Hy4 preview vs Sakana Namazu
Hy4 preview and Sakana Namazu are closely matched at 51.0 and 42.1 on the LLM Stats Score.
Tencent · Sakana AI · Updated for 2026
Which is better?
Hy4 preview and Sakana Namazu are closely matched on the overall LLM Stats Score at 51.0 and 42.1.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose Hy4 preview
- you want the most recent training data — it shipped Aug 2026
- you need open weights you can self-host or fine-tune
Choose Sakana Namazu
- you want predictable pricing at $0.95/M input and $4.00/M output
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
32 reported for Hy4 preview · 3 for Sakana Namazu
Hy4 preview 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).
Input capabilities
Documented input modalities across available providers
Sakana Namazu supports multimodal inputs, whereas Hy4 preview does not.
Sakana Namazu can handle both text and other forms of data like images, making it suitable for multimodal applications.
Hy4 preview
Sakana Namazu
License
Usage and distribution terms
Hy4 preview is licensed under Apache 2.0, while Sakana Namazu uses a proprietary license.
License differences may affect how you can use these models in commercial or open-source projects.
Apache 2.0
Open weights
Proprietary
Closed source
Release Timeline
When each model was launched
Hy4 preview was released on 2026-08-28, while Sakana Namazu was released on 2026-08-03.
Hy4 preview is 1 month newer than Sakana Namazu.
Aug 28, 2026
3 weeks ago
3w newerAug 3, 2026
1 months ago
Knowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Outputs Comparison
Judge for yourself.
Run your own prompts against Hy4 preview and Sakana Namazu side-by-side, then vote on the output you prefer.
FAQ
Common questions about Hy4 preview vs Sakana Namazu.