Model Comparison

Muse Spark 1.1 vs Phi-3.5-mini-instructWhich is better in 2026?

Comparing Muse Spark 1.1 and Phi-3.5-mini-instruct across benchmarks, pricing, and capabilities.

Verdict: Muse Spark 1.1 vs Phi-3.5-mini-instruct — which is better?

Muse Spark 1.1 (by Meta) and Phi-3.5-mini-instruct (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-3.5-mini-instruct is roughly 20.0x 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-3.5-mini-instruct if…

  • cost matters — it's about 20.0x 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-3.5-mini-instructdon'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-3.5-mini-instruct costs less

For input processing, Muse Spark 1.1 ($1.25/1M tokens) is 12.5x more expensive than Phi-3.5-mini-instruct ($0.10/1M tokens).

For output processing, Muse Spark 1.1 ($4.25/1M tokens) is 42.5x more expensive than Phi-3.5-mini-instruct ($0.10/1M tokens).

In conclusion, Muse Spark 1.1 is more expensive than Phi-3.5-mini-instruct.*

* 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-3.5-mini-instruct
Input tokens$0.10
Output tokens$0.10
Best providerAzure
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-3.5-mini-instruct's 128,000 tokens. Muse Spark 1.1 can generate longer responses up to 131,072 tokens, while Phi-3.5-mini-instruct is limited to 128,000 tokens.

Meta
Muse Spark 1.1
Input1,048,576 tokens
Output131,072 tokens
Microsoft
Phi-3.5-mini-instruct
Input128,000 tokens
Output128,000 tokens
Sat Jul 18 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Muse Spark 1.1 supports multimodal inputs, whereas Phi-3.5-mini-instruct 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-3.5-mini-instruct

Text
Images
Audio
Video

License

Usage and distribution terms

Muse Spark 1.1 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.

Muse Spark 1.1

Proprietary

Closed source

Phi-3.5-mini-instruct

MIT

Open weights

Release Timeline

When each model was launched

Muse Spark 1.1 was released on 2026-07-09, while Phi-3.5-mini-instruct was released on 2024-08-23.

Muse Spark 1.1 is 23 months newer than Phi-3.5-mini-instruct.

Muse Spark 1.1

Jul 9, 2026

1 weeks ago

1.9yr newer
Phi-3.5-mini-instruct

Aug 23, 2024

1.9 years ago

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Provider Availability

Muse Spark 1.1 is available from Meta Model API. Phi-3.5-mini-instruct is available from Azure.

Muse Spark 1.1

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

Phi-3.5-mini-instruct

azure logo
Azure
Input Price:Input: $0.10/1MOutput Price:Output: $0.10/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

Larger context window (1,048,576 tokens)
Supports multimodal inputs
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-3.5-mini-instruct side-by-side, then vote on the output you prefer.

Muse Spark 1.1
✓ Preferred
Phi-3.5-mini-instruct
Open in Playground
AI Model Comparison Table
Feature
Meta
Muse Spark 1.1
Microsoft
Phi-3.5-mini-instruct

FAQ

Common questions about Muse Spark 1.1 vs Phi-3.5-mini-instruct.

Which is better, Muse Spark 1.1 or Phi-3.5-mini-instruct?

Muse Spark 1.1 (Meta) and Phi-3.5-mini-instruct (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-3.5-mini-instruct 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-3.5-mini-instruct scores GSM8k: 86.2%, ARC-C: 84.6%, RULER: 84.1%, PIQA: 81.0%, OpenBookQA: 79.2%.

Is Muse Spark 1.1 cheaper than Phi-3.5-mini-instruct?

Phi-3.5-mini-instruct is 12.5x cheaper for input tokens. Muse Spark 1.1 costs $1.25/M input and $4.25/M output via meta. Phi-3.5-mini-instruct costs $0.10/M input and $0.10/M output via azure.

What are the context window sizes for Muse Spark 1.1 and Phi-3.5-mini-instruct?

Muse Spark 1.1 supports 1.0M tokens and Phi-3.5-mini-instruct supports 128K 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-3.5-mini-instruct?

Key differences include context window (1.0M vs 128K), input pricing ($1.25 vs $0.10/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-3.5-mini-instruct?

Muse Spark 1.1 is developed by Meta and Phi-3.5-mini-instruct is developed by Microsoft.