Model Comparison

Muse Spark 1.1 vs Phi 4Which is better in 2026?

Comparing Muse Spark 1.1 and Phi 4 across benchmarks, pricing, and capabilities.

Verdict: Muse Spark 1.1 vs Phi 4 — which is better?

Muse Spark 1.1 (by Meta) and Phi 4 (by Microsoft) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.

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 1.1 also accepts a larger context window (1,048,576 input tokens), making it the stronger choice for long documents and large codebases.

Choose Muse Spark 1.1 if…

  • you process long inputs — it offers a 1,048,576 token context window
  • you want the most recent training data — it shipped Jul 2026

Choose Phi 4 if…

  • cost matters — it's about 22.9x cheaper per token
  • you need open weights you can self-host or fine-tune

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

Muse Spark 1.1 and Phi 4don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Phi 4 costs less

For input processing, Muse Spark 1.1 ($1.25/1M tokens) is 17.9x more expensive than Phi 4 ($0.07/1M tokens).

For output processing, Muse Spark 1.1 ($4.25/1M tokens) is 30.4x more expensive than Phi 4 ($0.14/1M tokens).

In conclusion, Muse Spark 1.1 is more expensive than Phi 4.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Sat Jul 18 2026 • llm-stats.com
Meta
Muse Spark 1.1
Input tokens$1.25
Output tokens$4.25
Best providerMeta
Microsoft
Phi 4
Input tokens$0.07
Output tokens$0.14
Best providerDeepinfra
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

Muse Spark 1.1 accepts 1,048,576 input tokens compared to Phi 4's 16,000 tokens. Muse Spark 1.1 can generate longer responses up to 131,072 tokens, while Phi 4 is limited to 16,000 tokens.

Meta
Muse Spark 1.1
Input1,048,576 tokens
Output131,072 tokens
Microsoft
Phi 4
Input16,000 tokens
Output16,000 tokens
Sat Jul 18 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Muse Spark 1.1 supports multimodal inputs, whereas Phi 4 does not.

Muse Spark 1.1 can handle both text and other forms of data like images, making it suitable for multimodal applications.

Muse Spark 1.1

Text
Images
Audio
Video

Phi 4

Text
Images
Audio
Video

License

Usage and distribution terms

Muse Spark 1.1 is licensed under a proprietary license, while Phi 4 uses MIT.

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

Muse Spark 1.1

Proprietary

Closed source

Phi 4

MIT

Open weights

Release Timeline

When each model was launched

Muse Spark 1.1 was released on 2026-07-09, while Phi 4 was released on 2024-12-12.

Muse Spark 1.1 is 19 months newer than Phi 4.

Muse Spark 1.1

Jul 9, 2026

1 weeks ago

1.6yr newer
Phi 4

Dec 12, 2024

1.6 years ago

Knowledge Cutoff

When training data ends

Phi 4 has a documented knowledge cutoff of 2024-06-01, while Muse Spark 1.1'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 1.1's cutoff date.

Muse Spark 1.1

—

Phi 4

Jun 2024

Provider Availability

Muse Spark 1.1 is available from Meta Model API. Phi 4 is available from DeepInfra.

Muse Spark 1.1

meta logo
Meta
Input Price:Input: $1.25/1MOutput Price:Output: $4.25/1M

Phi 4

deepinfra logo
Deepinfra
Input Price:Input: $0.07/1MOutput Price:Output: $0.14/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Meta
Larger context window (1,048,576 tokens)
Supports multimodal inputs
Microsoft
Less expensive input tokens
Less expensive output tokens
Has open weights

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against Muse Spark 1.1 and Phi 4 side-by-side, then vote on the output you prefer.

Muse Spark 1.1
✓ Preferred
Phi 4
Open in Playground
AI Model Comparison Table
Feature
Meta
Muse Spark 1.1
Microsoft
Phi 4

FAQ

Common questions about Muse Spark 1.1 vs Phi 4.

Which is better, Muse Spark 1.1 or Phi 4?

Muse Spark 1.1 (Meta) and Phi 4 (Microsoft) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does Muse Spark 1.1 compare to Phi 4 in benchmarks?

Muse Spark 1.1 scores CharXiv-R: 88.4%, MCP Atlas: 88.1%, OSWorld-Verified: 80.8%, Terminal-Bench 2.1: 80.0%, BabyVision: 76.3%. Phi 4 scores MMLU: 84.8%, HumanEval+: 82.8%, HumanEval: 82.6%, MGSM: 80.6%, MATH: 80.4%.

Is Muse Spark 1.1 cheaper than Phi 4?

Phi 4 is 17.9x cheaper for input tokens. Muse Spark 1.1 costs $1.25/M input and $4.25/M output via meta. Phi 4 costs $0.07/M input and $0.14/M output via deepinfra.

What are the context window sizes for Muse Spark 1.1 and Phi 4?

Muse Spark 1.1 supports 1.0M tokens and Phi 4 supports 16K 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 1.1 and Phi 4?

Key differences include context window (1.0M vs 16K), input pricing ($1.25 vs $0.07/M), multimodal support (yes vs no), licensing (Proprietary vs MIT). See the full comparison above for benchmark-by-benchmark results.

Who makes Muse Spark 1.1 and Phi 4?

Muse Spark 1.1 is developed by Meta and Phi 4 is developed by Microsoft.

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