Meta Muse Spark 1.1 VS Z.ai (Zhipu AI) GLM-5.2
Decision Recommendation
⚖️ Editorial Verdict: In our analysis, GLM-5.2 is the premium intelligence choice, scoring 0.6% higher on coding benchmarks. However, this accuracy premium comes with a cost overhead: Muse Spark 1.1 is 1.1x cheaper to run. If you are building high-volume, simple chatbots or processing massive amounts of text where budget is critical, Muse Spark 1.1 offers excellent cost savings. For agentic reasoning, code refactoring, or complex logical tasks, the accuracy premium of GLM-5.2 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)1.1x cheaper
$2.00Input: $1.25 | Output: $4.25Context Window
1.05M tokensModel Specs
GLM-5.2
Benchmarks & Scores
Coding (swe-bench-pro)Winner (+0.6%)
62.1%excellent at multi-file repositories, autonomous agents, and industrial codebases
Reasoning (gpqa-diamond)Winner (+0.0%)
91.2%graduate-level science QA
Cost & Performance
Cost (per 1M tokens)
$2.15Input: $1.40 | Output: $4.40Context Window
1.05M tokensFrequently Asked Questions about Muse Spark 1.1 vs GLM-5.2 comparison
Muse Spark 1.1 is cheaper than GLM-5.2. Muse Spark 1.1 has a blended cost of $2.00/1M tokens, which is about 1.1x cheaper than GLM-5.2 at $2.15/1M tokens.
GLM-5.2 is better for coding tasks on this benchmark. It scores 62.1% on swe-bench-pro (excellent at multi-file repositories, autonomous agents, and industrial codebases) compared to Muse Spark 1.1 which scores 61.5%.
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