head-to-head
Google: Gemma 4 26B A4B vs Z.ai: GLM 5V Turbo
Side-by-side comparison of specs, pricing, benchmark scores, and task rankings. Updated 2026-06-23.
| Google: Gemma 4 26B A4B | Z.ai: GLM 5V Turbo | |
|---|---|---|
| Vendor | z-ai | |
| Quality Score | 100 | 100 |
| Benchmark Score | 51.0 | 56.8 |
| Input Price | $0.06/M | $1.20/M |
| Output Price | $0.33/M | $4.00/M |
| Context Window | 262,144 | 202,752 |
| Max Output | - | 131,072 |
| Tool Calling | ✓ | ✓ |
| Structured Output | ✓ | ✓ |
| Reasoning Mode | ✓ | ✓ |
| Vision | ✓ | ✓ |
| Audio | - | - |
| Benchmark Scores | ||
| ai_index | 42.4 | 56.9 |
| ai_index_agentic | 18.1 | - |
| ai_index_coding | 64.9 | - |
| eqbench | 70.0 | - |
Who wins by task?
| Task | Google: Gemma 4 26B A4B | Z.ai: GLM 5V Turbo |
|---|---|---|
| SQL Generation | 154 | 136 |
| Code Review | 151 | 134 |
| Code Completion | 132 | 116 |
| Code Refactoring | 150 | 133 |
| Bug Fixing | 158 | 138 |
| Unit Test Generation | 141 | 126 |
| Code Documentation | 137 | 128 |
| Regex Writing | 130 | 124 |
| CI/CD Pipelines | 134 | 122 |
| Frontend Component Design | 137 | 128 |
| Data Analysis | 149 | 132 |
| CSV / Spreadsheet Cleanup | 144 | 127 |
| ETL Scripting | 142 | 128 |
| JSON Extraction | 142 | 123 |
| Bulk Data Labeling | 133 | 120 |
| OCR / Document Parsing | 139 | 129 |
| Table Extraction from PDFs | 139 | 129 |
| Long-Document Summarization | 149 | 134 |
| Short-Form Summarization | 129 | 117 |
| Blog Post Writing | 132 | 124 |
Scores reflect capability match + benchmark data + pricing for each task. Methodology →
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