Model Comparison
Gemma 3n E4B Instructed vs Muse Spark 1.1Which is better in 2026?
Comparing Gemma 3n E4B Instructed and Muse Spark 1.1 across benchmarks, pricing, and capabilities.
Verdict: Gemma 3n E4B Instructed vs Muse Spark 1.1 — which is better?
Gemma 3n E4B Instructed (by Google) and Muse Spark 1.1 (by Meta) 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, Muse Spark 1.1 is roughly 12.5x 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 Gemma 3n E4B Instructed if…
- you want predictable pricing at $20.00/M input and $40.00/M output
Choose Muse Spark 1.1 if…
- cost matters — it's about 12.5x cheaper per token
- you process long inputs — it offers a 1,048,576 token context window
- you want the most recent training data — it shipped Jul 2026
Performance Benchmarks
Comparative analysis across standard metrics
Gemma 3n E4B Instructed and Muse Spark 1.1don'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, Gemma 3n E4B Instructed ($20.00/1M tokens) is 16.0x more expensive than Muse Spark 1.1 ($1.25/1M tokens).
For output processing, Gemma 3n E4B Instructed ($40.00/1M tokens) is 9.4x more expensive than Muse Spark 1.1 ($4.25/1M tokens).
In conclusion, Gemma 3n E4B Instructed is more expensive than Muse Spark 1.1.*
* 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 Gemma 3n E4B Instructed's 32,000 tokens. Muse Spark 1.1 can generate longer responses up to 131,072 tokens, while Gemma 3n E4B Instructed is limited to 32,000 tokens.
Input Capabilities
Supported data types and modalities
Both Gemma 3n E4B Instructed and Muse Spark 1.1 support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Gemma 3n E4B Instructed
Muse Spark 1.1
License
Usage and distribution terms
Both models are licensed under proprietary licenses.
Both models have usage restrictions defined by their respective organizations.
Proprietary
Closed source
Proprietary
Closed source
Release Timeline
When each model was launched
Gemma 3n E4B Instructed was released on 2025-06-26, while Muse Spark 1.1 was released on 2026-07-09.
Muse Spark 1.1 is 13 months newer than Gemma 3n E4B Instructed.
Jun 26, 2025
1.1 years ago
Jul 9, 2026
1 weeks ago
1.0yr newerKnowledge Cutoff
When training data ends
Gemma 3n E4B Instructed has a documented knowledge cutoff of 2024-06-01, while Muse Spark 1.1's cutoff date is not specified.
We can confirm Gemma 3n E4B Instructed's training data extends to 2024-06-01, but cannot make a direct comparison without Muse Spark 1.1's cutoff date.
Jun 2024
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Provider Availability
Gemma 3n E4B Instructed is available from Together. Muse Spark 1.1 is available from Meta Model API.
Gemma 3n E4B Instructed
Muse Spark 1.1
Outputs Comparison
Key Takeaways
No standout differentiators in the data we have for this pair.
Detailed Comparison
Interactive Arena
Judge for yourself.
Run your own prompts against Gemma 3n E4B Instructed and Muse Spark 1.1 side-by-side, then vote on the output you prefer.
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FAQ
Common questions about Gemma 3n E4B Instructed vs Muse Spark 1.1.