Model Comparison
Muse Spark 1.1 vs Phi-4-multimodal-instructWhich is better in 2026?
Comparing Muse Spark 1.1 and Phi-4-multimodal-instruct across benchmarks, pricing, and capabilities.
Verdict: Muse Spark 1.1 vs Phi-4-multimodal-instruct — which is better?
Muse Spark 1.1 (by Meta) and Phi-4-multimodal-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-4-multimodal-instruct is roughly 32.0x 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-4-multimodal-instruct if…
- cost matters — it's about 32.0x cheaper per token
- you need open weights you can self-host or fine-tune
Performance Benchmarks
Comparative analysis across standard metrics
Muse Spark 1.1 and Phi-4-multimodal-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
For input processing, Muse Spark 1.1 ($1.25/1M tokens) is 25.0x more expensive than Phi-4-multimodal-instruct ($0.05/1M tokens).
For output processing, Muse Spark 1.1 ($4.25/1M tokens) is 42.5x more expensive than Phi-4-multimodal-instruct ($0.10/1M tokens).
In conclusion, Muse Spark 1.1 is more expensive than Phi-4-multimodal-instruct.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Muse Spark 1.1 accepts 1,048,576 input tokens compared to Phi-4-multimodal-instruct's 128,000 tokens. Muse Spark 1.1 can generate longer responses up to 131,072 tokens, while Phi-4-multimodal-instruct is limited to 128,000 tokens.
Input Capabilities
Supported data types and modalities
Both Muse Spark 1.1 and Phi-4-multimodal-instruct support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Muse Spark 1.1
Phi-4-multimodal-instruct
License
Usage and distribution terms
Muse Spark 1.1 is licensed under a proprietary license, while Phi-4-multimodal-instruct uses MIT.
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
MIT
Open weights
Release Timeline
When each model was launched
Muse Spark 1.1 was released on 2026-07-09, while Phi-4-multimodal-instruct was released on 2025-02-01.
Muse Spark 1.1 is 17 months newer than Phi-4-multimodal-instruct.
Jul 9, 2026
1 weeks ago
1.4yr newerFeb 1, 2025
1.5 years ago
Knowledge Cutoff
When training data ends
Phi-4-multimodal-instruct 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-multimodal-instruct's training data extends to 2024-06-01, but cannot make a direct comparison without Muse Spark 1.1's cutoff date.
—
Jun 2024
Provider Availability
Muse Spark 1.1 is available from Meta Model API. Phi-4-multimodal-instruct is available from DeepInfra.
Muse Spark 1.1
Phi-4-multimodal-instruct
Outputs Comparison
Key Takeaways
Detailed Comparison
Interactive Arena
Judge for yourself.
Run your own prompts against Muse Spark 1.1 and Phi-4-multimodal-instruct side-by-side, then vote on the output you prefer.
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FAQ
Common questions about Muse Spark 1.1 vs Phi-4-multimodal-instruct.