head-to-head
Meta: Muse Spark 1.3 vs Z.ai: GLM Flash Latest
Side-by-side comparison of specs, pricing, benchmark scores, and task rankings. Updated 2026-09-04.
| Meta: Muse Spark 1.3 | Z.ai: GLM Flash Latest | |
|---|---|---|
| Vendor | meta | ~z-ai |
| Quality Score | 100 | 100 |
| Benchmark Score | 99.3 | - |
| Input Price | $1.25/M | $0.07/M |
| Output Price | $4.25/M | $0.25/M |
| Context Window | 1,048,576 | 1,310,720 |
| Max Output | 943,718 | 943,718 |
| Tool Calling | ✓ | ✓ |
| Structured Output | ✓ | ✓ |
| Reasoning Mode | ✓ | ✓ |
| Vision | ✓ | ✓ |
| Audio | ✓ | - |
| Benchmark Scores | ||
| ai_index | 100.0 | - |
| ai_index_agentic | 97.8 | - |
| ai_index_coding | 100.0 | - |
Who wins by task?
| Task | Meta: Muse Spark 1.3 | Z.ai: GLM Flash Latest |
|---|---|---|
| SQL Generation | 176 | 134 |
| Code Review | 171 | 132 |
| Code Completion | 120 | 131 |
| Code Refactoring | 167 | 136 |
| Bug Fixing | 187 | 136 |
| Unit Test Generation | 157 | 124 |
| Code Documentation | 144 | 131 |
| Regex Writing | 138 | 119 |
| CI/CD Pipelines | 147 | 120 |
| Frontend Component Design | 149 | 122 |
| Data Analysis | 177 | 124 |
| CSV / Spreadsheet Cleanup | 155 | 134 |
| ETL Scripting | 157 | 128 |
| JSON Extraction | 140 | 131 |
| Bulk Data Labeling | 126 | 129 |
| OCR / Document Parsing | 148 | 131 |
| Table Extraction from PDFs | 148 | 131 |
| Long-Document Summarization | 163 | 138 |
| Short-Form Summarization | 124 | 123 |
| Blog Post Writing | 143 | 122 |
Scores reflect capability match + benchmark data + pricing for each task. Methodology →
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