Anthropic: Claude Opus 5.5 (batch) vs Xiaomi: MiMo-V2.6-Pro
Side-by-side comparison of specs, pricing, benchmark scores, and task rankings. Updated 2026-10-13.
| Anthropic: Claude Opus 5.5 (batch) | Xiaomi: MiMo-V2.6-Pro | |
|---|---|---|
| Vendor | anthropic | xiaomi |
| Quality Score | 100 | 100 |
| Benchmark Score | 100.0 | 79.0 |
| Input Price | $2.00/M | $0.43/M |
| Output Price | $10.00/M | $0.87/M |
| Context Window | 1,000,000 | 1,050,000 |
| Max Output | 128,000 | 131,072 |
| Tool Calling | ✓ | ✓ |
| Structured Output | ✓ | ✓ |
| Reasoning Mode | ✓ | ✓ |
| Vision | ✓ | ✓ |
| Audio | - | ✓ |
| Benchmark Scores | ||
| ai_index | 95.1 | 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 Claude Opus 5.5 (batch) costs $4.50, so MiMo-V2.6-Pro is about 6.9 times cheaper for the same work.
Both take in a similar amount of text: 1,000,000 and 1,050,000 tokens, about 1,500 and 1,575 pages.
Only MiMo-V2.6-Pro offers audio input and video input.
On our blended benchmark score Claude Opus 5.5 (batch) leads 100.0 to 79.0.
Across the 20 tasks where they differ, Claude Opus 5.5 (batch) scores higher on 13 (SQL Generation, Code Review, Code Refactoring and others), MiMo-V2.6-Pro on 7 (Code Completion, Code Documentation, Regex Writing and others).
Pick Claude Opus 5.5 (batch) if you need benchmark performance; pick MiMo-V2.6-Pro if you need lower cost, audio input or video input.
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 | Anthropic: Claude Opus 5.5 (batch) | Xiaomi: MiMo-V2.6-Pro |
|---|---|---|
| SQL Generation | 144 | 143 |
| Code Review | 150 | 146 |
| Code Completion | 119 | 133 |
| Code Refactoring | 151 | 148 |
| Bug Fixing | 154 | 150 |
| Unit Test Generation | 135 | 133 |
| Code Documentation | 138 | 138 |
| Regex Writing | 127 | 127 |
| CI/CD Pipelines | 131 | 129 |
| Frontend Component Design | 133 | 131 |
| Data Analysis | 138 | 135 |
| CSV / Spreadsheet Cleanup | 136 | 136 |
| ETL Scripting | 141 | 138 |
| JSON Extraction | 121 | 131 |
| Bulk Data Labeling | 118 | 129 |
| OCR / Document Parsing | 135 | 134 |
| Table Extraction from PDFs | 135 | 134 |
| Long-Document Summarization | 152 | 150 |
| Short-Form Summarization | 118 | 127 |
| Blog Post Writing | 132 | 131 |
Scores reflect capability match + benchmark data + pricing for each task. Methodology →