head-to-head

Z.ai: GLM 5V Turbo vs OpenAI: GPT-5.4

Side-by-side comparison of specs, pricing, benchmark scores, and task rankings. Updated 2026-11-07.

Z.ai: GLM 5V Turbo OpenAI: GPT-5.4
Vendorz-aiopenai
Quality Score100100
Benchmark Score56.889.6
Input Price$1.20/M$2.50/M
Output Price$4.00/M$15.00/M
Context Window202,7521,050,000
Max Output131,072128,000
Tool Calling✓✓
Structured Output✓✓
Reasoning Mode✓✓
Vision✓✓
Audio--
Benchmark Scores
ai_index56.984.8
ai_index_agentic-67.8
ai_index_coding-100.0
eqbench-75.6

The verdict

For a sample job of 1 million input tokens and 250,000 output tokens, GLM 5V Turbo costs $2.20 and GPT-5.4 costs $6.25, so GLM 5V Turbo is about 2.8 times cheaper for the same work.

GPT-5.4 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-5.4 leads 89.6 to 56.8.

Across the 20 tasks where they differ, GPT-5.4 on 20 (SQL Generation, Code Review, Code Completion and others).

GLM 5V Turbo was released in April 2026 and GPT-5.4 in March 2026.

Pick GLM 5V Turbo if you need lower cost or video input; pick GPT-5.4 if you need long documents, benchmark performance or the stronger all-round task scores.

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 5V TurboOpenAI: GPT-5.4
SQL Generation 136 174
Code Review 134 175
Code Completion 116 120
Code Refactoring 133 173
Bug Fixing 138 187
Unit Test Generation 126 158
Code Documentation 128 146
Regex Writing 124 136
CI/CD Pipelines 122 149
Frontend Component Design 128 148
Data Analysis 132 173
CSV / Spreadsheet Cleanup 127 157
ETL Scripting 128 161
JSON Extraction 123 137
Bulk Data Labeling 120 122
OCR / Document Parsing 129 148
Table Extraction from PDFs 129 148
Long-Document Summarization 134 167
Short-Form Summarization 117 122
Blog Post Writing 124 143

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

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