head-to-head

Qwen: Qwen3.6 35B A3B vs OpenAI: GPT-5.4 Nano

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

Qwen: Qwen3.6 35B A3B OpenAI: GPT-5.4 Nano
Vendorqwenopenai
Quality Score100100
Benchmark Score52.968.1
Input Price$0.10/M$0.20/M
Output Price$0.90/M$1.25/M
Context Window262,144400,000
Max Output235,929128,000
Tool Calling✓✓
Structured Output✓✓
Reasoning Mode✓✓
Vision✓✓
Audio--
Benchmark Scores
ai_index52.263.1
ai_index_agentic35.345.4
ai_index_coding69.192.5

The verdict

For a sample job of 1 million input tokens and 250,000 output tokens, Qwen3.6 35B A3B costs $0.33 and GPT-5.4 Nano costs $0.51, so Qwen3.6 35B A3B is about 1.6 times cheaper for the same work.

GPT-5.4 Nano reads up to 400,000 tokens at once, roughly 600 pages of text, against about 393 pages for Qwen3.6 35B A3B.

Only Qwen3.6 35B A3B offers video input.

On our blended benchmark score GPT-5.4 Nano leads 68.1 to 52.9.

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

Qwen3.6 35B A3B was released in April 2026 and GPT-5.4 Nano in March 2026.

Pick Qwen3.6 35B A3B if you need lower cost or video input; pick GPT-5.4 Nano if you need long documents, benchmark performance or 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: Qwen3.6 35B A3BOpenAI: GPT-5.4 Nano
SQL Generation 154 163
Code Review 147 158
Code Completion 130 133
Code Refactoring 144 157
Bug Fixing 156 168
Unit Test Generation 140 148
Code Documentation 133 140
Regex Writing 129 132
CI/CD Pipelines 132 139
Frontend Component Design 137 141
Data Analysis 151 159
CSV / Spreadsheet Cleanup 141 151
ETL Scripting 138 148
JSON Extraction 143 146
Bulk Data Labeling 133 134
OCR / Document Parsing 138 144
Table Extraction from PDFs 138 144
Long-Document Summarization 142 154
Short-Form Summarization 128 130
Blog Post Writing 130 135

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

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