whichLlmmodel
Back to Dashboard

GoogleGemini 3.5 Flash LiteVSMetaMuse Spark 1.1

Analysis by:the whichllmmodel Editorial Team|Updated: June 2026

Our Take

If your budget allows, Muse Spark 1.1 is the superior choice here, offering a clear benchmark advantage while carrying only a moderate price premium (2.4x). We recommend choosing Gemini 3.5 Flash Lite only if you need to optimize costs for very high-volume pipelines.
Was this recommendation helpful?
Model Specs

Gemini 3.5 Flash Lite

Benchmarks & Scores

Coding (swe-bench-pro)
54.2%

excellent at multi-file repositories, autonomous agents, and industrial codebases

Reasoning (gpqa-diamond)
84%

graduate-level science QA

Cost & Context

Cost (per 1M tokens)2.4x cheaper
$0.85Input: $0.30 | Output: $2.50
Context Window
1.05M tokens
Model Specs

Muse Spark 1.1

Benchmarks & Scores

Coding (swe-bench-pro)Winner (+7.3%)
61.5%

excellent at multi-file repositories, autonomous agents, and industrial codebases

Reasoning (gpqa-diamond)Winner (+7.2%)
91.16%

graduate-level science QA

Cost & Context

Cost (per 1M tokens)
$2.00Input: $1.25 | Output: $4.25
Context Window
1.05M tokens

Frequently Asked Questions about Gemini 3.5 Flash Lite vs Muse Spark 1.1

Gemini 3.5 Flash Lite is cheaper than Muse Spark 1.1. Gemini 3.5 Flash Lite has a blended cost of $0.85/1M tokens, which is about 2.4x cheaper than Muse Spark 1.1 at $2.00/1M tokens.

Muse Spark 1.1 is better for coding tasks on this benchmark. It scores 61.5% on swe-bench-pro (excellent at multi-file repositories, autonomous agents, and industrial codebases) compared to Gemini 3.5 Flash Lite which scores 54.2%.

Do you want to find a model for your constraints?

Use our interactive model finder to filter LLMs by reasoning capability, coding performance, cost, and context length.

Open Model Finder