Muse Spark Open vs Phi 4
Muse Spark Open leads the LLM Stats Score 44.9 to 5.1. Phi 4 is 22.9x cheaper per token.
Meta · Microsoft · Updated for 2026
Which is better?
Muse Spark Open leads the overall LLM Stats Score 44.9 to 5.1, ranking #43 overall.
In the 1 individual benchmarks reported for both models, Muse Spark Open wins 1; this is a narrower head-to-head signal than the composite indexes.
On price, Phi 4 is roughly 22.9x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Muse Spark Open 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 Spark Open
- overall performance matters — it scores 44.9 and ranks #43 on LLM Stats
- your work emphasizes reasoning and coding — it leads those capability indexes
- you value its reported benchmark strengths — it wins 1 of 1 exact shared results
- you process long inputs — it offers a 1,048,576 token context window
- you want the most recent training data — it shipped Oct 2026
Choose Phi 4
- cost matters — it's about 22.9x cheaper per token
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
17 reported for Muse Spark Open · 13 for Phi 4
Muse Spark Open outperforms in 1 benchmarks (GPQA), while Phi 4 is better at 0 benchmarks.
Muse Spark Open 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 Open ($1.25/1M tokens) is 17.9x more expensive than Phi 4 ($0.07/1M tokens).
For output processing, Muse Spark Open ($4.25/1M tokens) is 30.4x more expensive than Phi 4 ($0.14/1M tokens).
In conclusion, Muse Spark Open is more expensive than Phi 4.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
Muse Spark Open has 801.3B more parameters than Phi 4, making it 5451.0% larger.
Context Window
Maximum input and output token capacity
Muse Spark Open accepts 1,048,576 input tokens compared to Phi 4's 16,384 tokens. Muse Spark Open can generate longer responses up to 1,048,576 tokens, while Phi 4 is limited to 16,384 tokens.
Input capabilities
Documented input modalities across available providers
Muse Spark Open supports multimodal inputs, whereas Phi 4 does not.
Muse Spark Open can handle both text and other forms of data like images, making it suitable for multimodal applications.
Muse Spark Open
Phi 4
License
Usage and distribution terms
Muse Spark Open is licensed under Muse Model License, while Phi 4 uses MIT.
License differences may affect how you can use these models in commercial or open-source projects.
Muse Model License
Open weights
MIT
Open weights
Release Timeline
When each model was launched
Muse Spark Open was released on 2026-10-15, while Phi 4 was released on 2024-12-12.
Muse Spark Open is 22 months newer than Phi 4.
Oct 15, 2026
4 days ago
1.8yr newerDec 12, 2024
1.9 years ago
Knowledge Cutoff
When training data ends
Phi 4 has a documented knowledge cutoff of 2024-06-01, while Muse Spark Open's cutoff date is not specified.
We can confirm Phi 4's training data extends to 2024-06-01, but cannot make a direct comparison without Muse Spark Open's cutoff date.
—
Jun 2024
Provider Availability
Muse Spark Open is available from Together. Phi 4 is available from DeepInfra.
Muse Spark Open
Phi 4
Outputs Comparison
Judge for yourself.
Run your own prompts against Muse Spark Open and Phi 4 side-by-side, then vote on the output you prefer.
FAQ
Common questions about Muse Spark Open vs Phi 4.