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Nemotron Labs Dory 1.0 (4B) vs Qwen3 Max Thinking

Qwen3 Max Thinking leads the LLM Stats Score 32.6 to 21.8.

NVIDIA · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

Qwen3 Max Thinking leads the overall LLM Stats Score 32.6 to 21.8, ranking #125 overall.

The models split the 4 individual benchmarks reported for both models evenly.

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
  • you need open weights you can self-host or fine-tune

Choose Qwen3 Max Thinking

  • overall performance matters — it scores 32.6 and ranks #125 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes

At a glance

The differences that matter most.

Nemotron Labs Dory 1.0 (4B)
NVIDIA
Qwen3 Max Thinking
Alibaba Cloud / Qwen Team
Core performance indexes
LLM Stats Score
21.8
#203
32.6
#125
Reasoning
19.6
#216
33.7
#113
Coding
2.8
#244
16.0
#147
Agents
-1.8
#203
9.9
#142
Cost, coverage & limits
Benchmark wins
2 of 4
2 of 4
Input price
— / M
$1.20 / M
Output price
— / M
$6.00 / M
Context window
—
256,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

2 shared
Index
Nemotron Labs Dory 1.0 (4B)
Qwen3 Max Thinking
Math
12.1#246
31.6#71
Tool use
-2.2#206
3.2#184
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

10 reported for Nemotron Labs Dory 1.0 (4B) · 34 for Qwen3 Max Thinking

4 shared

Nemotron Labs Dory 1.0 (4B) outperforms in 2 benchmarks (AA-LCR, IFBench), while Qwen3 Max Thinking is better at 2 benchmarks (GPQA, SWE-Bench Verified).

Both models are evenly matched across the benchmarks.

Sat Oct 24 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

996.0B diff

Qwen3 Max Thinking has 996.0B more parameters than Nemotron Labs Dory 1.0 (4B), making it 24900.0% larger.

NVIDIA
Nemotron Labs Dory 1.0 (4B)
4.0Bparameters
Alibaba Cloud / Qwen Team
Qwen3 Max Thinking
1.0Tparameters
4.0B
Nemotron Labs Dory 1.0 (4B)
1000.0B
Qwen3 Max Thinking

Context Window

Maximum input and output token capacity

Only Qwen3 Max Thinking specifies input context (256,000 tokens). Only Qwen3 Max Thinking specifies output context (256,000 tokens).

NVIDIA
Nemotron Labs Dory 1.0 (4B)
Input- tokens
Output- tokens
Alibaba Cloud / Qwen Team
Qwen3 Max Thinking
Input256,000 tokens
Output256,000 tokens
Sat Oct 24 2026 • llm-stats.com

License

Usage and distribution terms

Nemotron Labs Dory 1.0 (4B) is licensed under OpenMDW License v1.1, while Qwen3 Max Thinking uses a proprietary license.

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 Max Thinking

Proprietary

Closed source

Release Timeline

When each model was launched

Nemotron Labs Dory 1.0 (4B) was released on 2026-10-16, while Qwen3 Max Thinking was released on 2026-02-13.

Nemotron Labs Dory 1.0 (4B) is 8 months newer than Qwen3 Max Thinking.

Nemotron Labs Dory 1.0 (4B)

Oct 16, 2026

6 days ago

8mo newer
Qwen3 Max Thinking

Feb 13, 2026

8 months 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 Max Thinking side-by-side, then vote on the output you prefer.

Nemotron Labs Dory 1.0 (4B)
✓ Preferred
Qwen3 Max Thinking
Open in Playground

FAQ

Common questions about Nemotron Labs Dory 1.0 (4B) vs Qwen3 Max Thinking.

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

Qwen3 Max Thinking leads the LLM Stats Score 32.6 to 21.8. Nemotron Labs Dory 1.0 (4B) is made by NVIDIA and Qwen3 Max 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 Max 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 Max Thinking scores C-Eval: 93.7%, IFEval: 93.4%, AIME 2026: 93.3%, MMLU-Redux: 92.8%, GPQA: 87.4%.

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

Nemotron Labs Dory 1.0 (4B) supports an unknown number of tokens and Qwen3 Max Thinking supports 256K 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 Max Thinking?

Key differences include LLM Stats Score (21.8 vs 32.6), licensing (OpenMDW License v1.1 vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes Nemotron Labs Dory 1.0 (4B) and Qwen3 Max Thinking?

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

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