head-to-head

Qwen: Qwen3.8 27B vs OpenAI: GPT-5.6 Luna

Side-by-side comparison of specs, pricing, benchmark scores, and task rankings. Updated 2026-09-30.

Qwen: Qwen3.8 27B OpenAI: GPT-5.6 Luna
Vendorqwenopenai
Quality Score100100
Benchmark Score55.662.3
Input Price$0.42/M$0.20/M
Output Price$3.00/M$1.20/M
Context Window1,000,0001,050,000
Max Output131,072128,000
Tool Calling✓✓
Structured Output✓✓
Reasoning Mode✓✓
Vision✓✓
Audio--
Benchmark Scores
ai_index55.661.6

The verdict

For a sample job of 1 million input tokens and 250,000 output tokens, GPT-5.6 Luna costs $0.50 and Qwen3.8 27B costs $1.17, so GPT-5.6 Luna is about 2.3 times cheaper for the same work.

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

Only Qwen3.8 27B offers video input.

On our blended benchmark score GPT-5.6 Luna leads 62.3 to 55.6.

Across the 20 tasks where they differ, GPT-5.6 Luna on 20 (SQL Generation, Code Review, Code Completion and others).

Qwen3.8 27B was released in August 2026 and GPT-5.6 Luna in July 2026.

Pick Qwen3.8 27B if you need video input; pick GPT-5.6 Luna if you need lower cost, 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: Qwen3.8 27BOpenAI: GPT-5.6 Luna
SQL Generation 140 141
Code Review 142 143
Code Completion 132 133
Code Refactoring 144 145
Bug Fixing 146 147
Unit Test Generation 130 131
Code Documentation 136 137
Regex Writing 124 125
CI/CD Pipelines 126 127
Frontend Component Design 128 129
Data Analysis 132 133
CSV / Spreadsheet Cleanup 135 136
ETL Scripting 135 136
JSON Extraction 131 131
Bulk Data Labeling 129 129
OCR / Document Parsing 133 134
Table Extraction from PDFs 133 134
Long-Document Summarization 146 147
Short-Form Summarization 126 126
Blog Post Writing 128 129

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

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