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Meta Muse Spark 1.1 VS OpenAI GPT-5.5 Pro

✍️ 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 61.5% 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 Pro 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)
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)33.8x cheaper
$2.00Input: $1.25 | Output: $4.25
Context Window
1.05M tokens
Model Specs

GPT-5.5 Pro

Benchmarks & Scores

Coding (swe-bench-pro)
N/A

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

Reasoning (gpqa-diamond)Winner (+5.0%)
96.2%

graduate-level science QA

Cost & Performance

Cost (per 1M tokens)
$67.50Input: $30.00 | Output: $180.00
Context WindowLarger
1.05M tokens

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

Muse Spark 1.1 is cheaper than GPT-5.5 Pro. Muse Spark 1.1 has a blended cost of $2.00/1M tokens, which is about 33.8x cheaper than GPT-5.5 Pro at $67.50/1M 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 Pro which scores N/A.