head-to-head

Qwen: Qwen3.6 Plus vs OpenAI: GPT-5.3-Codex

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

Qwen: Qwen3.6 Plus OpenAI: GPT-5.3-Codex
Vendorqwenopenai
Quality Score100100
Benchmark Score68.373.4
Input Price$0.33/M$1.75/M
Output Price$1.95/M$14.00/M
Context Window1,000,000400,000
Max Output65,536128,000
Tool Calling✓✓
Structured Output✓✓
Reasoning Mode✓✓
Vision✓✓
Audio--
Benchmark Scores
ai_index65.373.0
ai_index_agentic45.5-
ai_index_coding90.0-

The verdict

For a sample job of 1 million input tokens and 250,000 output tokens, Qwen3.6 Plus costs $0.81 and GPT-5.3-Codex costs $5.25, so Qwen3.6 Plus is about 6.5 times cheaper for the same work.

Qwen3.6 Plus 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 Qwen3.6 Plus offers video input.

On our blended benchmark score GPT-5.3-Codex leads 73.4 to 68.3.

Across the 20 tasks where they differ, Qwen3.6 Plus scores higher on 20 (SQL Generation, Code Review, Code Completion and others).

Qwen3.6 Plus was released in April 2026 and GPT-5.3-Codex in February 2026.

Pick Qwen3.6 Plus if you need lower cost, long documents, video input or the stronger all-round task scores; pick GPT-5.3-Codex if you need benchmark performance.

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: Qwen3.6 PlusOpenAI: GPT-5.3-Codex
SQL Generation 163 141
Code Review 158 145
Code Completion 132 118
Code Refactoring 157 147
Bug Fixing 168 149
Unit Test Generation 148 132
Code Documentation 140 135
Regex Writing 132 124
CI/CD Pipelines 139 128
Frontend Component Design 141 130
Data Analysis 159 134
CSV / Spreadsheet Cleanup 151 135
ETL Scripting 148 138
JSON Extraction 146 120
Bulk Data Labeling 134 117
OCR / Document Parsing 144 134
Table Extraction from PDFs 144 134
Long-Document Summarization 154 148
Short-Form Summarization 130 116
Blog Post Writing 135 129

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

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