head-to-head

OpenAI: GPT-5.6 Terra 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 Terra Z.ai: GLM 5V Turbo
Vendoropenaiz-ai
Quality Score100100
Benchmark Score93.056.8
Input Price$2.00/M$1.20/M
Output Price$12.00/M$4.00/M
Context Window1,050,000202,752
Max Output128,000131,072
Tool Calling✓✓
Structured Output✓✓
Reasoning Mode✓✓
Vision✓✓
Audio--
Benchmark Scores
ai_index90.756.9
ai_index_agentic78.2-
ai_index_coding100.0-

The verdict

For a sample job of 1 million input tokens and 250,000 output tokens, GLM 5V Turbo costs $2.20 and GPT-5.6 Terra costs $5.00, so GLM 5V Turbo is about 2.3 times cheaper for the same work.

GPT-5.6 Terra 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 Terra leads 93.0 to 56.8.

Across the 20 tasks where they differ, GPT-5.6 Terra scores higher on 20 (SQL Generation, Code Review, Code Completion and others).

GPT-5.6 Terra was released in July 2026 and GLM 5V Turbo in April 2026.

Pick GPT-5.6 Terra if you need long documents, benchmark performance or the stronger all-round task scores; pick GLM 5V Turbo if you need lower cost or 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?

TaskOpenAI: GPT-5.6 TerraZ.ai: GLM 5V Turbo
SQL Generation 171 136
Code Review 168 134
Code Completion 119 116
Code Refactoring 165 133
Bug Fixing 181 138
Unit Test Generation 155 126
Code Documentation 141 128
Regex Writing 135 124
CI/CD Pipelines 145 122
Frontend Component Design 147 128
Data Analysis 171 132
CSV / Spreadsheet Cleanup 153 127
ETL Scripting 155 128
JSON Extraction 138 123
Bulk Data Labeling 123 120
OCR / Document Parsing 147 129
Table Extraction from PDFs 147 129
Long-Document Summarization 159 134
Short-Form Summarization 122 117
Blog Post Writing 140 124

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

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