head-to-head

Z.ai: GLM 5V Turbo vs Qwen: Qwen3.5-9B

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

Z.ai: GLM 5V Turbo Qwen: Qwen3.5-9B
Vendorz-aiqwen
Quality Score100100
Benchmark Score56.831.3
Input Price$1.20/M$0.17/M
Output Price$4.00/M$0.25/M
Context Window202,752262,144
Max Output131,072235,929
Tool Calling✓✓
Structured Output✓✓
Reasoning Mode✓✓
Vision✓✓
Audio--
Benchmark Scores
ai_index56.935.4
ai_index_agentic-12.2
ai_index_coding-47.3

The verdict

For a sample job of 1 million input tokens and 250,000 output tokens, Qwen3.5-9B costs $0.23 and GLM 5V Turbo costs $2.20, so Qwen3.5-9B is about 9.5 times cheaper for the same work.

Both take in a similar amount of text: 202,752 and 262,144 tokens, about 304 and 393 pages.

On our blended benchmark score GLM 5V Turbo leads 56.8 to 31.3.

Across the 20 tasks where they differ, Qwen3.5-9B on 20 (SQL Generation, Code Review, Code Completion and others).

GLM 5V Turbo was released in April 2026 and Qwen3.5-9B in March 2026.

Pick GLM 5V Turbo if you need benchmark performance; pick Qwen3.5-9B if you need lower cost 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 TurboQwen: Qwen3.5-9B
SQL Generation 136 145
Code Review 134 139
Code Completion 116 129
Code Refactoring 133 138
Bug Fixing 138 145
Unit Test Generation 126 133
Code Documentation 128 130
Regex Writing 124 126
CI/CD Pipelines 122 126
Frontend Component Design 128 131
Data Analysis 132 140
CSV / Spreadsheet Cleanup 127 137
ETL Scripting 128 132
JSON Extraction 123 139
Bulk Data Labeling 120 132
OCR / Document Parsing 129 135
Table Extraction from PDFs 129 135
Long-Document Summarization 134 138
Short-Form Summarization 117 127
Blog Post Writing 124 126

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

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