head-to-head
Mistral: Mistral Medium 3.5 vs Z.ai: GLM 5V Turbo
Side-by-side comparison of specs, pricing, benchmark scores, and task rankings. Updated 2026-06-23.
| Mistral: Mistral Medium 3.5 | Z.ai: GLM 5V Turbo | |
|---|---|---|
| Vendor | mistralai | z-ai |
| Quality Score | 100 | 100 |
| Benchmark Score | 52.2 | 56.8 |
| Input Price | $1.50/M | $1.20/M |
| Output Price | $7.50/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 | 49.4 | 56.9 |
| ai_index_agentic | 31.3 | - |
| ai_index_coding | 77.4 | - |
Who wins by task?
| Task | Mistral: Mistral Medium 3.5 | Z.ai: GLM 5V Turbo |
|---|---|---|
| SQL Generation | 153 | 136 |
| Code Review | 147 | 134 |
| Code Completion | 116 | 116 |
| Code Refactoring | 144 | 133 |
| Bug Fixing | 155 | 138 |
| Unit Test Generation | 140 | 126 |
| Code Documentation | 131 | 128 |
| Regex Writing | 128 | 124 |
| CI/CD Pipelines | 132 | 122 |
| Frontend Component Design | 137 | 128 |
| Data Analysis | 151 | 132 |
| CSV / Spreadsheet Cleanup | 142 | 127 |
| ETL Scripting | 138 | 128 |
| JSON Extraction | 134 | 123 |
| Bulk Data Labeling | 123 | 120 |
| OCR / Document Parsing | 139 | 129 |
| Table Extraction from PDFs | 139 | 129 |
| Long-Document Summarization | 141 | 134 |
| Short-Form Summarization | 119 | 117 |
| Blog Post Writing | 129 | 124 |
Scores reflect capability match + benchmark data + pricing for each task. Methodology →
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