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Muse Glimmer-30B vs Sakana Namazu

Sakana Namazu leads the LLM Stats Score 43.2 to 35.5.

Meta · Sakana AI · Updated for 2026

Which is better?

Sakana Namazu leads the overall LLM Stats Score 43.2 to 35.5, ranking #37 overall.

In the 1 individual benchmarks reported for both models, Sakana Namazu wins 1; 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 Muse Glimmer-30B

  • 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

  • overall performance matters — it scores 43.2 and ranks #37 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 1 of 1 exact shared results

At a glance

The differences that matter most.

Core performance indexes
35.5
#76
43.2
#37
34.7
#77
43.0
#36
Cost, coverage & limits
Benchmark wins
0 of 1
1 of 1
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
Muse Glimmer-30B
Sakana Namazu
28.3#84
38.9#22
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

25 reported for Muse Glimmer-30B · 3 for Sakana Namazu

1 shared

Muse Glimmer-30B outperforms in 0 benchmarks, while Sakana Namazu is better at 1 benchmark (AIME 2026).

Sakana Namazu significantly outperforms across most benchmarks.

Fri Aug 28 2026 • llm-stats.com

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).

Meta
Muse Glimmer-30B
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

Both Muse Glimmer-30B and Sakana Namazu support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

Muse Glimmer-30B

Text
Images
Audio
Video

Sakana Namazu

Text
Images
Audio
Video

License

Usage and distribution terms

Muse Glimmer-30B 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.

Muse Glimmer-30B

Apache 2.0

Open weights

Sakana Namazu

Proprietary

Closed source

Release Timeline

When each model was launched

Muse Glimmer-30B was released on 2026-08-10, while Sakana Namazu was released on 2026-08-03.

Muse Glimmer-30B is 0 month newer than Sakana Namazu.

Muse Glimmer-30B

Aug 10, 2026

2 weeks ago

1w newer
Sakana Namazu

Aug 3, 2026

3 weeks ago

Knowledge Cutoff

When training data ends

Muse Glimmer-30B has a documented knowledge cutoff of 2026-01-04, while Sakana Namazu's cutoff date is not specified.

We can confirm Muse Glimmer-30B's training data extends to 2026-01-04, but cannot make a direct comparison without Sakana Namazu's cutoff date.

Muse Glimmer-30B

Jan 2026

Sakana Namazu

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Judge for yourself.

Run your own prompts against Muse Glimmer-30B and Sakana Namazu side-by-side, then vote on the output you prefer.

Muse Glimmer-30B
✓ Preferred
Sakana Namazu
Open in Playground

FAQ

Common questions about Muse Glimmer-30B vs Sakana Namazu.

Which is better, Muse Glimmer-30B or Sakana Namazu?

Sakana Namazu leads the LLM Stats Score 43.2 to 35.5. Muse Glimmer-30B is made by Meta 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 Muse Glimmer-30B compare to Sakana Namazu in benchmarks?

Muse Glimmer-30B scores AIME 2026: 94.7%, Siren AgentDojo Utility: 94.2%, GPQA: 83.5%, AA-LCR: 80.0%, CharXiv-R: 78.8%. Sakana Namazu scores AIME 2026: 96.7%, LiveCodeBench v6: 90.3%, MMLU-Pro: 90.3%.

What are the context window sizes for Muse Glimmer-30B and Sakana Namazu?

Muse Glimmer-30B 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 Muse Glimmer-30B and Sakana Namazu?

Key differences include LLM Stats Score (35.5 vs 43.2), licensing (Apache 2.0 vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes Muse Glimmer-30B and Sakana Namazu?

Muse Glimmer-30B is developed by Meta and Sakana Namazu is developed by Sakana AI.