head-to-head

Z.ai: GLM 5.3 Flash vs OpenAI: GPT-5.6 Luna (batch)

Side-by-side comparison of specs, pricing, benchmark scores, and task rankings. Updated 2026-10-11.

Z.ai: GLM 5.3 Flash OpenAI: GPT-5.6 Luna (batch)
Vendorz-aiopenai
Quality Score100100
Benchmark Score70.662.3
Input Price$0.15/M$0.10/M
Output Price$0.50/M$0.60/M
Context Window1,048,5761,050,000
Max Output943,717128,000
Tool Calling✓✓
Structured Output✓✓
Reasoning Mode✓✓
Vision✓✓
Audio--
Benchmark Scores
ai_index69.061.6

The verdict

For a sample job of 1 million input tokens and 250,000 output tokens, GPT-5.6 Luna (batch) costs $0.25 and GLM 5.3 Flash costs $0.28, so GPT-5.6 Luna (batch) is slightly cheaper for the same work.

Both take in a similar amount of text: 1,048,576 and 1,050,000 tokens, about 1,573 and 1,575 pages.

Only GLM 5.3 Flash offers video input.

On our blended benchmark score GLM 5.3 Flash leads 70.6 to 62.3.

Across the 18 tasks where they differ, GLM 5.3 Flash scores higher on 18 (SQL Generation, Code Review, Code Completion and others).

GLM 5.3 Flash was released in August 2026 and GPT-5.6 Luna (batch) in July 2026.

Pick GLM 5.3 Flash if you need video input, benchmark performance or the stronger all-round task scores; pick GPT-5.6 Luna (batch) if you need lower cost.

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?

TaskZ.ai: GLM 5.3 FlashOpenAI: GPT-5.6 Luna (batch)
SQL Generation 142 141
Code Review 145 143
Code Completion 133 133
Code Refactoring 147 145
Bug Fixing 149 147
Unit Test Generation 132 131
Code Documentation 138 137
Regex Writing 126 126
CI/CD Pipelines 128 127
Frontend Component Design 130 129
Data Analysis 134 133
CSV / Spreadsheet Cleanup 136 136
ETL Scripting 137 136
OCR / Document Parsing 134 134
Table Extraction from PDFs 134 134
Long-Document Summarization 149 147
Short-Form Summarization 127 126
Blog Post Writing 130 129

Scores reflect capability match + benchmark data + pricing for each task. Methodology →

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