head-to-head
Qwen: Qwen3.6 35B A3B vs Xiaomi: MiMo-V2.5
Side-by-side comparison of specs, pricing, benchmark scores, and task rankings. Updated 2026-06-18.
| Qwen: Qwen3.6 35B A3B | Xiaomi: MiMo-V2.5 | |
|---|---|---|
| Vendor | qwen | xiaomi |
| Quality Score | 100 | 100 |
| Benchmark Score | 67.9 | - |
| Input Price | $0.15/M | $0.14/M |
| Output Price | $1.00/M | $0.28/M |
| Context Window | 262,144 | 1,048,576 |
| Max Output | 262,144 | 131,072 |
| Tool Calling | ✓ | ✓ |
| Structured Output | ✓ | ✓ |
| Reasoning Mode | ✓ | ✓ |
| Vision | ✓ | ✓ |
| Audio | - | ✓ |
| Benchmark Scores | ||
| ai_index | 54.4 | - |
| ai_index_agentic | 96.3 | - |
| ai_index_coding | 58.0 | - |
Who wins by task?
| Task | Qwen: Qwen3.6 35B A3B | Xiaomi: MiMo-V2.5 |
|---|---|---|
| SQL Generation | 161 | 134 |
| Code Review | 152 | 132 |
| Code Completion | 130 | 131 |
| Code Refactoring | 148 | 136 |
| Bug Fixing | 168 | 136 |
| Unit Test Generation | 143 | 124 |
| Code Documentation | 135 | 131 |
| Regex Writing | 133 | 119 |
| CI/CD Pipelines | 135 | 120 |
| Frontend Component Design | 140 | 122 |
| Data Analysis | 163 | 124 |
| CSV / Spreadsheet Cleanup | 142 | 134 |
| ETL Scripting | 142 | 128 |
| JSON Extraction | 143 | 131 |
| Bulk Data Labeling | 133 | 129 |
| OCR / Document Parsing | 138 | 131 |
| Table Extraction from PDFs | 138 | 131 |
| Long-Document Summarization | 146 | 138 |
| Short-Form Summarization | 130 | 123 |
| Blog Post Writing | 133 | 122 |
Scores reflect capability match + benchmark data + pricing for each task. Methodology →
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