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Muse Spark 1.3 vs Phi 4 Reasoning

Muse Spark 1.3 leads the LLM Stats Score 55.3 to 12.3.

Meta · Microsoft · Updated for 2026

Which is better?

Muse Spark 1.3 leads the overall LLM Stats Score 55.3 to 12.3, 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 55.3 and ranks #5 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes
  • you want the most recent training data — it shipped Sep 2026

Choose Phi 4 Reasoning

  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

Muse Spark 1.3
Meta
Phi 4 Reasoning
Microsoft
Core performance indexes
LLM Stats Score
55.3
#5
12.3
#242
Reasoning
52.8
#7
12.8
#230
Coding
41.7
#10
6.5
#182
Cost, coverage & limits
Benchmark wins
—
—
Input price
$0.10 / M
— / M
Output price
$0.20 / M
— / M
Context window
1,048,576
—

Individual benchmarks

11 reported for Muse Spark 1.3 · 11 for Phi 4 Reasoning

No common benchmarks found

Muse Spark 1.3 and Phi 4 Reasoningdon'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).

Meta
Muse Spark 1.3
Input1,048,576 tokens
Output943,718 tokens
Microsoft
Phi 4 Reasoning
Input- tokens
Output- tokens
Fri Sep 04 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Muse Spark 1.3 supports multimodal inputs, whereas Phi 4 Reasoning does not.

Muse Spark 1.3 can handle both text and other forms of data like images, making it suitable for multimodal applications.

Muse Spark 1.3

Text
Images
Audio
Video

Phi 4 Reasoning

Text
Images
Audio
Video

License

Usage and distribution terms

Muse Spark 1.3 is licensed under a proprietary 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 1.3

Proprietary

Closed source

Phi 4 Reasoning

MIT

Open weights

Release Timeline

When each model was launched

Muse Spark 1.3 was released on 2026-09-02, while Phi 4 Reasoning was released on 2025-04-30.

Muse Spark 1.3 is 16 months newer than Phi 4 Reasoning.

Muse Spark 1.3

Sep 2, 2026

1 days ago

1.3yr newer
Phi 4 Reasoning

Apr 30, 2025

1.3 years ago

Knowledge Cutoff

When training data ends

Phi 4 Reasoning has a documented knowledge cutoff of 2025-03-01, while Muse Spark 1.3'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 1.3's cutoff date.

Muse Spark 1.3

—

Phi 4 Reasoning

Mar 2025

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against Muse Spark 1.3 and Phi 4 Reasoning side-by-side, then vote on the output you prefer.

Muse Spark 1.3
✓ Preferred
Phi 4 Reasoning
Open in Playground

FAQ

Common questions about Muse Spark 1.3 vs Phi 4 Reasoning.

Which is better, Muse Spark 1.3 or Phi 4 Reasoning?

Muse Spark 1.3 leads the LLM Stats Score 55.3 to 12.3. Muse Spark 1.3 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 1.3 compare to Phi 4 Reasoning in benchmarks?

Muse Spark 1.3 scores MRCR v2 (8-needle): 98.5%, MRCR v2 (8-needle, 512K-1M): 98.1%, DeepSearchQA: 89.4%, Terminal-Bench 2.1: 88.8%, DeepSWE 1.1: 75.4%. 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 1.3 and Phi 4 Reasoning?

Muse Spark 1.3 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 1.3 and Phi 4 Reasoning?

Key differences include LLM Stats Score (55.3 vs 12.3), multimodal support (yes vs no), licensing (Proprietary vs MIT). See the full comparison above for benchmark-by-benchmark results.

Who makes Muse Spark 1.3 and Phi 4 Reasoning?

Muse Spark 1.3 is developed by Meta and Phi 4 Reasoning is developed by Microsoft.

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