head-to-head

Google: Gemini 4 Argon (batch) vs Z.ai: GLM 5.3 FlashX

Side-by-side comparison of specs, pricing, benchmark scores, and task rankings. Updated 2026-10-19.

Google: Gemini 4 Argon (batch) Z.ai: GLM 5.3 FlashX
Vendorgooglez-ai
Quality Score100100
Benchmark Score90.2-
Input Price$1.00/M$0.37/M
Output Price$5.00/M$1.25/M
Context Window1,048,5761,048,576
Max Output943,718131,072
Tool Calling✓✓
Structured Output✓✓
Reasoning Mode✓✓
Vision✓✓
Audio✓-
Benchmark Scores
ai_index86.7-

The verdict

For a sample job of 1 million input tokens and 250,000 output tokens, GLM 5.3 FlashX costs $0.68 and Gemini 4 Argon (batch) costs $2.25, so GLM 5.3 FlashX is about 3.3 times cheaper for the same work.

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

Only Gemini 4 Argon (batch) offers audio input.

Across the 20 tasks where they differ, Gemini 4 Argon (batch) scores higher on 16 (SQL Generation, Code Review, Code Refactoring and others), GLM 5.3 FlashX on 4 (Code Completion, JSON Extraction, Bulk Data Labeling and others).

Gemini 4 Argon (batch) was released in October 2026 and GLM 5.3 FlashX in September 2026.

Pick Gemini 4 Argon (batch) if you need audio input or the stronger all-round task scores; pick GLM 5.3 FlashX 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?

TaskGoogle: Gemini 4 Argon (batch)Z.ai: GLM 5.3 FlashX
SQL Generation 143 133
Code Review 148 132
Code Completion 120 131
Code Refactoring 149 136
Bug Fixing 152 136
Unit Test Generation 134 124
Code Documentation 138 131
Regex Writing 127 119
CI/CD Pipelines 130 120
Frontend Component Design 132 122
Data Analysis 137 124
CSV / Spreadsheet Cleanup 136 133
ETL Scripting 140 128
JSON Extraction 122 131
Bulk Data Labeling 120 129
OCR / Document Parsing 135 131
Table Extraction from PDFs 135 131
Long-Document Summarization 151 137
Short-Form Summarization 119 123
Blog Post Writing 131 121

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

Related comparisons

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