head-to-head

OpenAI: GPT-5.4 Nano vs Qwen: Qwen3.5-Flash

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

OpenAI: GPT-5.4 Nano Qwen: Qwen3.5-Flash
Vendoropenaiqwen
Quality Score100100
Benchmark Score68.1-
Input Price$0.20/M$0.07/M
Output Price$1.25/M$0.26/M
Context Window400,0001,000,000
Max Output128,00065,536
Tool Calling✓✓
Structured Output✓✓
Reasoning Mode✓✓
Vision✓✓
Audio--
Benchmark Scores
ai_index63.1-
ai_index_agentic45.4-
ai_index_coding92.5-

The verdict

For a sample job of 1 million input tokens and 250,000 output tokens, Qwen3.5-Flash costs $0.13 and GPT-5.4 Nano costs $0.51, so Qwen3.5-Flash is about 3.9 times cheaper for the same work.

Qwen3.5-Flash reads up to 1,000,000 tokens at once, roughly 1,500 pages of text, against about 600 pages for GPT-5.4 Nano.

Only Qwen3.5-Flash offers video input.

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

GPT-5.4 Nano was released in March 2026 and Qwen3.5-Flash in February 2026.

Pick GPT-5.4 Nano if you need the stronger all-round task scores; pick Qwen3.5-Flash if you need lower cost, long documents 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 NanoQwen: Qwen3.5-Flash
SQL Generation 163 134
Code Review 158 132
Code Completion 133 131
Code Refactoring 157 136
Bug Fixing 168 136
Unit Test Generation 148 124
Code Documentation 140 131
Regex Writing 132 119
CI/CD Pipelines 139 120
Frontend Component Design 141 122
Data Analysis 159 124
CSV / Spreadsheet Cleanup 151 134
ETL Scripting 148 128
JSON Extraction 146 131
Bulk Data Labeling 134 129
OCR / Document Parsing 144 131
Table Extraction from PDFs 144 131
Long-Document Summarization 154 138
Short-Form Summarization 130 123
Blog Post Writing 135 122

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

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