head-to-head

Qwen: Qwen3.5-9B vs Qwen: Qwen3.5-27B

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

Qwen: Qwen3.5-9B Qwen: Qwen3.5-27B
Vendorqwenqwen
Quality Score100100
Benchmark Score31.355.6
Input Price$0.17/M$0.26/M
Output Price$0.25/M$2.60/M
Context Window262,144262,144
Max Output235,92981,920
Tool Calling✓✓
Structured Output✓✓
Reasoning Mode✓✓
Vision✓✓
Audio--
Benchmark Scores
ai_index35.455.7
ai_index_agentic12.2-
ai_index_coding47.3-

The verdict

For a sample job of 1 million input tokens and 250,000 output tokens, Qwen3.5-9B costs $0.23 and Qwen3.5-27B costs $0.91, so Qwen3.5-9B is about 3.9 times cheaper for the same work.

Both read up to 262,144 tokens at once, roughly 393 pages of text.

On our blended benchmark score Qwen3.5-27B leads 55.6 to 31.3.

Across the 19 tasks where they differ, Qwen3.5-9B scores higher on 18 (SQL Generation, Code Review, Code Completion and others), Qwen3.5-27B on 1 (Long-Document Summarization).

Qwen3.5-9B was released in March 2026 and Qwen3.5-27B in February 2026.

Pick Qwen3.5-9B if you need lower cost or the stronger all-round task scores; pick Qwen3.5-27B if you need benchmark performance.

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?

TaskQwen: Qwen3.5-9BQwen: Qwen3.5-27B
SQL Generation 145 137
Code Review 139 137
Code Completion 129 129
Code Refactoring 138 136
Bug Fixing 145 141
Unit Test Generation 133 127
Regex Writing 126 125
CI/CD Pipelines 126 123
Frontend Component Design 131 128
Data Analysis 140 132
CSV / Spreadsheet Cleanup 137 130
ETL Scripting 132 130
JSON Extraction 139 131
Bulk Data Labeling 132 129
OCR / Document Parsing 135 131
Table Extraction from PDFs 135 131
Long-Document Summarization 138 138
Short-Form Summarization 127 126
Blog Post Writing 126 125

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

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