Laguna S 2.1 vs Muse Spark 1.1
Muse Spark 1.1 leads the LLM Stats Score 51.0 to 41.4. Laguna S 2.1 is 16.0x cheaper per token.
Poolside · Meta · Updated for 2026
Which is better?
Muse Spark 1.1 leads the overall LLM Stats Score 51.0 to 41.4, ranking #12 overall.
In the 4 individual benchmarks reported for both models, Muse Spark 1.1 wins 4; this is a narrower head-to-head signal than the composite indexes.
On price, Laguna S 2.1 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 Laguna S 2.1
- cost matters — it's about 16.0x cheaper per token
- you want the most recent training data — it shipped Jul 2026
- you need open weights you can self-host or fine-tune
Choose Muse Spark 1.1
- overall performance matters — it scores 51.0 and ranks #12 on LLM Stats
- your work emphasizes reasoning and agents — it leads those capability indexes
- you value its reported benchmark strengths — it wins 4 of 4 exact shared results
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
6 reported for Laguna S 2.1 · 11 for Muse Spark 1.1
Laguna S 2.1 outperforms in 0 benchmarks, while Muse Spark 1.1 is better at 4 benchmarks (DeepSWE 1.1, SWE-Bench Pro, Terminal-Bench 2.1, Toolathlon).
Muse Spark 1.1 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, Laguna S 2.1 ($0.10/1M tokens) is 12.5x cheaper than Muse Spark 1.1 ($1.25/1M tokens).
For output processing, Laguna S 2.1 ($0.20/1M tokens) is 21.3x cheaper than Muse Spark 1.1 ($4.25/1M tokens).
In conclusion, Muse Spark 1.1 is more expensive than Laguna S 2.1.*
* 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 1.1 specifies output context (131,072 tokens).
Input capabilities
Documented input modalities across available providers
Muse Spark 1.1 supports multimodal inputs, whereas Laguna S 2.1 does not.
Muse Spark 1.1 can handle both text and other forms of data like images, making it suitable for multimodal applications.
Laguna S 2.1
Muse Spark 1.1
License
Usage and distribution terms
Laguna S 2.1 is licensed under OpenMDW License v1.1, while Muse Spark 1.1 uses a proprietary license.
License differences may affect how you can use these models in commercial or open-source projects.
OpenMDW License v1.1
Open weights
Proprietary
Closed source
Release Timeline
When each model was launched
Laguna S 2.1 was released on 2026-07-21, while Muse Spark 1.1 was released on 2026-07-09.
Laguna S 2.1 is 0 month newer than Muse Spark 1.1.
Jul 21, 2026
1 months ago
1w newerJul 9, 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.
Provider Availability
Laguna S 2.1 is available from Poolside. Muse Spark 1.1 is available from Meta Model API.
Laguna S 2.1
Muse Spark 1.1
Outputs Comparison
Judge for yourself.
Run your own prompts against Laguna S 2.1 and Muse Spark 1.1 side-by-side, then vote on the output you prefer.
FAQ
Common questions about Laguna S 2.1 vs Muse Spark 1.1.