head-to-head
Z.ai: GLM 5.3 Flash vs Ling-3.0-flash
Side-by-side comparison of specs, pricing, benchmark scores, and task rankings. Updated 2026-08-27.
| Z.ai: GLM 5.3 Flash | Ling-3.0-flash | |
|---|---|---|
| Vendor | z-ai | inclusionai |
| Quality Score | 100 | 100 |
| Benchmark Score | 97.4 | 64.4 |
| Input Price | $0.07/M | $0.02/M |
| Output Price | $0.25/M | $0.06/M |
| Context Window | 1,310,720 | 262,144 |
| Max Output | 131,072 | 32,768 |
| Tool Calling | ✓ | ✓ |
| Structured Output | ✓ | ✓ |
| Reasoning Mode | ✓ | ✓ |
| Vision | ✓ | - |
| Audio | - | - |
| Benchmark Scores | ||
| ai_index | 94.8 | 62.4 |
| ai_index_agentic | 96.0 | 48.4 |
| ai_index_coding | 100.0 | 83.6 |
Who wins by task?
| Task | Z.ai: GLM 5.3 Flash | Ling-3.0-flash |
|---|---|---|
| SQL Generation | 175 | 159 |
| Code Review | 170 | 152 |
| Code Completion | 133 | 130 |
| Code Refactoring | 166 | 148 |
| Bug Fixing | 186 | 162 |
| Unit Test Generation | 157 | 144 |
| Code Documentation | 145 | 135 |
| Regex Writing | 139 | 132 |
| CI/CD Pipelines | 147 | 135 |
| Frontend Component Design | 149 | 110 |
| Data Analysis | 176 | 158 |
| CSV / Spreadsheet Cleanup | 155 | 145 |
| ETL Scripting | 157 | 142 |
| JSON Extraction | 149 | 146 |
| Bulk Data Labeling | 135 | 134 |
| OCR / Document Parsing | 147 | 95 |
| Table Extraction from PDFs | 147 | 95 |
| Long-Document Summarization | 162 | 146 |
| Short-Form Summarization | 133 | 130 |
| Blog Post Writing | 143 | 133 |
Scores reflect capability match + benchmark data + pricing for each task. Methodology →
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