head-to-head

Z.ai: GLM 5.3 Flash (batch) vs Qwen: Qwen3.8 27B

Side-by-side comparison of specs, pricing, benchmark scores, and task rankings. Updated 2026-10-04.

Z.ai: GLM 5.3 Flash (batch) Qwen: Qwen3.8 27B
Vendorz-aiqwen
Quality Score100100
Benchmark Score70.655.6
Input Price$0.06/M$0.42/M
Output Price$0.20/M$3.00/M
Context Window1,048,5761,000,000
Max Output131,072131,072
Tool Calling✓✓
Structured Output✓✓
Reasoning Mode✓✓
Vision✓✓
Audio--
Benchmark Scores
ai_index69.055.6

The verdict

For a sample job of 1 million input tokens and 250,000 output tokens, GLM 5.3 Flash (batch) costs $0.11 and Qwen3.8 27B costs $1.17, so GLM 5.3 Flash (batch) is about 10.6 times cheaper for the same work.

Both take in a similar amount of text: 1,048,576 and 1,000,000 tokens, about 1,573 and 1,500 pages.

On our blended benchmark score GLM 5.3 Flash (batch) leads 70.6 to 55.6.

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

Pick GLM 5.3 Flash (batch) if you need lower cost, 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 5.3 Flash (batch)Qwen: Qwen3.8 27B
SQL Generation 142 140
Code Review 145 142
Code Completion 133 132
Code Refactoring 147 144
Bug Fixing 149 146
Unit Test Generation 132 130
Code Documentation 138 136
Regex Writing 126 124
CI/CD Pipelines 128 126
Frontend Component Design 130 128
Data Analysis 134 132
CSV / Spreadsheet Cleanup 136 135
ETL Scripting 137 135
JSON Extraction 131 131
Bulk Data Labeling 129 129
OCR / Document Parsing 134 133
Table Extraction from PDFs 134 133
Long-Document Summarization 149 146
Short-Form Summarization 127 126
Blog Post Writing 130 128

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

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