Muse Spark 1.1 vs Muse Spark 1.3
Muse Spark 1.3 leads the LLM Stats Score 55.1 to 49.7. Muse Spark 1.3 is 16.0x cheaper per token.
Meta · Meta · Updated for 2026
Which is better?
Muse Spark 1.3 leads the overall LLM Stats Score 55.1 to 49.7, ranking #4 overall.
In the 3 individual benchmarks reported for both models, Muse Spark 1.3 wins 3; this is a narrower head-to-head signal than the composite indexes.
On price, Muse Spark 1.3 is roughly 16.0x 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 1.1
- you want predictable pricing at $1.25/M input and $4.25/M output
Choose Muse Spark 1.3
- overall performance matters — it scores 55.1 and ranks #4 on LLM Stats
- you value its reported benchmark strengths — it wins 3 of 3 exact shared results
- cost matters — it's about 16.0x cheaper per token
- you want the most recent training data — it shipped Sep 2026
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
11 reported for Muse Spark 1.1 · 11 for Muse Spark 1.3
Muse Spark 1.1 outperforms in 0 benchmarks, while Muse Spark 1.3 is better at 3 benchmarks (DeepSWE 1.1, Job Bench, Terminal-Bench 2.1).
Muse Spark 1.3 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 1.1 ($1.25/1M tokens) is 12.5x more expensive than Muse Spark 1.3 ($0.10/1M tokens).
For output processing, Muse Spark 1.1 ($4.25/1M tokens) is 21.3x more expensive than Muse Spark 1.3 ($0.20/1M tokens).
In conclusion, Muse Spark 1.1 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. Muse Spark 1.3 can generate longer responses up to 943,718 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 Muse Spark 1.3 support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Muse Spark 1.1
Muse Spark 1.3
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 Muse Spark 1.3 was released on 2026-09-02.
Muse Spark 1.3 is 2 months newer than Muse Spark 1.1.
Jul 9, 2026
2 months ago
Sep 2, 2026
6 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 1.1 is available from Meta Model API. Muse Spark 1.3 is available from Meta Model API.
Muse Spark 1.1
Muse Spark 1.3
Outputs Comparison
Judge for yourself.
Run your own prompts against Muse Spark 1.1 and Muse Spark 1.3 side-by-side, then vote on the output you prefer.
FAQ
Common questions about Muse Spark 1.1 vs Muse Spark 1.3.