head-to-head

Z.ai: GLM 5.3 Flash (batch) vs Meta: Muse Spark 1.2 Contributor

Side-by-side comparison of specs, pricing, benchmark scores, and task rankings. Updated 2026-10-04.

Z.ai: GLM 5.3 Flash (batch) Meta: Muse Spark 1.2 Contributor
Vendorz-aimeta
Quality Score100100
Benchmark Score70.6-
Input Price$0.06/M$0.10/M
Output Price$0.20/M$0.20/M
Context Window1,048,5761,048,576
Max Output131,072943,718
Tool Calling✓✓
Structured Output✓✓
Reasoning Mode✓✓
Vision✓✓
Audio--
Benchmark Scores
ai_index69.0-

The verdict

For a sample job of 1 million input tokens and 250,000 output tokens, GLM 5.3 Flash (batch) costs $0.11 and Muse Spark 1.2 Contributor costs $0.15, so GLM 5.3 Flash (batch) is about 1.4 times cheaper for the same work.

Both read up to 1,048,576 tokens at once, roughly 1,573 pages of text.

Across the 18 tasks where they differ, GLM 5.3 Flash (batch) scores higher on 18 (SQL Generation, Code Review, Code Completion and others).

Pick GLM 5.3 Flash (batch) if you need lower cost or the stronger all-round task scores.

Costs use current list prices per million tokens; page counts assume about 0.75 words per token and 500 words per page.

Who wins by task?

TaskZ.ai: GLM 5.3 Flash (batch)Meta: Muse Spark 1.2 Contributor
SQL Generation 142 134
Code Review 145 132
Code Completion 133 131
Code Refactoring 147 136
Bug Fixing 149 136
Unit Test Generation 132 124
Code Documentation 138 131
Regex Writing 126 119
CI/CD Pipelines 128 120
Frontend Component Design 130 122
Data Analysis 134 124
CSV / Spreadsheet Cleanup 136 134
ETL Scripting 137 128
OCR / Document Parsing 134 131
Table Extraction from PDFs 134 131
Long-Document Summarization 149 138
Short-Form Summarization 127 123
Blog Post Writing 130 122

Scores reflect capability match + benchmark data + pricing for each task. Methodology →

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