head-to-head
OpenAI: GPT-5.6 Luna (batch) vs Qwen: Qwen3.7 Plus
Side-by-side comparison of specs, pricing, benchmark scores, and task rankings. Updated 2026-09-23.
| OpenAI: GPT-5.6 Luna (batch) | Qwen: Qwen3.7 Plus | |
|---|---|---|
| Vendor | openai | qwen |
| Quality Score | 100 | 100 |
| Benchmark Score | 62.3 | 39.7 |
| Input Price | $0.10/M | $0.32/M |
| Output Price | $0.60/M | $1.28/M |
| Context Window | 1,050,000 | 1,000,000 |
| Max Output | 128,000 | 131,072 |
| Tool Calling | ✓ | ✓ |
| Structured Output | ✓ | ✓ |
| Reasoning Mode | ✓ | ✓ |
| Vision | ✓ | ✓ |
| Audio | - | - |
| Benchmark Scores | ||
| ai_index | 61.6 | 41.5 |
Who wins by task?
| Task | OpenAI: GPT-5.6 Luna (batch) | Qwen: Qwen3.7 Plus |
|---|---|---|
| SQL Generation | 141 | 138 |
| Code Review | 143 | 139 |
| Code Completion | 133 | 132 |
| Code Refactoring | 145 | 142 |
| Bug Fixing | 147 | 143 |
| Unit Test Generation | 131 | 129 |
| Code Documentation | 137 | 135 |
| Regex Writing | 126 | 123 |
| CI/CD Pipelines | 127 | 125 |
| Frontend Component Design | 129 | 127 |
| Data Analysis | 133 | 130 |
| CSV / Spreadsheet Cleanup | 136 | 135 |
| ETL Scripting | 136 | 133 |
| JSON Extraction | 131 | 131 |
| Bulk Data Labeling | 129 | 129 |
| OCR / Document Parsing | 134 | 133 |
| Table Extraction from PDFs | 134 | 133 |
| Long-Document Summarization | 147 | 144 |
| Short-Form Summarization | 126 | 125 |
| Blog Post Writing | 129 | 126 |
Scores reflect capability match + benchmark data + pricing for each task. Methodology →
Related comparisons
Anthropic: Claude Opus 5 (batch) vs OpenAI: GPT-5.6 Luna (batch)
Anthropic: Claude Opus 5 (batch) vs Qwen: Qwen3.7 Plus
Anthropic: Claude Sonnet 5 (batch) vs Qwen: Qwen3.7 Plus
Anthropic: Claude Sonnet 5 vs Qwen: Qwen3.7 Plus
ByteDance Seed: Seed-2.0-Code vs OpenAI: GPT-5.6 Luna (batch)
ByteDance Seed: Seed-2.0-Code vs Qwen: Qwen3.7 Plus
ByteDance Seed: Seed 2.1 Turbo vs OpenAI: GPT-5.6 Luna (batch)
ByteDance Seed: Seed 2.1 Turbo vs Qwen: Qwen3.7 Plus