B-A3B-Thinking

Context Window

Maximum input and output token capacity

Only Qwen3-Next-80B-A3B-Thinking specifies input context (65,536 tokens). Only Qwen3-Next-80B-A3B-Thinking specifies output context (65,536 tokens).

NVIDIA
Nemotron Labs Dory 1.0 (4B)
Input- tokens
Output- tokens
Alibaba Cloud / Qwen Team
Qwen3-Next-80B-A3B-Thinking
Input65,536 tokens
Output65,536 tokens
Tue Oct 20 2026 • llm-stats.com

License

Usage and distribution terms

Nemotron Labs Dory 1.0 (4B) is licensed under OpenMDW License v1.1, while Qwen3-Next-80B-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-Next-80B-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-Next-80B-A3B-Thinking was released on 2025-09-10.

Nemotron Labs Dory 1.0 (4B) is 13 months newer than Qwen3-Next-80B-A3B-Thinking.

Nemotron Labs Dory 1.0 (4B)

Oct 16, 2026

3 days ago

1.1yr newer
Qwen3-Next-80B-A3B-Thinking

Sep 10, 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-Next-80B-A3B-Thinking side-by-side, then vote on the output you prefer.

Nemotron Labs Dory 1.0 (4B)
✓ Preferred
Qwen3-Next-80B-A3B-Thinking
Open in Playground

FAQ

Common questions about Nemotron Labs Dory 1.0 (4B) vs Qwen3-Next-80B-A3B-Thinking.

Which is better, Nemotron Labs Dory 1.0 (4B) or Qwen3-Next-80B-A3B-Thinking?

Nemotron Labs Dory 1.0 (4B) and Qwen3-Next-80B-A3B-Thinking are closely matched on the LLM Stats Score at 22.1 and 23.6. Nemotron Labs Dory 1.0 (4B) is made by NVIDIA and Qwen3-Next-80B-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-Next-80B-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-Next-80B-A3B-Thinking scores MMLU-Redux: 92.5%, IFEval: 88.9%, AIME 2025: 87.8%, WritingBench: 84.6%, MMLU-Pro: 82.7%.

What are the context window sizes for Nemotron Labs Dory 1.0 (4B) and Qwen3-Next-80B-A3B-Thinking?

Nemotron Labs Dory 1.0 (4B) supports an unknown number of tokens and Qwen3-Next-80B-A3B-Thinking supports 66K 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-Next-80B-A3B-Thinking?

Key differences include LLM Stats Score (22.1 vs 23.6), 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-Next-80B-A3B-Thinking?

Nemotron Labs Dory 1.0 (4B) is developed by NVIDIA and Qwen3-Next-80B-A3B-Thinking is developed by Alibaba Cloud / Qwen Team.

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