Meta Muse Spark 1.1 VS OpenAI GPT-5 mini

✍️ 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 15.8% higher on coding benchmarks. However, this accuracy premium comes with a cost overhead: GPT-5 mini is 2.9x cheaper to run. If you are building high-volume, simple chatbots or processing massive amounts of text where budget is critical, GPT-5 mini 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.

Was this recommendation helpful?

Model Specs

Muse Spark 1.1

Benchmarks & Scores

Coding (swe-bench-pro)Winner (+15.8%)

61.5%

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

Reasoning (gpqa-diamond)Winner (+9.6%)

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 mini

Benchmarks & Scores

Coding (swe-bench-pro)

45.7%

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

Reasoning (gpqa-diamond)

81.6%

graduate-level science QA

Cost & Performance

Cost (per 1M tokens)2.9x cheaper

$0.69Input: $0.25 | Output: $2.00

Context Window

400k tokens

Read our data collection methodology

Frequently Asked Questions about Muse Spark 1.1 vs GPT-5 mini comparison

GPT-5 mini is cheaper than Muse Spark 1.1. GPT-5 mini has a blended cost of $0.69/1M tokens, which is about 2.9x 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 mini which scores 45.7%.

Related Matchups

Explore similar comparisons for Muse Spark 1.1 and GPT-5 mini.

Browse More Comparisons