head-to-head
Qwen: Qwen3.8 27B vs Ling-3.0-flash
Side-by-side comparison of specs, pricing, benchmark scores, and task rankings. Updated 2026-08-18.
| Qwen: Qwen3.8 27B | Ling-3.0-flash | |
|---|---|---|
| Vendor | qwen | inclusionai |
| Quality Score | 100 | 100 |
| Benchmark Score | 90.0 | 64.4 |
| Input Price | $0.45/M | $0.02/M |
| Output Price | $3.20/M | $0.06/M |
| Context Window | 262,144 | 262,144 |
| Max Output | 131,072 | 32,768 |
| Tool Calling | ✓ | ✓ |
| Structured Output | ✓ | ✓ |
| Reasoning Mode | ✓ | ✓ |
| Vision | ✓ | - |
| Audio | - | - |
| Benchmark Scores | ||
| ai_index | 85.8 | 62.4 |
| ai_index_agentic | 83.9 | 48.4 |
| ai_index_coding | 100.0 | 83.6 |
Who wins by task?
| Task | Qwen: Qwen3.8 27B | Ling-3.0-flash |
|---|---|---|
| SQL Generation | 169 | 159 |
| Code Review | 162 | 152 |
| Code Completion | 130 | 130 |
| Code Refactoring | 156 | 148 |
| Bug Fixing | 176 | 162 |
| Unit Test Generation | 152 | 144 |
| Code Documentation | 138 | 135 |
| Regex Writing | 136 | 132 |
| CI/CD Pipelines | 142 | 135 |
| Frontend Component Design | 147 | 110 |
| Data Analysis | 172 | 158 |
| CSV / Spreadsheet Cleanup | 149 | 145 |
| ETL Scripting | 149 | 142 |
| JSON Extraction | 148 | 146 |
| Bulk Data Labeling | 134 | 134 |
| OCR / Document Parsing | 144 | 95 |
| Table Extraction from PDFs | 144 | 95 |
| Long-Document Summarization | 152 | 146 |
| Short-Form Summarization | 132 | 130 |
| Blog Post Writing | 138 | 133 |
Scores reflect capability match + benchmark data + pricing for each task. Methodology →
Related comparisons
Qwen: Qwen3.8 27B vs Google: Gemini 3.7 Flash
Qwen: Qwen3.8 27B vs Google: Gemini 3.7 Flash (batch)
Qwen: Qwen3.8 27B vs ByteDance Seed: Seed 2.1 Turbo
Qwen: Qwen3.8 27B vs ByteDance Seed: Seed-2.0-Code
Qwen: Qwen3.8 27B vs SpaceXAI: Grok 4.6
Qwen: Qwen3.8 27B vs Sakana: Sakana Namazu
Qwen: Qwen3.8 27B vs Meta: Muse Spark 1.2
Qwen: Qwen3.8 27B vs Qwen: Qwen3.8 Max