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Nemotron Labs Dory 1.0 (4B) vs Sakana Namazu

Sakana Namazu leads the LLM Stats Score 41.7 to 21.8.

NVIDIA · Sakana AI · Updated for 2026

Which is better?

Sakana Namazu leads the overall LLM Stats Score 41.7 to 21.8, ranking #67 overall.

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 Sakana Namazu

  • overall performance matters — it scores 41.7 and ranks #67 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes

At a glance

The differences that matter most.

Nemotron Labs Dory 1.0 (4B)
NVIDIA
Sakana Namazu
Sakana AI
Core performance indexes
LLM Stats Score
21.8
#203
41.7
#67
Reasoning
19.6
#216
41.5
#61
Cost, coverage & limits
Benchmark wins
—
—
Input price
— / M
$0.95 / M
Output price
— / M
$4.00 / M
Context window
—
256,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
Nemotron Labs Dory 1.0 (4B)
Sakana Namazu
Math
12.1#246
37.9#28
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

10 reported for Nemotron Labs Dory 1.0 (4B) · 3 for Sakana Namazu

No common benchmarks found

Nemotron Labs Dory 1.0 (4B) and Sakana Namazudon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Human preference

Blind head-to-head votes and playground preference scores

Context Window

Maximum input and output token capacity

Only Sakana Namazu specifies input context (256,000 tokens). Only Sakana Namazu specifies output context (256,000 tokens).

NVIDIA
Nemotron Labs Dory 1.0 (4B)
Input- tokens
Output- tokens
Sakana AI
Sakana Namazu
Input256,000 tokens
Output256,000 tokens
Fri Oct 23 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Sakana Namazu supports multimodal inputs, whereas Nemotron Labs Dory 1.0 (4B) does not.

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

Nemotron Labs Dory 1.0 (4B)

Text
Images
Audio
Video

Sakana Namazu

Text
Images
Audio
Video

License

Usage and distribution terms

Nemotron Labs Dory 1.0 (4B) is licensed under OpenMDW License v1.1, while Sakana Namazu 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

Sakana Namazu

Proprietary

Closed source

Release Timeline

When each model was launched

Nemotron Labs Dory 1.0 (4B) was released on 2026-10-16, while Sakana Namazu was released on 2026-08-03.

Nemotron Labs Dory 1.0 (4B) is 2 months newer than Sakana Namazu.

Nemotron Labs Dory 1.0 (4B)

Oct 16, 2026

3 days ago

2mo newer
Sakana Namazu

Aug 3, 2026

2 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 Sakana Namazu side-by-side, then vote on the output you prefer.

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

FAQ

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

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

Sakana Namazu leads the LLM Stats Score 41.7 to 21.8. Nemotron Labs Dory 1.0 (4B) is made by NVIDIA and Sakana Namazu is made by Sakana AI. 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 Sakana Namazu 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%. Sakana Namazu scores AIME 2026: 96.7%, LiveCodeBench v6: 90.3%, MMLU-Pro: 90.3%.

What are the context window sizes for Nemotron Labs Dory 1.0 (4B) and Sakana Namazu?

Nemotron Labs Dory 1.0 (4B) supports an unknown number of tokens and Sakana Namazu 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 Sakana Namazu?

Key differences include LLM Stats Score (21.8 vs 41.7), multimodal support (no vs yes), 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 Sakana Namazu?

Nemotron Labs Dory 1.0 (4B) is developed by NVIDIA and Sakana Namazu is developed by Sakana AI.

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