Meta Muse Spark 1.1 VS OpenAI GPT-5.5

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

Decision Recommendation

⚖️ Editorial Verdict: In our analysis, Muse Spark 1.1 is the premium intelligence choice, scoring 2.9% higher on coding benchmarks. It also maintains strong cost efficiency. If you are building high-volume, simple chatbots or processing massive amounts of text where budget is critical, GPT-5.5 offers excellent cost savings. For agentic reasoning, code refactoring, or complex logical tasks, the accuracy premium of Muse Spark 1.1 fully justifies the cost.

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Model Specs

Muse Spark 1.1

Benchmarks & Scores

Coding (swe-bench-pro)Winner (+2.9%)

61.5%

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

Reasoning (gpqa-diamond)

91.16%

graduate-level science QA

Cost & Performance

Cost (per 1M tokens)5.6x cheaper

$2.00Input: $1.25 | Output: $4.25

Context Window

1.05M tokens

Model Specs

GPT-5.5

Benchmarks & Scores

Coding (swe-bench-pro)

58.6%

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

Reasoning (gpqa-diamond)Winner (+2.4%)

93.6%

graduate-level science QA

Cost & Performance

Cost (per 1M tokens)

$11.25Input: $5.00 | Output: $30.00

Context WindowLarger

1.05M tokens

Read our data collection methodology

Frequently Asked Questions about Muse Spark 1.1 vs GPT-5.5 comparison

Muse Spark 1.1 is cheaper than GPT-5.5. Muse Spark 1.1 has a blended cost of $2.00/1M tokens, which is about 5.6x cheaper than GPT-5.5 at $11.25/1M 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 GPT-5.5 which scores 58.6%.

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