OpenAI: GPT-6 Luna vs Xiaomi: MiMo-V2.6-Pro
Side-by-side comparison of specs, pricing, benchmark scores, and task rankings. Updated 2026-11-07.
| OpenAI: GPT-6 Luna | Xiaomi: MiMo-V2.6-Pro | |
|---|---|---|
| Vendor | openai | xiaomi |
| Quality Score | 100 | 100 |
| Input Price | $0.10/M | $0.43/M |
| Output Price | $0.50/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 | - | ✓ |
The verdict
For a sample job of 1 million input tokens and 250,000 output tokens, GPT-6 Luna costs $0.23 and MiMo-V2.6-Pro costs $0.65, so GPT-6 Luna is about 2.9 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.
Across the 6 tasks where they differ, GPT-6 Luna scores higher on 6 (Code Completion, Code Documentation, Regex Writing and others).
Pick GPT-6 Luna if you need lower cost or the stronger all-round task scores; pick MiMo-V2.6-Pro if you need 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 | OpenAI: GPT-6 Luna | Xiaomi: MiMo-V2.6-Pro |
|---|---|---|
| Code Completion | 131 | 131 |
| Code Documentation | 131 | 131 |
| Regex Writing | 119 | 119 |
| JSON Extraction | 131 | 131 |
| Bulk Data Labeling | 129 | 129 |
| Short-Form Summarization | 123 | 123 |
Scores reflect capability match + benchmark data + pricing for each task. Methodology →