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Muse Wonder Full vs Sakana Namazu

Muse Wonder Full and Sakana Namazu are closely matched at 52.6 and 41.7 on the LLM Stats Score.

Meta · Sakana AI · Updated for 2026

Which is better?

Muse Wonder Full and Sakana Namazu are closely matched on the overall LLM Stats Score at 52.6 and 41.7.

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

Choose Muse Wonder Full

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

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.

Core performance indexes
52.6
#12
41.7
#67
41.2
#62
41.5
#61
Cost, coverage & limits
Benchmark wins
—
—
Input price
— / M
$0.95 / M
Output price
— / M
$4.00 / M
Context window
—
256,000

Individual benchmarks

16 reported for Muse Wonder Full · 3 for Sakana Namazu

No common benchmarks found

Muse Wonder Full 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).

Meta
Muse Wonder Full
Input- tokens
Output- tokens
Sakana AI
Sakana Namazu
Input256,000 tokens
Output256,000 tokens
Sun Oct 25 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Muse Wonder Full and Sakana Namazu support multimodal inputs.

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

Muse Wonder Full

Text
Images
Audio
Video

Sakana Namazu

Text
Images
Audio
Video

License

Usage and distribution terms

Both models are licensed under proprietary licenses.

Both models have usage restrictions defined by their respective organizations.

Muse Wonder Full

Proprietary

Closed source

Sakana Namazu

Proprietary

Closed source

Release Timeline

When each model was launched

Muse Wonder Full was released on 2026-10-12, while Sakana Namazu was released on 2026-08-03.

Muse Wonder Full is 2 months newer than Sakana Namazu.

Muse Wonder Full

Oct 12, 2026

1 weeks 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 Muse Wonder Full and Sakana Namazu side-by-side, then vote on the output you prefer.

Muse Wonder Full
✓ Preferred
Sakana Namazu
Open in Playground

FAQ

Common questions about Muse Wonder Full vs Sakana Namazu.

Which is better, Muse Wonder Full or Sakana Namazu?

Muse Wonder Full and Sakana Namazu are closely matched on the LLM Stats Score at 52.6 and 41.7. Muse Wonder Full 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 Wonder Full compare to Sakana Namazu in benchmarks?

Muse Wonder Full scores MemoryBench: 85.5%, DeepSWE 1.1: 79.0%, OSWorld 2.1 (partial): 78.4%, JobBench: 75.3%, HealthBench Professional: 62.3%. Sakana Namazu scores AIME 2026: 96.7%, LiveCodeBench v6: 90.3%, MMLU-Pro: 90.3%.

What are the context window sizes for Muse Wonder Full and Sakana Namazu?

Muse Wonder Full 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 Wonder Full and Sakana Namazu?

Key differences include LLM Stats Score (52.6 vs 41.7). See the full comparison above for benchmark-by-benchmark results.

Who makes Muse Wonder Full and Sakana Namazu?

Muse Wonder Full is developed by Meta and Sakana Namazu is developed by Sakana AI.