Muse Spark 1.3 vs Phi-3.5-vision-instruct
Muse Spark 1.3 leads the LLM Stats Score 55.4 to -3.1.
Meta · Microsoft · Updated for 2026
Which is better?
Muse Spark 1.3 leads the overall LLM Stats Score 55.4 to -3.1, ranking #5 overall.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose Muse Spark 1.3
- overall performance matters — it scores 55.4 and ranks #5 on LLM Stats
- your work emphasizes reasoning — it leads those capability indexes
- you want the most recent training data — it shipped Sep 2026
Choose Phi-3.5-vision-instruct
- you need open weights you can self-host or fine-tune
At a glance
The differences that matter most.
Individual benchmarks
11 reported for Muse Spark 1.3 · 9 for Phi-3.5-vision-instruct
Muse Spark 1.3 and Phi-3.5-vision-instructdon'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
Context Window
Maximum input and output token capacity
Only Muse Spark 1.3 specifies input context (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 Phi-3.5-vision-instruct support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Muse Spark 1.3
Phi-3.5-vision-instruct
License
Usage and distribution terms
Muse Spark 1.3 is licensed under a proprietary license, while Phi-3.5-vision-instruct uses MIT.
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
MIT
Open weights
Release Timeline
When each model was launched
Muse Spark 1.3 was released on 2026-09-02, while Phi-3.5-vision-instruct was released on 2024-08-23.
Muse Spark 1.3 is 25 months newer than Phi-3.5-vision-instruct.
Sep 2, 2026
0 days ago
2.0yr newerAug 23, 2024
2.0 years ago
Knowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Outputs Comparison
Judge for yourself.
Run your own prompts against Muse Spark 1.3 and Phi-3.5-vision-instruct side-by-side, then vote on the output you prefer.
FAQ
Common questions about Muse Spark 1.3 vs Phi-3.5-vision-instruct.