Gemma 3n E4B Instructed vs Muse Spark 1.3
Muse Spark 1.3 leads the LLM Stats Score 55.3 to -4.5. Muse Spark 1.3 is 200.0x cheaper per token.
Google · Meta · Updated for 2026
Which is better?
Muse Spark 1.3 leads the overall LLM Stats Score 55.3 to -4.5, ranking #5 overall.
On price, Muse Spark 1.3 is roughly 200.0x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Muse Spark 1.3 also accepts a larger context window (1,048,576 input tokens), making it the stronger choice for long documents and large codebases.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose Gemma 3n E4B Instructed
- you want predictable pricing at $20.00/M input and $40.00/M output
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
- cost matters — it's about 200.0x 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 Sep 2026
At a glance
The differences that matter most.
Individual benchmarks
18 reported for Gemma 3n E4B Instructed · 11 for Muse Spark 1.3
Gemma 3n E4B Instructed and Muse Spark 1.3don'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
Pricing Analysis
Price comparison per million tokens
For input processing, Gemma 3n E4B Instructed ($20.00/1M tokens) is 200.0x more expensive than Muse Spark 1.3 ($0.10/1M tokens).
For output processing, Gemma 3n E4B Instructed ($40.00/1M tokens) is 200.0x more expensive than Muse Spark 1.3 ($0.20/1M tokens).
In conclusion, Gemma 3n E4B Instructed is more expensive than Muse Spark 1.3.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Muse Spark 1.3 accepts 1,048,576 input tokens compared to Gemma 3n E4B Instructed's 32,000 tokens. Muse Spark 1.3 can generate longer responses up to 943,718 tokens, while Gemma 3n E4B Instructed is limited to 32,000 tokens.
Input capabilities
Documented input modalities across available providers
Both Gemma 3n E4B Instructed and Muse Spark 1.3 support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Gemma 3n E4B Instructed
Muse Spark 1.3
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 1.3 was released on 2026-09-02.
Muse Spark 1.3 is 14 months newer than Gemma 3n E4B Instructed.
Jun 26, 2025
1.2 years ago
Sep 2, 2026
2 days ago
1.2yr newerKnowledge Cutoff
When training data ends
Gemma 3n E4B Instructed has a documented knowledge cutoff of 2024-06-01, while Muse Spark 1.3'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 1.3's cutoff date.
Jun 2024
—
Provider Availability
Gemma 3n E4B Instructed is available from Together. Muse Spark 1.3 is available from Meta Model API.
Gemma 3n E4B Instructed
Muse Spark 1.3
Outputs Comparison
Judge for yourself.
Run your own prompts against Gemma 3n E4B Instructed and Muse Spark 1.3 side-by-side, then vote on the output you prefer.
FAQ
Common questions about Gemma 3n E4B Instructed vs Muse Spark 1.3.