Muse Spark Open vs Sakana Namazu
Muse Spark Open and Sakana Namazu are closely matched at 45.3 and 41.7 on the LLM Stats Score. Sakana Namazu is 1.2x cheaper per token.
Meta · Sakana AI · Updated for 2026
Which is better?
Muse Spark Open and Sakana Namazu are closely matched on the overall LLM Stats Score at 45.3 and 41.7.
On price, Sakana Namazu is roughly 1.2x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Muse Spark Open also accepts a larger context window (1,048,576 input tokens), making it the stronger choice for long documents and large codebases.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose Muse Spark Open
- you process long inputs — it offers a 1,048,576 token context window
- 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
- cost matters — it's about 1.2x cheaper per token
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
17 reported for Muse Spark Open · 3 for Sakana Namazu
Muse Spark Open 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
Pricing Analysis
Price comparison per million tokens
For input processing, Muse Spark Open ($1.25/1M tokens) is 1.3x more expensive than Sakana Namazu ($0.95/1M tokens).
For output processing, Muse Spark Open ($4.25/1M tokens) is 1.1x more expensive than Sakana Namazu ($4.00/1M tokens).
In conclusion, Muse Spark Open is more expensive than Sakana Namazu.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Muse Spark Open accepts 1,048,576 input tokens compared to Sakana Namazu's 256,000 tokens. Muse Spark Open can generate longer responses up to 1,048,576 tokens, while Sakana Namazu is limited to 256,000 tokens.
Input capabilities
Documented input modalities across available providers
Both Muse Spark Open and Sakana Namazu support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Muse Spark Open
Sakana Namazu
License
Usage and distribution terms
Muse Spark Open is licensed under Muse Model License, while Sakana Namazu uses a proprietary license.
License differences may affect how you can use these models in commercial or open-source projects.
Muse Model License
Open weights
Proprietary
Closed source
Release Timeline
When each model was launched
Muse Spark Open was released on 2026-10-15, while Sakana Namazu was released on 2026-08-03.
Muse Spark Open is 2 months newer than Sakana Namazu.
Oct 15, 2026
4 days ago
2mo newerAug 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.
Provider Availability
Muse Spark Open is available from Together. Sakana Namazu is available from Sakana AI.
Muse Spark Open
Sakana Namazu
Outputs Comparison
Judge for yourself.
Run your own prompts against Muse Spark Open and Sakana Namazu side-by-side, then vote on the output you prefer.
FAQ
Common questions about Muse Spark Open vs Sakana Namazu.