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Muse Spark 1.3 vs Sakana Namazu

Muse Spark 1.3 leads the LLM Stats Score 54.3 to 42.1. Sakana Namazu is 1.2x cheaper per token.

Meta · Sakana AI · Updated for 2026

Which is better?

Muse Spark 1.3 leads the overall LLM Stats Score 54.3 to 42.1, ranking #6 overall.

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 1.3 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 1.3

  • overall performance matters — it scores 54.3 and ranks #6 on LLM Stats
  • you process long inputs — it offers a 1,048,576 token context window
  • you want the most recent training data — it shipped Sep 2026

Choose Sakana Namazu

  • cost matters — it's about 1.2x cheaper per token

At a glance

The differences that matter most.

Muse Spark 1.3
Meta
Sakana Namazu
Sakana AI
Core performance indexes
LLM Stats Score
54.3
#6
42.1
#49
Reasoning
51.8
#7
41.9
#47
Cost, coverage & limits
Benchmark wins
—
—
Input price
$1.25 / M
$0.95 / M
Output price
$4.25 / M
$4.00 / M
Context window
1,048,576
256,000

Individual benchmarks

11 reported for Muse Spark 1.3 · 3 for Sakana Namazu

No common benchmarks found

Muse Spark 1.3 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

Sakana Namazu costs less

For input processing, Muse Spark 1.3 ($1.25/1M tokens) is 1.3x more expensive than Sakana Namazu ($0.95/1M tokens).

For output processing, Muse Spark 1.3 ($4.25/1M tokens) is 1.1x more expensive than Sakana Namazu ($4.00/1M tokens).

In conclusion, Muse Spark 1.3 is more expensive than Sakana Namazu.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Sun Sep 20 2026 • llm-stats.com
Meta
Muse Spark 1.3
Input tokens$1.25
Output tokens$4.25
Best providerMeta
Sakana AI
Sakana Namazu
Input tokens$0.95
Output tokens$4.00
Best providerUnknown Organization
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

Muse Spark 1.3 accepts 1,048,576 input tokens compared to Sakana Namazu's 256,000 tokens. Muse Spark 1.3 can generate longer responses up to 943,718 tokens, while Sakana Namazu is limited to 256,000 tokens.

Meta
Muse Spark 1.3
Input1,048,576 tokens
Output943,718 tokens
Sakana AI
Sakana Namazu
Input256,000 tokens
Output256,000 tokens
Sun Sep 20 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Muse Spark 1.3 and Sakana Namazu support multimodal inputs.

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

Muse Spark 1.3

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 Spark 1.3

Proprietary

Closed source

Sakana Namazu

Proprietary

Closed source

Release Timeline

When each model was launched

Muse Spark 1.3 was released on 2026-09-02, while Sakana Namazu was released on 2026-08-03.

Muse Spark 1.3 is 1 month newer than Sakana Namazu.

Muse Spark 1.3

Sep 2, 2026

2 weeks ago

1mo newer
Sakana Namazu

Aug 3, 2026

1 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

Provider Availability

Muse Spark 1.3 is available from Meta Model API. Sakana Namazu is available from Sakana AI.

Muse Spark 1.3

meta logo
Meta
Input Price:Input: $1.25/1MOutput Price:Output: $4.25/1M

Sakana Namazu

sakana logo
Unknown Organization
Input Price:Input: $0.95/1MOutput Price:Output: $4.00/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against Muse Spark 1.3 and Sakana Namazu side-by-side, then vote on the output you prefer.

Muse Spark 1.3
✓ Preferred
Sakana Namazu
Open in Playground

FAQ

Common questions about Muse Spark 1.3 vs Sakana Namazu.

Which is better, Muse Spark 1.3 or Sakana Namazu?

Muse Spark 1.3 leads the LLM Stats Score 54.3 to 42.1. Muse Spark 1.3 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 Spark 1.3 compare to Sakana Namazu in benchmarks?

Muse Spark 1.3 scores MRCR v2 (8-needle): 98.5%, MRCR v2 (8-needle, 512K-1M): 98.1%, DeepSearchQA: 89.4%, Terminal-Bench 2.1: 88.8%, DeepSWE 1.1: 75.4%. Sakana Namazu scores AIME 2026: 96.7%, LiveCodeBench v6: 90.3%, MMLU-Pro: 90.3%.

Is Muse Spark 1.3 cheaper than Sakana Namazu?

Sakana Namazu is 1.3x cheaper for input tokens. Muse Spark 1.3 costs $1.25/M input and $4.25/M output via meta. Sakana Namazu costs $0.95/M input and $4.00/M output via sakana.

What are the context window sizes for Muse Spark 1.3 and Sakana Namazu?

Muse Spark 1.3 supports 1.0M 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 Spark 1.3 and Sakana Namazu?

Key differences include LLM Stats Score (54.3 vs 42.1), context window (1.0M vs 256K), input pricing ($1.25 vs $0.95/M). See the full comparison above for benchmark-by-benchmark results.

Who makes Muse Spark 1.3 and Sakana Namazu?

Muse Spark 1.3 is developed by Meta and Sakana Namazu is developed by Sakana AI.

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