head-to-head

OpenAI: GPT-5.4 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 Qwen: Qwen3.5-Flash
Vendoropenaiqwen
Quality Score100100
Benchmark Score89.6-
Input Price$2.50/M$0.07/M
Output Price$15.00/M$0.26/M
Context Window1,050,0001,000,000
Max Output128,00065,536
Tool Calling✓✓
Structured Output✓✓
Reasoning Mode✓✓
Vision✓✓
Audio--
Benchmark Scores
ai_index84.8-
ai_index_agentic67.8-
ai_index_coding100.0-
eqbench75.6-

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 costs $6.25, so Qwen3.5-Flash is about 48.1 times cheaper for the same work.

Both take in a similar amount of text: 1,050,000 and 1,000,000 tokens, about 1,575 and 1,500 pages.

Only Qwen3.5-Flash offers video input.

Across the 20 tasks where they differ, GPT-5.4 scores higher on 17 (SQL Generation, Code Review, Code Refactoring and others), Qwen3.5-Flash on 3 (Code Completion, Bulk Data Labeling, Short-Form Summarization).

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

Pick GPT-5.4 if you need the stronger all-round task scores; pick Qwen3.5-Flash 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-5.4Qwen: Qwen3.5-Flash
SQL Generation 174 134
Code Review 175 132
Code Completion 120 131
Code Refactoring 173 136
Bug Fixing 187 136
Unit Test Generation 158 124
Code Documentation 146 131
Regex Writing 136 119
CI/CD Pipelines 149 120
Frontend Component Design 148 122
Data Analysis 173 124
CSV / Spreadsheet Cleanup 157 134
ETL Scripting 161 128
JSON Extraction 137 131
Bulk Data Labeling 122 129
OCR / Document Parsing 148 131
Table Extraction from PDFs 148 131
Long-Document Summarization 167 138
Short-Form Summarization 122 123
Blog Post Writing 143 122

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

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