Xiaomi: MiMo-V2.6-Pro vs Z.ai: GLM 5.3 FlashX
Side-by-side comparison of specs, pricing, benchmark scores, and task rankings. Updated 2026-10-04.
| Xiaomi: MiMo-V2.6-Pro | Z.ai: GLM 5.3 FlashX | |
|---|---|---|
| Vendor | xiaomi | z-ai |
| Quality Score | 100 | 100 |
| Benchmark Score | 79.0 | - |
| Input Price | $0.43/M | $0.37/M |
| Output Price | $0.87/M | $1.25/M |
| Context Window | 1,050,000 | 1,048,576 |
| Max Output | 131,072 | 131,072 |
| Tool Calling | ✓ | ✓ |
| Structured Output | ✓ | ✓ |
| Reasoning Mode | ✓ | ✓ |
| Vision | ✓ | ✓ |
| Audio | ✓ | - |
| Benchmark Scores | ||
| ai_index | 76.4 | - |
The verdict
For a sample job of 1 million input tokens and 250,000 output tokens, MiMo-V2.6-Pro costs $0.65 and GLM 5.3 FlashX costs $0.68, so MiMo-V2.6-Pro is slightly cheaper for the same work.
Both take in a similar amount of text: 1,050,000 and 1,048,576 tokens, about 1,575 and 1,573 pages.
Only MiMo-V2.6-Pro offers audio input.
Across the 19 tasks where they differ, MiMo-V2.6-Pro scores higher on 19 (SQL Generation, Code Review, Code Completion and others).
Pick MiMo-V2.6-Pro if you need lower cost, audio input 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?
| Task | Xiaomi: MiMo-V2.6-Pro | Z.ai: GLM 5.3 FlashX |
|---|---|---|
| SQL Generation | 143 | 133 |
| Code Review | 146 | 132 |
| Code Completion | 133 | 131 |
| Code Refactoring | 148 | 136 |
| Bug Fixing | 150 | 136 |
| Unit Test Generation | 133 | 124 |
| Code Documentation | 138 | 131 |
| Regex Writing | 127 | 119 |
| CI/CD Pipelines | 129 | 120 |
| Frontend Component Design | 131 | 122 |
| Data Analysis | 135 | 124 |
| CSV / Spreadsheet Cleanup | 136 | 133 |
| ETL Scripting | 138 | 128 |
| Bulk Data Labeling | 129 | 129 |
| OCR / Document Parsing | 134 | 131 |
| Table Extraction from PDFs | 134 | 131 |
| Long-Document Summarization | 150 | 137 |
| Short-Form Summarization | 127 | 123 |
| Blog Post Writing | 131 | 121 |
Scores reflect capability match + benchmark data + pricing for each task. Methodology →