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Inkling-Small vs Nemotron Labs Dory 1.0 (4B)

Inkling-Small leads the LLM Stats Score 38.2 to 21.8.

Thinking Machines Lab · NVIDIA · Updated for 2026

Which is better?

Inkling-Small leads the overall LLM Stats Score 38.2 to 21.8, ranking #83 overall.

In the 8 individual benchmarks reported for both models, Inkling-Small wins 8; 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 Inkling-Small

  • overall performance matters — it scores 38.2 and ranks #83 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 8 of 8 exact shared results

Choose Nemotron Labs Dory 1.0 (4B)

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

At a glance

The differences that matter most.

Core performance indexes
38.2
#83
21.8
#203
37.6
#84
19.6
#216
28.2
#74
2.8
#244
22.5
#77
-1.8
#203
Cost, coverage & limits
Benchmark wins
8 of 8
0 of 8
Input price
$0.30 / M
— / M
Output price
$1.20 / M
— / M
Context window
256,000
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

2 shared
Index
Inkling-Small
Nemotron Labs Dory 1.0 (4B)
33.0#60
12.1#246
18.5#80
-2.2#206
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

24 reported for Inkling-Small · 10 for Nemotron Labs Dory 1.0 (4B)

8 shared

Inkling-Small outperforms in 8 benchmarks (GDPval-AA, GPQA, Humanity's Last Exam, IFBench, SciCode, SWE-Bench Verified, Tau3 Banking, Terminal-Bench 2.1), while Nemotron Labs Dory 1.0 (4B) is better at 0 benchmarks.

Inkling-Small 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

272.0B diff

Inkling-Small has 272.0B more parameters than Nemotron Labs Dory 1.0 (4B), making it 6800.0% larger.

Thinking Machines Lab
Inkling-Small
276.0Bparameters
NVIDIA
Nemotron Labs Dory 1.0 (4B)
4.0Bparameters
276.0B
Inkling-Small
4.0B
Nemotron Labs Dory 1.0 (4B)

Context Window

Maximum input and output token capacity

Only Inkling-Small specifies input context (256,000 tokens). Only Inkling-Small specifies output context (256,000 tokens).

Thinking Machines Lab
Inkling-Small
Input256,000 tokens
Output256,000 tokens
NVIDIA
Nemotron Labs Dory 1.0 (4B)
Input- tokens
Output- tokens
Fri Oct 23 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Inkling-Small supports multimodal inputs, whereas Nemotron Labs Dory 1.0 (4B) does not.

Inkling-Small can handle both text and other forms of data like images, making it suitable for multimodal applications.

Inkling-Small

Text
Images
Audio
Video

Nemotron Labs Dory 1.0 (4B)

Text
Images
Audio
Video

License

Usage and distribution terms

Inkling-Small is licensed under Apache 2.0, while Nemotron Labs Dory 1.0 (4B) uses OpenMDW License v1.1.

License differences may affect how you can use these models in commercial or open-source projects.

Inkling-Small

Apache 2.0

Open weights

Nemotron Labs Dory 1.0 (4B)

OpenMDW License v1.1

Open weights

Release Timeline

When each model was launched

Inkling-Small was released on 2026-07-30, while Nemotron Labs Dory 1.0 (4B) was released on 2026-10-16.

Nemotron Labs Dory 1.0 (4B) is 3 months newer than Inkling-Small.

Inkling-Small

Jul 30, 2026

2 months ago

Nemotron Labs Dory 1.0 (4B)

Oct 16, 2026

6 days ago

2mo newer

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 Inkling-Small and Nemotron Labs Dory 1.0 (4B) side-by-side, then vote on the output you prefer.

Inkling-Small
✓ Preferred
Nemotron Labs Dory 1.0 (4B)
Open in Playground

FAQ

Common questions about Inkling-Small vs Nemotron Labs Dory 1.0 (4B).

Which is better, Inkling-Small or Nemotron Labs Dory 1.0 (4B)?

Inkling-Small leads the LLM Stats Score 38.2 to 21.8. Inkling-Small is made by Thinking Machines Lab and Nemotron Labs Dory 1.0 (4B) is made by NVIDIA. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does Inkling-Small compare to Nemotron Labs Dory 1.0 (4B) in benchmarks?

Inkling-Small scores AIME 2026: 95.5%, VoiceBench Avg: 90.1%, GPQA: 89.5%, Global-MMLU-Lite: 86.7%, ARC-AGI: 84.0%. 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%.

What are the context window sizes for Inkling-Small and Nemotron Labs Dory 1.0 (4B)?

Inkling-Small supports 256K tokens and Nemotron Labs Dory 1.0 (4B) supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Inkling-Small and Nemotron Labs Dory 1.0 (4B)?

Key differences include LLM Stats Score (38.2 vs 21.8), multimodal support (yes vs no), licensing (Apache 2.0 vs OpenMDW License v1.1). See the full comparison above for benchmark-by-benchmark results.

Who makes Inkling-Small and Nemotron Labs Dory 1.0 (4B)?

Inkling-Small is developed by Thinking Machines Lab and Nemotron Labs Dory 1.0 (4B) is developed by NVIDIA.