Muse Ember vs Phi-3.5-mini-instruct
Muse Ember leads the LLM Stats Score 45.9 to -4.4. Phi-3.5-mini-instruct is 2.0x cheaper per token.
Meta · Microsoft · Updated for 2026
Which is better?
Muse Ember leads the overall LLM Stats Score 45.9 to -4.4, ranking #47 overall.
On price, Phi-3.5-mini-instruct is roughly 2.0x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Muse Ember 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 Ember
- overall performance matters — it scores 45.9 and ranks #47 on LLM Stats
- your work emphasizes reasoning and coding — it leads those capability indexes
- you process long inputs — it offers a 1,048,576 token context window
- you want the most recent training data — it shipped Nov 2026
Choose Phi-3.5-mini-instruct
- cost matters — it's about 2.0x cheaper per token
- you need open weights you can self-host or fine-tune
At a glance
The differences that matter most.
Individual benchmarks
6 reported for Muse Ember · 31 for Phi-3.5-mini-instruct
Muse Ember and Phi-3.5-mini-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
Pricing Analysis
Price comparison per million tokens
For input processing, Muse Ember ($0.10/1M tokens) costs the same as Phi-3.5-mini-instruct ($0.10/1M tokens).
For output processing, Muse Ember ($0.50/1M tokens) is 5.0x more expensive than Phi-3.5-mini-instruct ($0.10/1M tokens).
In conclusion, Muse Ember is more expensive than Phi-3.5-mini-instruct.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Muse Ember accepts 1,048,576 input tokens compared to Phi-3.5-mini-instruct's 128,000 tokens. Muse Ember can generate longer responses up to 524,288 tokens, while Phi-3.5-mini-instruct is limited to 128,000 tokens.
Input capabilities
Documented input modalities across available providers
Muse Ember supports multimodal inputs, whereas Phi-3.5-mini-instruct does not.
Muse Ember can handle both text and other forms of data like images, making it suitable for multimodal applications.
Muse Ember
Phi-3.5-mini-instruct
License
Usage and distribution terms
Muse Ember is licensed under a proprietary license, while Phi-3.5-mini-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 Ember was released on 2026-11-09, while Phi-3.5-mini-instruct was released on 2024-08-23.
Muse Ember is 27 months newer than Phi-3.5-mini-instruct.
Nov 9, 2026
3 days ago
2.2yr newerAug 23, 2024
2.2 years 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
Muse Ember is available from Meta Model API. Phi-3.5-mini-instruct is available from Azure.
Muse Ember
Phi-3.5-mini-instruct
Outputs Comparison
Judge for yourself.
Run your own prompts against Muse Ember and Phi-3.5-mini-instruct side-by-side, then vote on the output you prefer.
FAQ
Common questions about Muse Ember vs Phi-3.5-mini-instruct.