head-to-head

OpenAI: GPT-5.4 Nano vs Qwen: Qwen3.5-27B

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

OpenAI: GPT-5.4 Nano Qwen: Qwen3.5-27B
Vendoropenaiqwen
Quality Score100100
Benchmark Score68.155.6
Input Price$0.20/M$0.26/M
Output Price$1.25/M$2.60/M
Context Window400,000262,144
Max Output128,00081,920
Tool Calling✓✓
Structured Output✓✓
Reasoning Mode✓✓
Vision✓✓
Audio--
Benchmark Scores
ai_index63.155.7
ai_index_agentic45.4-
ai_index_coding92.5-

The verdict

For a sample job of 1 million input tokens and 250,000 output tokens, GPT-5.4 Nano costs $0.51 and Qwen3.5-27B costs $0.91, so GPT-5.4 Nano is about 1.8 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 Qwen3.5-27B.

Only Qwen3.5-27B offers video input.

On our blended benchmark score GPT-5.4 Nano leads 68.1 to 55.6.

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 Qwen3.5-27B in February 2026.

Pick GPT-5.4 Nano if you need lower cost, long documents, benchmark performance or the stronger all-round task scores; pick Qwen3.5-27B if you need 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: Qwen3.5-27B
SQL Generation 163 137
Code Review 158 137
Code Completion 133 129
Code Refactoring 157 136
Bug Fixing 168 141
Unit Test Generation 148 127
Code Documentation 140 130
Regex Writing 132 125
CI/CD Pipelines 139 123
Frontend Component Design 141 128
Data Analysis 159 132
CSV / Spreadsheet Cleanup 151 130
ETL Scripting 148 130
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 130 126
Blog Post Writing 135 125

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

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