Meta Muse Spark 1.1 VS OpenAI GPT-5.4 nano

✍️ 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 9.1% higher on coding benchmarks. However, this accuracy premium comes with a cost overhead: GPT-5.4 nano is 4.3x cheaper to run. If you are building high-volume, simple chatbots or processing massive amounts of text where budget is critical, GPT-5.4 nano 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 (+9.1%)

61.5%

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

Reasoning (gpqa-diamond)Winner (+8.4%)

91.16%

graduate-level science QA

Cost & Performance

Cost (per 1M tokens)

$2.00Input: $1.25 | Output: $4.25

Context WindowLarger

1.05M tokens

Model Specs

GPT-5.4 nano

Benchmarks & Scores

Coding (swe-bench-pro)

52.4%

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

Reasoning (gpqa-diamond)

82.8%

graduate-level science QA

Cost & Performance

Cost (per 1M tokens)4.3x cheaper

$0.46Input: $0.20 | Output: $1.25

Context Window

400k tokens

Read our data collection methodology

Frequently Asked Questions about Muse Spark 1.1 vs GPT-5.4 nano comparison

GPT-5.4 nano is cheaper than Muse Spark 1.1. GPT-5.4 nano has a blended cost of $0.46/1M tokens, which is about 4.3x 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 GPT-5.4 nano which scores 52.4%.

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