head-to-head

Google: Gemma 4 31B vs Qwen: Qwen3.5-9B

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

Google: Gemma 4 31B Qwen: Qwen3.5-9B
Vendorgoogleqwen
Quality Score100100
Benchmark Score53.731.3
Input Price$0.20/M$0.17/M
Output Price$0.40/M$0.25/M
Context Window262,144262,144
Max Output16,384235,929
Tool Calling✓✓
Structured Output✓✓
Reasoning Mode✓✓
Vision✓✓
Audio--
Benchmark Scores
ai_index48.435.4
ai_index_agentic23.812.2
ai_index_coding71.747.3
eqbench57.5-

The verdict

For a sample job of 1 million input tokens and 250,000 output tokens, Qwen3.5-9B costs $0.23 and Gemma 4 31B costs $0.30, so Qwen3.5-9B is about 1.3 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 Gemma 4 31B leads 53.7 to 31.3.

Across the 20 tasks where they differ, Gemma 4 31B scores higher on 20 (SQL Generation, Code Review, Code Completion and others).

Gemma 4 31B was released in April 2026 and Qwen3.5-9B in March 2026.

Pick Gemma 4 31B if you need benchmark performance or the stronger all-round task scores; pick Qwen3.5-9B if you need lower cost.

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?

TaskGoogle: Gemma 4 31BQwen: Qwen3.5-9B
SQL Generation 156 145
Code Review 152 139
Code Completion 131 129
Code Refactoring 151 138
Bug Fixing 160 145
Unit Test Generation 143 133
Code Documentation 137 130
Regex Writing 131 126
CI/CD Pipelines 135 126
Frontend Component Design 138 131
Data Analysis 152 140
CSV / Spreadsheet Cleanup 145 137
ETL Scripting 143 132
JSON Extraction 143 139
Bulk Data Labeling 133 132
OCR / Document Parsing 140 135
Table Extraction from PDFs 140 135
Long-Document Summarization 149 138
Short-Form Summarization 129 127
Blog Post Writing 133 126

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

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