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 2026-11-07.
| Xiaomi: MiMo-V2.6-Pro | Z.ai: GLM 5.3 FlashX | |
|---|---|---|
| Vendor | xiaomi | z-ai |
| Quality Score | 100 | 100 |
| 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 | ✓ | - |
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 5 tasks where they differ, MiMo-V2.6-Pro scores higher on 5 (SQL Generation, CSV / Spreadsheet Cleanup, Bulk Data Labeling 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 | 133 | 133 |
| CSV / Spreadsheet Cleanup | 133 | 133 |
| Bulk Data Labeling | 129 | 129 |
| Long-Document Summarization | 137 | 137 |
| Blog Post Writing | 121 | 121 |
Scores reflect capability match + benchmark data + pricing for each task. Methodology →