Muse Spark 1.1 vs Sakana Namazu
Muse Spark 1.1 and Sakana Namazu are closely matched at 51.0 and 43.2 on the LLM Stats Score. Sakana Namazu is 1.2x cheaper per token.
Meta · Sakana AI · Updated for 2026
Which is better?
Muse Spark 1.1 and Sakana Namazu are closely matched on the overall LLM Stats Score at 51.0 and 43.2.
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 1.1 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 1.1
- you process long inputs — it offers a 1,048,576 token context window
Choose Sakana Namazu
- cost matters — it's about 1.2x cheaper per token
- you want the most recent training data — it shipped Aug 2026
At a glance
The differences that matter most.
Individual benchmarks
11 reported for Muse Spark 1.1 · 3 for Sakana Namazu
Muse Spark 1.1 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 1.1 ($1.25/1M tokens) is 1.3x more expensive than Sakana Namazu ($0.95/1M tokens).
For output processing, Muse Spark 1.1 ($4.25/1M tokens) is 1.1x more expensive than Sakana Namazu ($4.00/1M tokens).
In conclusion, Muse Spark 1.1 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 1.1 accepts 1,048,576 input tokens compared to Sakana Namazu's 256,000 tokens. Sakana Namazu can generate longer responses up to 256,000 tokens, while Muse Spark 1.1 is limited to 131,072 tokens.
Input capabilities
Documented input modalities across available providers
Both Muse Spark 1.1 and Sakana Namazu support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Muse Spark 1.1
Sakana Namazu
License
Usage and distribution terms
Both models are licensed under proprietary licenses.
Both models have usage restrictions defined by their respective organizations.
Proprietary
Closed source
Proprietary
Closed source
Release Timeline
When each model was launched
Muse Spark 1.1 was released on 2026-07-09, while Sakana Namazu was released on 2026-08-03.
Sakana Namazu is 1 month newer than Muse Spark 1.1.
Jul 9, 2026
1 months ago
Aug 3, 2026
3 weeks ago
3w newerKnowledge 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 1.1 is available from Meta Model API. Sakana Namazu is available from Sakana AI.
Muse Spark 1.1
Sakana Namazu
Outputs Comparison
Judge for yourself.
Run your own prompts against Muse Spark 1.1 and Sakana Namazu side-by-side, then vote on the output you prefer.
FAQ
Common questions about Muse Spark 1.1 vs Sakana Namazu.