GoogleGemini 3.6 FlashVSMetaMuse Spark 1.1

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

Our Take

Both models perform almost identically, with an average score gap of just 2.3%. We recommend choosing Muse Spark 1.1 as it is the more cost-effective option (being 1.5x cheaper) without sacrificing any real-world capability.

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Model Specs

Gemini 3.6 Flash

Website

Benchmarks & Scores

Coding (swe-bench-pro)

58.7%

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

Reasoning (gpqa-diamond)Winner (+1.8%)

93%

graduate-level science QA

Cost & Context

Cost (per 1M tokens)

$3.00Input: $1.50 | Output: $7.50

Context Window

1.05M tokens

Model Specs

Muse Spark 1.1

Website

Benchmarks & Scores

Coding (swe-bench-pro)Winner (+2.8%)

61.5%

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

Reasoning (gpqa-diamond)

91.16%

graduate-level science QA

Cost & Context

Cost (per 1M tokens)1.5x cheaper

$2.00Input: $1.25 | Output: $4.25

Context Window

1.05M tokens

Read our data collection methodology

Frequently Asked Questions about Gemini 3.6 Flash vs Muse Spark 1.1

Muse Spark 1.1 is cheaper than Gemini 3.6 Flash. Muse Spark 1.1 has a blended cost of $2.00/1M tokens, which is about 1.5x cheaper than Gemini 3.6 Flash at $3.00/1M 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 3.6 Flash which scores 58.7%.

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