OpenAI: GPT-5.6 Luna vs Z.ai: GLM 5V Turbo
Side-by-side comparison of specs, pricing, benchmark scores, and task rankings. Updated 2026-11-07.
| OpenAI: GPT-5.6 Luna | Z.ai: GLM 5V Turbo | |
|---|---|---|
| Vendor | openai | z-ai |
| Quality Score | 100 | 100 |
| Benchmark Score | 89.4 | 56.8 |
| Input Price | $0.20/M | $1.20/M |
| Output Price | $1.20/M | $4.00/M |
| Context Window | 1,050,000 | 202,752 |
| Max Output | 128,000 | 131,072 |
| Tool Calling | ✓ | ✓ |
| Structured Output | ✓ | ✓ |
| Reasoning Mode | ✓ | ✓ |
| Vision | ✓ | ✓ |
| Audio | - | - |
| Benchmark Scores | ||
| ai_index | 84.5 | 56.9 |
| ai_index_agentic | 75.2 | - |
| ai_index_coding | 100.0 | - |
The verdict
For a sample job of 1 million input tokens and 250,000 output tokens, GPT-5.6 Luna costs $0.50 and GLM 5V Turbo costs $2.20, so GPT-5.6 Luna is about 4.4 times cheaper for the same work.
GPT-5.6 Luna reads up to 1,050,000 tokens at once, roughly 1,575 pages of text, against about 304 pages for GLM 5V Turbo.
Only GLM 5V Turbo offers video input.
On our blended benchmark score GPT-5.6 Luna leads 89.4 to 56.8.
Across the 20 tasks where they differ, GPT-5.6 Luna scores higher on 20 (SQL Generation, Code Review, Code Completion and others).
GPT-5.6 Luna was released in July 2026 and GLM 5V Turbo in April 2026.
Pick GPT-5.6 Luna if you need lower cost, long documents, benchmark performance or the stronger all-round task scores; pick GLM 5V Turbo if you need video input.
Costs use current list prices per million tokens; page counts assume about 0.75 words per token and 500 words per page.
Who wins by task?
| Task | OpenAI: GPT-5.6 Luna | Z.ai: GLM 5V Turbo |
|---|---|---|
| SQL Generation | 171 | 136 |
| Code Review | 166 | 134 |
| Code Completion | 133 | 116 |
| Code Refactoring | 163 | 133 |
| Bug Fixing | 179 | 138 |
| Unit Test Generation | 154 | 126 |
| Code Documentation | 143 | 128 |
| Regex Writing | 136 | 124 |
| CI/CD Pipelines | 144 | 122 |
| Frontend Component Design | 146 | 128 |
| Data Analysis | 170 | 132 |
| CSV / Spreadsheet Cleanup | 154 | 127 |
| ETL Scripting | 154 | 128 |
| JSON Extraction | 149 | 123 |
| Bulk Data Labeling | 135 | 120 |
| OCR / Document Parsing | 146 | 129 |
| Table Extraction from PDFs | 146 | 129 |
| Long-Document Summarization | 159 | 134 |
| Short-Form Summarization | 132 | 117 |
| Blog Post Writing | 140 | 124 |
Scores reflect capability match + benchmark data + pricing for each task. Methodology →