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Inkling vs Nemotron Labs Dory 1.0 (4B)

Inkling leads the LLM Stats Score 37.1 to 21.8.

Thinking Machines Lab · NVIDIA · Updated for 2026

Which is better?

Inkling leads the overall LLM Stats Score 37.1 to 21.8, ranking #86 overall.

In the 5 individual benchmarks reported for both models, Inkling wins 5; 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

  • overall performance matters — it scores 37.1 and ranks #86 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 5 of 5 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.

Inkling
Thinking Machines Lab
Nemotron Labs Dory 1.0 (4B)
NVIDIA
Core performance indexes
LLM Stats Score
37.1
#86
21.8
#203
Reasoning
36.8
#90
19.6
#216
Coding
26.0
#83
2.8
#244
Agents
19.9
#82
-1.8
#203
Cost, coverage & limits
Benchmark wins
5 of 5
0 of 5
Input price
$0.95 / M
— / M
Output price
$4.05 / M
— / M
Context window
524,288
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

2 shared
Index
Inkling
Nemotron Labs Dory 1.0 (4B)
Math
28.4#98
12.1#246
Tool use
16.6#95
-2.2#206
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

16 reported for Inkling · 10 for Nemotron Labs Dory 1.0 (4B)

5 shared

Inkling outperforms in 5 benchmarks (GDPval-AA, IFBench, SWE-Bench Verified, Tau3 Banking, Terminal-Bench 2.1), while Nemotron Labs Dory 1.0 (4B) is better at 0 benchmarks.

Inkling 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

971.0B diff

Inkling has 971.0B more parameters than Nemotron Labs Dory 1.0 (4B), making it 24275.0% larger.

Thinking Machines Lab
Inkling
975.0Bparameters
NVIDIA
Nemotron Labs Dory 1.0 (4B)
4.0Bparameters
975.0B
Inkling
4.0B
Nemotron Labs Dory 1.0 (4B)

Context Window

Maximum input and output token capacity

Only Inkling specifies input context (524,288 tokens). Only Inkling specifies output context (524,288 tokens).

Thinking Machines Lab
Inkling
Input524,288 tokens
Output524,288 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 supports multimodal inputs, whereas Nemotron Labs Dory 1.0 (4B) does not.

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

Inkling

Text
Images
Audio
Video

Nemotron Labs Dory 1.0 (4B)

Text
Images
Audio
Video

License

Usage and distribution terms

Inkling 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

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 was released on 2026-07-21, 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.

Inkling

Jul 21, 2026

3 months ago

Nemotron Labs Dory 1.0 (4B)

Oct 16, 2026

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

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

FAQ

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

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

Inkling leads the LLM Stats Score 37.1 to 21.8. Inkling 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 compare to Nemotron Labs Dory 1.0 (4B) in benchmarks?

Inkling scores AIME 2026: 97.1%, VoiceBench Avg: 91.4%, Global-MMLU-Lite: 88.7%, IFBench: 79.8%, CharXiv-R: 78.1%. 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 and Nemotron Labs Dory 1.0 (4B)?

Inkling supports 524K 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 and Nemotron Labs Dory 1.0 (4B)?

Key differences include LLM Stats Score (37.1 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 and Nemotron Labs Dory 1.0 (4B)?

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

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