head-to-head

Z.ai: GLM 5.3 Flash vs Google: Gemini 3.7 Flash

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

Z.ai: GLM 5.3 Flash Google: Gemini 3.7 Flash
Vendorz-aigoogle
Quality Score100100
Benchmark Score70.665.5
Input Price$0.15/M$0.75/M
Output Price$0.50/M$3.75/M
Context Window1,048,5761,048,576
Max Output943,71765,536
Tool Calling✓✓
Structured Output✓✓
Reasoning Mode✓✓
Vision✓✓
Audio-✓
Benchmark Scores
ai_index69.064.4

The verdict

For a sample job of 1 million input tokens and 250,000 output tokens, GLM 5.3 Flash costs $0.28 and Gemini 3.7 Flash costs $1.69, so GLM 5.3 Flash is about 6.1 times cheaper for the same work.

Both read up to 1,048,576 tokens at once, roughly 1,573 pages of text.

Only Gemini 3.7 Flash offers audio input.

On our blended benchmark score GLM 5.3 Flash leads 70.6 to 65.5.

Across the 20 tasks where they differ, GLM 5.3 Flash scores higher on 20 (SQL Generation, Code Review, Code Completion and others).

Pick GLM 5.3 Flash if you need lower cost, benchmark performance or the stronger all-round task scores; pick Gemini 3.7 Flash if you need audio 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?

TaskZ.ai: GLM 5.3 FlashGoogle: Gemini 3.7 Flash
SQL Generation 142 141
Code Review 145 144
Code Completion 133 132
Code Refactoring 147 146
Bug Fixing 149 148
Unit Test Generation 132 131
Code Documentation 138 136
Regex Writing 126 125
CI/CD Pipelines 128 127
Frontend Component Design 130 129
Data Analysis 134 133
CSV / Spreadsheet Cleanup 136 136
ETL Scripting 137 137
JSON Extraction 131 131
Bulk Data Labeling 129 128
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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