Compare / Nemotron Labs Dory 1.0 4B vs Qwen3.5 4B

Nemotron Labs Dory 1.0 4B vs Qwen3.5 4B

Updated November 2026

Verdict

Nemotron Labs Dory 1.0 4B scores higher on the Small LM Index: 60.0 vs 57.8, although their likely ranges overlap, so the lead is not certain. On the 2 benchmarks both labs report, Nemotron Labs Dory 1.0 4B wins 1 and Qwen3.5 4B wins 1. Both need about 3.4 GB of memory at 4-bit quantization. Neither model has a hosted API on OpenRouter, so you would run both yourself.

Pick Nemotron Labs Dory 1.0 4B if…

  • you want the strongest model overall
  • you need precise instruction following

Pick Qwen3.5 4B if…

  • you need a permissive license (Apache-2.0)
  • you need image input
  • you want the more widely used model (more quantized builds and community support)

Specifications

Nemotron Labs Dory 1.0 4BQwen3.5 4B
Small LM Index60.0 (likely 58–62)57.8 (likely 52–63)
LabNVIDIA · United StatesAlibaba (Qwen) · China
Released2026-10-162026-03-02
Parameters4B (dense)4B (dense)
Memory at 4-bit~3.4 GB~3.3 GB
Context window262K tokens262K tokens
Inputtexttext, image, video
ReasoningAlways thinksHybrid (thinking on/off)
LicenseOpenMDW-1.1Apache-2.0
API price / 1M tokensSelf-host onlySelf-host only
Hugging Face downloads (30 days)10.5K6.1M

Benchmarks

Higher is better. Bold marks the winner where both labs report a score. ≈ marks the index model's estimate for a score that wasn't reported, ✓ an independent measurement and * a score measured by another lab.

BenchmarkNemotron Labs Dory 1.0 4BQwen3.5 4B
MMLU-Pro Knowledge≈ 7979.1
GPQA Diamond Knowledge69.276.2
Humanity's Last Exam Reasoning8.3≈ 9
LiveCodeBench Coding≈ 6955.8
SWE-bench Verified Coding50.3≈ 42
Terminal-Bench Agentic12.5—
τ²-Bench Agentic—79.9
IFBench Instruction following74.359.2
MMMU-Pro Vision—65.4✓
AA-LCR Long context63.0—

Scores are mostly reported by each lab with its own settings, so small gaps are noise. See the methodology. Open in the interactive comparison to add more models.

Questions

Which is better, Nemotron Labs Dory 1.0 4B or Qwen3.5 4B?

Nemotron Labs Dory 1.0 4B scores higher on the Small LM Index: 60.0 vs 57.8, although their likely ranges overlap, so the lead is not certain. On the 2 benchmarks both labs report, Nemotron Labs Dory 1.0 4B wins 1 and Qwen3.5 4B wins 1.

Which is cheaper to run?

Neither model has a hosted API on OpenRouter, so you would run both yourself. Both need about 3.4 GB of memory at 4-bit quantization.

Which has the longer context window?

Both have a 262K-token context window.

Can I use Nemotron Labs Dory 1.0 4B and Qwen3.5 4B commercially?

Nemotron Labs Dory 1.0 4B is released under OpenMDW-1.1 and Qwen3.5 4B under Apache-2.0. Apache 2.0 and MIT allow commercial use; other licenses can add conditions, so read the license before shipping a product.

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