head-to-head
Z.ai: GLM Flash Latest vs Meta: Muse Spark 1.1
Side-by-side comparison of specs, pricing, benchmark scores, and task rankings. Updated 2026-09-04.
| Z.ai: GLM Flash Latest | Meta: Muse Spark 1.1 | |
|---|---|---|
| Vendor | ~z-ai | meta |
| Quality Score | 100 | 100 |
| Benchmark Score | - | 84.7 |
| Input Price | $0.07/M | $1.25/M |
| Output Price | $0.25/M | $4.25/M |
| Context Window | 1,310,720 | 1,048,576 |
| Max Output | 943,718 | 943,718 |
| Tool Calling | ✓ | ✓ |
| Structured Output | ✓ | ✓ |
| Reasoning Mode | ✓ | ✓ |
| Vision | ✓ | ✓ |
| Audio | - | ✓ |
| Benchmark Scores | ||
| ai_index | - | 87.8 |
| ai_index_agentic | - | 65.6 |
| ai_index_coding | - | 100.0 |
Who wins by task?
| Task | Z.ai: GLM Flash Latest | Meta: Muse Spark 1.1 |
|---|---|---|
| SQL Generation | 134 | 170 |
| Code Review | 132 | 166 |
| Code Completion | 131 | 120 |
| Code Refactoring | 136 | 163 |
| Bug Fixing | 136 | 178 |
| Unit Test Generation | 124 | 153 |
| Code Documentation | 131 | 142 |
| Regex Writing | 119 | 135 |
| CI/CD Pipelines | 120 | 144 |
| Frontend Component Design | 122 | 146 |
| Data Analysis | 124 | 168 |
| CSV / Spreadsheet Cleanup | 134 | 153 |
| ETL Scripting | 128 | 153 |
| JSON Extraction | 131 | 139 |
| Bulk Data Labeling | 129 | 126 |
| OCR / Document Parsing | 131 | 146 |
| Table Extraction from PDFs | 131 | 146 |
| Long-Document Summarization | 138 | 159 |
| Short-Form Summarization | 123 | 123 |
| Blog Post Writing | 122 | 139 |
Scores reflect capability match + benchmark data + pricing for each task. Methodology →
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