OpenAI: GPT-6 Luna (batch) vs Xiaomi: MiMo-V2.6-Flash
Side-by-side comparison of specs, pricing, benchmark scores, and task rankings. Updated 2026-10-13.
| OpenAI: GPT-6 Luna (batch) | Xiaomi: MiMo-V2.6-Flash | |
|---|---|---|
| Vendor | openai | xiaomi |
| Quality Score | 100 | 100 |
| Benchmark Score | 63.8 | 63.3 |
| Input Price | $0.05/M | $0.14/M |
| Output Price | $0.25/M | $0.28/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 | 62.9 | 62.5 |
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-Flash costs $0.21, so GPT-6 Luna (batch) is about 1.9 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-Flash offers audio input and video input.
Across the 5 tasks where they differ, GPT-6 Luna (batch) scores higher on 5 (Code Review, Code Refactoring, Bug Fixing and others).
Pick GPT-6 Luna (batch) if you need lower cost or the stronger all-round task scores; pick MiMo-V2.6-Flash 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 (batch) | Xiaomi: MiMo-V2.6-Flash |
|---|---|---|
| Code Review | 144 | 143 |
| Code Refactoring | 146 | 146 |
| Bug Fixing | 148 | 147 |
| Code Documentation | 137 | 137 |
| Short-Form Summarization | 127 | 127 |
Scores reflect capability match + benchmark data + pricing for each task. Methodology →