Xiaomi: MiMo-V2.6-Pro vs inclusionAI: Ling 3.0 Flash VL
Side-by-side comparison of specs, pricing, benchmark scores, and task rankings. Updated 2026-10-13.
| Xiaomi: MiMo-V2.6-Pro | inclusionAI: Ling 3.0 Flash VL | |
|---|---|---|
| Vendor | xiaomi | inclusionai |
| Quality Score | 100 | 100 |
| Benchmark Score | 79.0 | 38.6 |
| Input Price | $0.43/M | $0.02/M |
| Output Price | $0.87/M | $0.06/M |
| Context Window | 1,050,000 | 262,144 |
| Max Output | 131,072 | 32,768 |
| Tool Calling | ✓ | ✓ |
| Structured Output | ✓ | ✓ |
| Reasoning Mode | ✓ | ✓ |
| Vision | ✓ | ✓ |
| Audio | ✓ | - |
| Benchmark Scores | ||
| ai_index | 76.4 | 40.5 |
The verdict
For a sample job of 1 million input tokens and 250,000 output tokens, Ling 3.0 Flash VL costs $0.036 and MiMo-V2.6-Pro costs $0.65, so Ling 3.0 Flash VL is about 17.9 times cheaper for the same work.
MiMo-V2.6-Pro reads up to 1,050,000 tokens at once, roughly 1,575 pages of text, against about 393 pages for Ling 3.0 Flash VL.
Only MiMo-V2.6-Pro offers audio input.
On our blended benchmark score MiMo-V2.6-Pro leads 79.0 to 38.6.
Across the 20 tasks where they differ, MiMo-V2.6-Pro scores higher on 18 (SQL Generation, Code Review, Code Completion and others), Ling 3.0 Flash VL on 2 (JSON Extraction, Bulk Data Labeling).
Pick MiMo-V2.6-Pro if you need long documents, audio input, benchmark performance or the stronger all-round task scores; pick Ling 3.0 Flash VL if you need lower cost.
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 | inclusionAI: Ling 3.0 Flash VL |
|---|---|---|
| SQL Generation | 143 | 136 |
| Code Review | 146 | 134 |
| Code Completion | 133 | 130 |
| Code Refactoring | 148 | 134 |
| Bug Fixing | 150 | 138 |
| Unit Test Generation | 133 | 126 |
| Code Documentation | 138 | 130 |
| Regex Writing | 127 | 124 |
| CI/CD Pipelines | 129 | 122 |
| Frontend Component Design | 131 | 126 |
| Data Analysis | 135 | 130 |
| CSV / Spreadsheet Cleanup | 136 | 130 |
| ETL Scripting | 138 | 128 |
| JSON Extraction | 131 | 132 |
| Bulk Data Labeling | 129 | 130 |
| OCR / Document Parsing | 134 | 130 |
| Table Extraction from PDFs | 134 | 130 |
| Long-Document Summarization | 150 | 136 |
| Short-Form Summarization | 127 | 126 |
| Blog Post Writing | 131 | 124 |
Scores reflect capability match + benchmark data + pricing for each task. Methodology →