head-to-head

Z.ai: GLM 5V Turbo vs Qwen: Qwen3.5-35B-A3B

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

Z.ai: GLM 5V Turbo Qwen: Qwen3.5-35B-A3B
Vendorz-aiqwen
Quality Score100100
Benchmark Score56.847.9
Input Price$1.20/M$0.14/M
Output Price$4.00/M$1.00/M
Context Window202,752262,144
Max Output131,07281,920
Tool Calling✓✓
Structured Output✓✓
Reasoning Mode✓✓
Vision✓✓
Audio--
Benchmark Scores
ai_index56.948.3

The verdict

For a sample job of 1 million input tokens and 250,000 output tokens, Qwen3.5-35B-A3B costs $0.39 and GLM 5V Turbo costs $2.20, so Qwen3.5-35B-A3B is about 5.6 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 47.9.

Across the 20 tasks where they differ, GLM 5V Turbo scores higher on 3 (Regex Writing, Frontend Component Design, Data Analysis), Qwen3.5-35B-A3B on 17 (SQL Generation, Code Review, Code Completion and others).

GLM 5V Turbo was released in April 2026 and Qwen3.5-35B-A3B in February 2026.

Pick GLM 5V Turbo if you need benchmark performance; pick Qwen3.5-35B-A3B 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: Qwen3.5-35B-A3B
SQL Generation 136 136
Code Review 134 135
Code Completion 116 130
Code Refactoring 133 135
Bug Fixing 138 139
Unit Test Generation 126 127
Code Documentation 128 130
Regex Writing 124 124
CI/CD Pipelines 122 123
Frontend Component Design 128 127
Data Analysis 132 131
CSV / Spreadsheet Cleanup 127 130
ETL Scripting 128 129
JSON Extraction 123 131
Bulk Data Labeling 120 129
OCR / Document Parsing 129 130
Table Extraction from PDFs 129 130
Long-Document Summarization 134 137
Short-Form Summarization 117 126
Blog Post Writing 124 124

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

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