head-to-head

OpenAI: GPT-5.4 Mini vs Qwen: Qwen3.5-9B

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

OpenAI: GPT-5.4 Mini Qwen: Qwen3.5-9B
Vendoropenaiqwen
Quality Score100100
Benchmark Score70.831.3
Input Price$0.75/M$0.17/M
Output Price$4.50/M$0.25/M
Context Window400,000262,144
Max Output128,000235,929
Tool Calling✓✓
Structured Output✓✓
Reasoning Mode✓✓
Vision✓✓
Audio--
Benchmark Scores
ai_index66.035.4
ai_index_agentic49.812.2
ai_index_coding92.547.3

The verdict

For a sample job of 1 million input tokens and 250,000 output tokens, Qwen3.5-9B costs $0.23 and GPT-5.4 Mini costs $1.88, so Qwen3.5-9B is about 8.1 times cheaper for the same work.

GPT-5.4 Mini reads up to 400,000 tokens at once, roughly 600 pages of text, against about 393 pages for Qwen3.5-9B.

Only Qwen3.5-9B offers video input.

On our blended benchmark score GPT-5.4 Mini leads 70.8 to 31.3.

Across the 20 tasks where they differ, GPT-5.4 Mini scores higher on 20 (SQL Generation, Code Review, Code Completion and others).

Pick GPT-5.4 Mini if you need long documents, benchmark performance or the stronger all-round task scores; pick Qwen3.5-9B if you need lower cost or video input.

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?

TaskOpenAI: GPT-5.4 MiniQwen: Qwen3.5-9B
SQL Generation 164 145
Code Review 159 139
Code Completion 132 129
Code Refactoring 158 138
Bug Fixing 170 145
Unit Test Generation 148 133
Code Documentation 140 130
Regex Writing 132 126
CI/CD Pipelines 139 126
Frontend Component Design 141 131
Data Analysis 160 140
CSV / Spreadsheet Cleanup 151 137
ETL Scripting 149 132
JSON Extraction 146 139
Bulk Data Labeling 133 132
OCR / Document Parsing 144 135
Table Extraction from PDFs 144 135
Long-Document Summarization 154 138
Short-Form Summarization 129 127
Blog Post Writing 136 126

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

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