The AI arena is free today

Open Superagent

Hy3 vs Sakana Namazu

Hy3 and Sakana Namazu are closely matched at 42.9 and 43.2 on the LLM Stats Score.

Tencent · Sakana AI · Updated for 2026

Which is better?

Hy3 and Sakana Namazu are closely matched on the overall LLM Stats Score at 42.9 and 43.2.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose Hy3

  • you need open weights you can self-host or fine-tune

Choose Sakana Namazu

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

At a glance

The differences that matter most.

Core performance indexes
42.9
#39
43.2
#37
42.9
#37
43.0
#36
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
Hy3
Sakana Namazu
34.6#43
38.9#22
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

31 reported for Hy3 · 3 for Sakana Namazu

No common benchmarks found

Hy3 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).

Tencent
Hy3
Input- tokens
Output- tokens
Sakana AI
Sakana Namazu
Input256,000 tokens
Output256,000 tokens
Fri Aug 28 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Sakana Namazu supports multimodal inputs, whereas Hy3 does not.

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

Hy3

Text
Images
Audio
Video

Sakana Namazu

Text
Images
Audio
Video

License

Usage and distribution terms

Hy3 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.

Hy3

Apache 2.0

Open weights

Sakana Namazu

Proprietary

Closed source

Release Timeline

When each model was launched

Hy3 was released on 2026-07-06, while Sakana Namazu was released on 2026-08-03.

Sakana Namazu is 1 month newer than Hy3.

Hy3

Jul 6, 2026

1 months ago

Sakana Namazu

Aug 3, 2026

3 weeks ago

4w 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?Start an Issue discussion

Judge for yourself.

Run your own prompts against Hy3 and Sakana Namazu side-by-side, then vote on the output you prefer.

Hy3
✓ Preferred
Sakana Namazu
Open in Playground

FAQ

Common questions about Hy3 vs Sakana Namazu.

Which is better, Hy3 or Sakana Namazu?

Hy3 and Sakana Namazu are closely matched on the LLM Stats Score at 42.9 and 43.2. Hy3 is made by Tencent 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 Hy3 compare to Sakana Namazu in benchmarks?

Hy3 scores DeepSearchQA: 91.0%, GPQA: 90.4%, IMO-AnswerBench: 90.0%, BrowseComp: 84.2%, MCP Atlas: 79.1%. Sakana Namazu scores AIME 2026: 96.7%, LiveCodeBench v6: 90.3%, MMLU-Pro: 90.3%.

What are the context window sizes for Hy3 and Sakana Namazu?

Hy3 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 Hy3 and Sakana Namazu?

Key differences include LLM Stats Score (42.9 vs 43.2), multimodal support (no vs yes), licensing (Apache 2.0 vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes Hy3 and Sakana Namazu?

Hy3 is developed by Tencent and Sakana Namazu is developed by Sakana AI.