Model Comparison
Gemini 3.1 Flash-Lite vs Muse Spark 1.1Which is better in 2026?
Muse Spark 1.1 significantly outperforms across most benchmarks. Gemini 3.1 Flash-Lite is 3.6x cheaper per token.
Verdict: Gemini 3.1 Flash-Lite vs Muse Spark 1.1 — which is better?
Gemini 3.1 Flash-Lite (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.
Gemini 3.1 Flash-Lite outperforms in 0 benchmarks, while Muse Spark 1.1 is better at 3 benchmarks (CharXiv-R, Finance Agent v2, Humanity's Last Exam). Muse Spark 1.1 significantly outperforms across most benchmarks.
On price, Gemini 3.1 Flash-Lite is roughly 3.6x 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 Gemini 3.1 Flash-Lite if…
- cost matters — it's about 3.6x cheaper per token
Choose Muse Spark 1.1 if…
- you want the strongest raw capability — it leads on 3 of 3 shared benchmarks
- 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
Gemini 3.1 Flash-Lite outperforms in 0 benchmarks, while Muse Spark 1.1 is better at 3 benchmarks (CharXiv-R, Finance Agent v2, Humanity's Last Exam).
Muse Spark 1.1 significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, Gemini 3.1 Flash-Lite ($0.25/1M tokens) is 5.0x cheaper than Muse Spark 1.1 ($1.25/1M tokens).
For output processing, Gemini 3.1 Flash-Lite ($1.50/1M tokens) is 2.8x cheaper than Muse Spark 1.1 ($4.25/1M tokens).
In conclusion, Muse Spark 1.1 is more expensive than Gemini 3.1 Flash-Lite.*
* 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 Gemini 3.1 Flash-Lite's 1,000,000 tokens. Muse Spark 1.1 can generate longer responses up to 131,072 tokens, while Gemini 3.1 Flash-Lite is limited to 65,536 tokens.
Input Capabilities
Supported data types and modalities
Both Gemini 3.1 Flash-Lite and Muse Spark 1.1 support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Gemini 3.1 Flash-Lite
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
Gemini 3.1 Flash-Lite was released on 2026-03-03, while Muse Spark 1.1 was released on 2026-07-09.
Muse Spark 1.1 is 4 months newer than Gemini 3.1 Flash-Lite.
Mar 3, 2026
4 months ago
Jul 9, 2026
1 weeks ago
4mo newerKnowledge Cutoff
When training data ends
Gemini 3.1 Flash-Lite has a documented knowledge cutoff of 2025-01-31, while Muse Spark 1.1's cutoff date is not specified.
We can confirm Gemini 3.1 Flash-Lite's training data extends to 2025-01-31, but cannot make a direct comparison without Muse Spark 1.1's cutoff date.
Jan 2025
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Provider Availability
Gemini 3.1 Flash-Lite is available from Google. Muse Spark 1.1 is available from Meta Model API.
Gemini 3.1 Flash-Lite
Muse Spark 1.1
Outputs Comparison
Key Takeaways
Detailed Comparison
Interactive Arena
Judge for yourself.
Run your own prompts against Gemini 3.1 Flash-Lite and Muse Spark 1.1 side-by-side, then vote on the output you prefer.
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FAQ
Common questions about Gemini 3.1 Flash-Lite vs Muse Spark 1.1.