head-to-head

Qwen: Qwen3.8 27B vs Google: Gemini 3.7 Flash

Side-by-side comparison of specs, pricing, benchmark scores, and task rankings. Updated 2026-09-30.

Qwen: Qwen3.8 27B Google: Gemini 3.7 Flash
Vendorqwengoogle
Quality Score100100
Benchmark Score55.665.5
Input Price$0.42/M$0.75/M
Output Price$3.00/M$3.75/M
Context Window1,000,0001,048,576
Max Output131,07265,536
Tool Calling✓✓
Structured Output✓✓
Reasoning Mode✓✓
Vision✓✓
Audio-✓
Benchmark Scores
ai_index55.664.4

The verdict

For a sample job of 1 million input tokens and 250,000 output tokens, Qwen3.8 27B costs $1.17 and Gemini 3.7 Flash costs $1.69, so Qwen3.8 27B is about 1.4 times cheaper for the same work.

Both take in a similar amount of text: 1,000,000 and 1,048,576 tokens, about 1,500 and 1,573 pages.

Only Gemini 3.7 Flash offers audio input.

On our blended benchmark score Gemini 3.7 Flash leads 65.5 to 55.6.

Across the 19 tasks where they differ, Qwen3.8 27B scores higher on 2 (JSON Extraction, Bulk Data Labeling), Gemini 3.7 Flash on 17 (SQL Generation, Code Review, Code Refactoring and others).

Pick Qwen3.8 27B if you need lower cost; pick Gemini 3.7 Flash if you need audio input, benchmark performance 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?

TaskQwen: Qwen3.8 27BGoogle: Gemini 3.7 Flash
SQL Generation 140 141
Code Review 142 144
Code Refactoring 144 146
Bug Fixing 146 148
Unit Test Generation 130 131
Code Documentation 136 136
Regex Writing 124 125
CI/CD Pipelines 126 127
Frontend Component Design 128 129
Data Analysis 132 133
CSV / Spreadsheet Cleanup 135 136
ETL Scripting 135 137
JSON Extraction 131 131
Bulk Data Labeling 129 128
OCR / Document Parsing 133 134
Table Extraction from PDFs 133 134
Long-Document Summarization 146 147
Short-Form Summarization 126 126
Blog Post Writing 128 129

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

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