OpenAI: GPT-6 Luna (batch) vs Xiaomi: MiMo-V2.6-Pro
Side-by-side comparison of specs, pricing, benchmark scores, and task rankings. Updated 2026-09-27.
| OpenAI: GPT-6 Luna (batch) | Xiaomi: MiMo-V2.6-Pro | |
|---|---|---|
| Vendor | openai | xiaomi |
| Quality Score | 100 | 100 |
| Benchmark Score | 62.2 | 79.0 |
| Input Price | $0.05/M | $0.43/M |
| Output Price | $0.25/M | $0.87/M |
| Context Window | 1,050,000 | 1,050,000 |
| Max Output | 128,000 | 131,072 |
| Tool Calling | ✓ | ✓ |
| Structured Output | ✓ | ✓ |
| Reasoning Mode | ✓ | ✓ |
| Vision | ✓ | ✓ |
| Audio | - | ✓ |
| Benchmark Scores | ||
| ai_index | 61.5 | 76.4 |
The verdict
For a sample job of 1 million input tokens and 250,000 output tokens, GPT-6 Luna (batch) costs $0.11 and MiMo-V2.6-Pro costs $0.65, so GPT-6 Luna (batch) is about 5.8 times cheaper for the same work.
Both read up to 1,050,000 tokens at once, roughly 1,575 pages of text.
Only MiMo-V2.6-Pro offers audio input and video input.
On our blended benchmark score MiMo-V2.6-Pro leads 79.0 to 62.2.
Across the 20 tasks where they differ, GPT-6 Luna (batch) scores higher on 2 (JSON Extraction, Bulk Data Labeling), MiMo-V2.6-Pro on 18 (SQL Generation, Code Review, Code Completion and others).
Pick GPT-6 Luna (batch) if you need lower cost; pick MiMo-V2.6-Pro if you need audio input, video input, benchmark performance 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 | OpenAI: GPT-6 Luna (batch) | Xiaomi: MiMo-V2.6-Pro |
|---|---|---|
| SQL Generation | 141 | 143 |
| Code Review | 143 | 146 |
| Code Completion | 133 | 133 |
| Code Refactoring | 145 | 148 |
| Bug Fixing | 147 | 150 |
| Unit Test Generation | 131 | 133 |
| Code Documentation | 137 | 138 |
| Regex Writing | 126 | 127 |
| CI/CD Pipelines | 127 | 129 |
| Frontend Component Design | 129 | 131 |
| Data Analysis | 133 | 135 |
| CSV / Spreadsheet Cleanup | 136 | 136 |
| ETL Scripting | 136 | 138 |
| JSON Extraction | 131 | 131 |
| Bulk Data Labeling | 129 | 129 |
| OCR / Document Parsing | 134 | 134 |
| Table Extraction from PDFs | 134 | 134 |
| Long-Document Summarization | 147 | 150 |
| Short-Form Summarization | 127 | 127 |
| Blog Post Writing | 129 | 131 |
Scores reflect capability match + benchmark data + pricing for each task. Methodology →