Muse Spark 1.3 vs Muse Wonder
Muse Spark 1.3 and Muse Wonder are closely matched at 52.4 and 47.9 on the LLM Stats Score. Muse Spark 1.3 is 4.0x cheaper per token.
Meta · Meta · Updated for 2026
Which is better?
Muse Spark 1.3 and Muse Wonder are closely matched on the overall LLM Stats Score at 52.4 and 47.9.
In the 1 individual benchmarks reported for both models, Muse Wonder wins 1; this is a narrower head-to-head signal than the composite indexes.
On price, Muse Spark 1.3 is roughly 4.0x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose Muse Spark 1.3
- your work emphasizes reasoning — it leads those capability indexes
- cost matters — it's about 4.0x cheaper per token
Choose Muse Wonder
- you value its reported benchmark strengths — it wins 1 of 1 exact shared results
- you want the most recent training data — it shipped Oct 2026
At a glance
The differences that matter most.
Individual benchmarks
11 reported for Muse Spark 1.3 · 16 for Muse Wonder
Muse Spark 1.3 outperforms in 0 benchmarks, while Muse Wonder is better at 1 benchmark (DeepSWE 1.1).
Muse Wonder significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, Muse Spark 1.3 ($1.25/1M tokens) is 3.2x cheaper than Muse Wonder ($4.00/1M tokens).
For output processing, Muse Spark 1.3 ($4.25/1M tokens) is 4.7x cheaper than Muse Wonder ($20.00/1M tokens).
In conclusion, Muse Wonder is more expensive than Muse Spark 1.3.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Both models have the same input context window of 1,048,576 tokens. Only Muse Spark 1.3 specifies output context (943,718 tokens).
Input capabilities
Documented input modalities across available providers
Both Muse Spark 1.3 and Muse Wonder support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Muse Spark 1.3
Muse Wonder
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 1.3 was released on 2026-09-02, while Muse Wonder was released on 2026-10-12.
Muse Wonder is 1 month newer than Muse Spark 1.3.
Sep 2, 2026
1 months ago
Oct 12, 2026
0 days ago
1mo 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 1.3 is available from Meta Model API. Muse Wonder is available from Meta Model API.
Muse Spark 1.3
Muse Wonder
Outputs Comparison
Judge for yourself.
Run your own prompts against Muse Spark 1.3 and Muse Wonder side-by-side, then vote on the output you prefer.
FAQ
Common questions about Muse Spark 1.3 vs Muse Wonder.