head-to-head

Qwen: Qwen3.5-Flash vs OpenAI: GPT-5.3-Codex

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

Qwen: Qwen3.5-Flash OpenAI: GPT-5.3-Codex
Vendorqwenopenai
Quality Score100100
Benchmark Score-73.4
Input Price$0.07/M$1.75/M
Output Price$0.26/M$14.00/M
Context Window1,000,000400,000
Max Output65,536128,000
Tool Calling✓✓
Structured Output✓✓
Reasoning Mode✓✓
Vision✓✓
Audio--
Benchmark Scores
ai_index-73.0

The verdict

For a sample job of 1 million input tokens and 250,000 output tokens, Qwen3.5-Flash costs $0.13 and GPT-5.3-Codex costs $5.25, so Qwen3.5-Flash is about 40.4 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-5.3-Codex.

Only Qwen3.5-Flash offers video input.

Across the 20 tasks where they differ, Qwen3.5-Flash scores higher on 4 (Code Completion, JSON Extraction, Bulk Data Labeling and others), GPT-5.3-Codex on 16 (SQL Generation, Code Review, Code Refactoring and others).

Pick Qwen3.5-Flash if you need lower cost, long documents or video input; pick GPT-5.3-Codex if you need 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: Qwen3.5-FlashOpenAI: GPT-5.3-Codex
SQL Generation 134 141
Code Review 132 145
Code Completion 131 118
Code Refactoring 136 147
Bug Fixing 136 149
Unit Test Generation 124 132
Code Documentation 131 135
Regex Writing 119 124
CI/CD Pipelines 120 128
Frontend Component Design 122 130
Data Analysis 124 134
CSV / Spreadsheet Cleanup 134 135
ETL Scripting 128 138
JSON Extraction 131 120
Bulk Data Labeling 129 117
OCR / Document Parsing 131 134
Table Extraction from PDFs 131 134
Long-Document Summarization 138 148
Short-Form Summarization 123 116
Blog Post Writing 122 129

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

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