head-to-head

Qwen: Qwen3.6 27B vs Qwen: Qwen3.5 397B A17B

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

Qwen: Qwen3.6 27B Qwen: Qwen3.5 397B A17B
Vendorqwenqwen
Quality Score100100
Benchmark Score65.860.1
Input Price$0.32/M$0.50/M
Output Price$3.20/M$3.60/M
Context Window262,144262,144
Max Output81,920235,929
Tool Calling✓✓
Structured Output✓✓
Reasoning Mode✓✓
Vision✓✓
Audio--
Benchmark Scores
ai_index61.155.6
ai_index_agentic44.632.7
ai_index_coding88.679.5
eqbench-58.0

The verdict

For a sample job of 1 million input tokens and 250,000 output tokens, Qwen3.6 27B costs $1.12 and Qwen3.5 397B A17B costs $1.40, so Qwen3.6 27B is about 1.2 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 Qwen3.6 27B leads 65.8 to 60.1.

Across the 19 tasks where they differ, Qwen3.6 27B scores higher on 3 (Data Analysis, JSON Extraction, Bulk Data Labeling), Qwen3.5 397B A17B on 16 (SQL Generation, Code Review, Code Completion and others).

Qwen3.6 27B was released in April 2026 and Qwen3.5 397B A17B in February 2026.

Pick Qwen3.6 27B if you need lower cost or benchmark performance; pick Qwen3.5 397B A17B if you need 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?

TaskQwen: Qwen3.6 27BQwen: Qwen3.5 397B A17B
SQL Generation 159 159
Code Review 152 156
Code Completion 129 131
Code Refactoring 148 153
Bug Fixing 162 164
Unit Test Generation 144 145
Code Documentation 134 137
Regex Writing 131 132
CI/CD Pipelines 135 137
Data Analysis 158 156
CSV / Spreadsheet Cleanup 145 146
ETL Scripting 142 145
JSON Extraction 145 144
Bulk Data Labeling 133 133
OCR / Document Parsing 141 141
Table Extraction from PDFs 141 141
Long-Document Summarization 145 150
Short-Form Summarization 129 129
Blog Post Writing 132 134

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

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