Gemini 3.1 Flash Lite vs Muse Spark 1.3

What are we comparing?

This comparison pits two budget models, built for high volumes at a low price against each other: Gemini 3.1 Flash Lite and Muse Spark 1.3, one from Google DeepMind, the other from Meta. The first dates from May 7, 2026, the second from September 2, 2026.

All figures below come from public sources checked on October 22, 2026: models.dev and OpenRouter for prices and capabilities, Epoch AI for scores.

What the benchmarks say

On our capability index, Gemini 3.1 Flash Lite scores 64.3 out of 100 and Muse Spark 1.3 82.7. Muse Spark 1.3 leads by 18.4 points.

On the 2 benchmarks reported for both, Gemini 3.1 Flash Lite wins 0 times and Muse Spark 1.3 2:

• OTIS Mock AIME (competition mathematics problems): Gemini 3.1 Flash Lite 80%, Muse Spark 1.3 99.2%
• FrontierMath (very hard research-level mathematics): Gemini 3.1 Flash Lite 27.7%, Muse Spark 1.3 74.4%

Pricing

Gemini 3.1 Flash Lite costs $0.25 per million input tokens and $1.5 per million output tokens; Muse Spark 1.3 costs $0.10 and $0.20.

For a typical agent task (read 20,000 tokens, write 2,000), expect $0.008 with Gemini 3.1 Flash Lite versus $0.002 with Muse Spark 1.3. Muse Spark 1.3 is 3.3 times cheaper, a gap that adds up quickly over 1,000 tasks: $5.6 difference.

Run the numbers with your own volumes in the agent cost calculator.

Under the hood

Both models have the same context window: 1,048,576 tokens, roughly 1,573 pages.

Reasoning mode: Gemini 3.1 Flash Lite yes, Muse Spark 1.3 yes. Tool calling: Gemini 3.1 Flash Lite yes, Muse Spark 1.3 yes. Image input: Gemini 3.1 Flash Lite yes, Muse Spark 1.3 yes.

Neither publishes its weights: both are used through an API.

In short

Our reading of the data:

• Choose Muse Spark 1.3 for a higher capability index, a lower cost and a more recent release.

This verdict relies on public figures; it does not replace a trial on your own tasks.