The AI arena is free today

Open Superagent

Muse Spark Open vs Phi 4 Reasoning

Muse Spark Open leads the LLM Stats Score 44.9 to 11.7.

Meta · Microsoft · Updated for 2026

Which is better?

Muse Spark Open leads the overall LLM Stats Score 44.9 to 11.7, 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.

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 want the most recent training data — it shipped Oct 2026

Choose Phi 4 Reasoning

  • you are already invested in the Microsoft ecosystem

At a glance

The differences that matter most.

Core performance indexes
44.9
#43
11.7
#278
45.2
#39
12.3
#267
33.0
#42
6.3
#211
Cost, coverage & limits
Benchmark wins
1 of 1
0 of 1
Input price
$1.25 / M
— / M
Output price
$4.25 / M
— / M
Context window
1,048,576
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
Muse Spark Open
Phi 4 Reasoning
31.6#69
13.6#235
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

17 reported for Muse Spark Open · 11 for Phi 4 Reasoning

1 shared

Muse Spark Open outperforms in 1 benchmarks (GPQA), while Phi 4 Reasoning is better at 0 benchmarks.

Muse Spark Open significantly outperforms across most benchmarks.

Tue Oct 20 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

802.0B diff

Muse Spark Open has 802.0B more parameters than Phi 4 Reasoning, making it 5728.6% larger.

Meta
Muse Spark Open
816.0Bparameters
Microsoft
Phi 4 Reasoning
14.0Bparameters
816.0B
Muse Spark Open
14.0B
Phi 4 Reasoning

Context Window

Maximum input and output token capacity

Only Muse Spark Open specifies input context (1,048,576 tokens). Only Muse Spark Open specifies output context (1,048,576 tokens).

Meta
Muse Spark Open
Input1,048,576 tokens
Output1,048,576 tokens
Microsoft
Phi 4 Reasoning
Input- tokens
Output- tokens
Tue Oct 20 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Muse Spark Open supports multimodal inputs, whereas Phi 4 Reasoning 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

Text
Images
Audio
Video

Phi 4 Reasoning

Text
Images
Audio
Video

License

Usage and distribution terms

Muse Spark Open is licensed under Muse Model License, while Phi 4 Reasoning uses MIT.

License differences may affect how you can use these models in commercial or open-source projects.

Muse Spark Open

Muse Model License

Open weights

Phi 4 Reasoning

MIT

Open weights

Release Timeline

When each model was launched

Muse Spark Open was released on 2026-10-15, while Phi 4 Reasoning was released on 2025-04-30.

Muse Spark Open is 18 months newer than Phi 4 Reasoning.

Muse Spark Open

Oct 15, 2026

4 days ago

1.5yr newer
Phi 4 Reasoning

Apr 30, 2025

1.5 years ago

Knowledge Cutoff

When training data ends

Phi 4 Reasoning has a documented knowledge cutoff of 2025-03-01, while Muse Spark Open's cutoff date is not specified.

We can confirm Phi 4 Reasoning's training data extends to 2025-03-01, but cannot make a direct comparison without Muse Spark Open's cutoff date.

Muse Spark Open

—

Phi 4 Reasoning

Mar 2025

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against Muse Spark Open and Phi 4 Reasoning side-by-side, then vote on the output you prefer.

Muse Spark Open
✓ Preferred
Phi 4 Reasoning
Open in Playground

FAQ

Common questions about Muse Spark Open vs Phi 4 Reasoning.

Which is better, Muse Spark Open or Phi 4 Reasoning?

Muse Spark Open leads the LLM Stats Score 44.9 to 11.7. Muse Spark Open is made by Meta and Phi 4 Reasoning is made by Microsoft. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does Muse Spark Open compare to Phi 4 Reasoning in benchmarks?

Muse Spark Open scores MCP Atlas: 89.2%, GPQA: 89.0%, OSWorld-Verified: 80.4%, BabyVision: 80.2%, Terminal-Bench 2.1: 76.4%. Phi 4 Reasoning scores FlenQA: 97.7%, HumanEval+: 92.9%, IFEval: 83.4%, OmniMath: 76.6%, AIME 2024: 75.3%.

What are the context window sizes for Muse Spark Open and Phi 4 Reasoning?

Muse Spark Open supports 1.0M tokens and Phi 4 Reasoning supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Muse Spark Open and Phi 4 Reasoning?

Key differences include LLM Stats Score (44.9 vs 11.7), multimodal support (yes vs no), licensing (Muse Model License vs MIT). See the full comparison above for benchmark-by-benchmark results.

Who makes Muse Spark Open and Phi 4 Reasoning?

Muse Spark Open is developed by Meta and Phi 4 Reasoning is developed by Microsoft.