head-to-head

OpenAI: GPT-5.6 Luna vs Xiaomi: MiMo-V2.5

Side-by-side comparison of specs, pricing, benchmark scores, and task rankings. Updated 2026-11-07.

OpenAI: GPT-5.6 Luna Xiaomi: MiMo-V2.5
Vendoropenaixiaomi
Quality Score100100
Benchmark Score89.4-
Input Price$0.20/M$0.40/M
Output Price$1.20/M$2.00/M
Context Window1,050,0001,000,000
Max Output128,00065,536
Tool Calling✓✓
Structured Output✓✓
Reasoning Mode✓✓
Vision✓✓
Audio-✓
Benchmark Scores
ai_index84.5-
ai_index_agentic75.2-
ai_index_coding100.0-

The verdict

For a sample job of 1 million input tokens and 250,000 output tokens, GPT-5.6 Luna costs $0.50 and MiMo-V2.5 costs $0.90, so GPT-5.6 Luna is about 1.8 times cheaper for the same work.

Both take in a similar amount of text: 1,050,000 and 1,000,000 tokens, about 1,575 and 1,500 pages.

Only MiMo-V2.5 offers audio input and video input.

Across the 20 tasks where they differ, GPT-5.6 Luna scores higher on 20 (SQL Generation, Code Review, Code Completion and others).

GPT-5.6 Luna was released in July 2026 and MiMo-V2.5 in April 2026.

Pick GPT-5.6 Luna if you need lower cost or the stronger all-round task scores; pick MiMo-V2.5 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?

TaskOpenAI: GPT-5.6 LunaXiaomi: MiMo-V2.5
SQL Generation 171 133
Code Review 166 132
Code Completion 133 131
Code Refactoring 163 136
Bug Fixing 179 136
Unit Test Generation 154 124
Code Documentation 143 131
Regex Writing 136 119
CI/CD Pipelines 144 120
Frontend Component Design 146 122
Data Analysis 170 124
CSV / Spreadsheet Cleanup 154 133
ETL Scripting 154 128
JSON Extraction 149 131
Bulk Data Labeling 135 129
OCR / Document Parsing 146 131
Table Extraction from PDFs 146 131
Long-Document Summarization 159 137
Short-Form Summarization 132 123
Blog Post Writing 140 121

Scores reflect capability match + benchmark data + pricing for each task. Methodology →

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