head-to-head

Qwen: Qwen3.6 27B vs Xiaomi: MiMo-V2.5

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

Qwen: Qwen3.6 27B Xiaomi: MiMo-V2.5
Vendorqwenxiaomi
Quality Score100100
Benchmark Score65.8-
Input Price$0.32/M$0.40/M
Output Price$3.20/M$2.00/M
Context Window262,1441,000,000
Max Output81,92065,536
Tool Calling✓✓
Structured Output✓✓
Reasoning Mode✓✓
Vision✓✓
Audio-✓
Benchmark Scores
ai_index61.1-
ai_index_agentic44.6-
ai_index_coding88.6-

The verdict

For a sample job of 1 million input tokens and 250,000 output tokens, MiMo-V2.5 costs $0.90 and Qwen3.6 27B costs $1.12, so MiMo-V2.5 is about 1.2 times cheaper for the same work.

MiMo-V2.5 reads up to 1,000,000 tokens at once, roughly 1,500 pages of text, against about 393 pages for Qwen3.6 27B.

Only MiMo-V2.5 offers audio input.

Across the 20 tasks where they differ, Qwen3.6 27B scores higher on 19 (SQL Generation, Code Review, Code Refactoring and others), MiMo-V2.5 on 1 (Code Completion).

Pick Qwen3.6 27B if you need the stronger all-round task scores; pick MiMo-V2.5 if you need lower cost, long documents or audio 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?

TaskQwen: Qwen3.6 27BXiaomi: MiMo-V2.5
SQL Generation 159 133
Code Review 152 132
Code Completion 129 131
Code Refactoring 148 136
Bug Fixing 162 136
Unit Test Generation 144 124
Code Documentation 134 131
Regex Writing 131 119
CI/CD Pipelines 135 120
Frontend Component Design 140 122
Data Analysis 158 124
CSV / Spreadsheet Cleanup 145 133
ETL Scripting 142 128
JSON Extraction 145 131
Bulk Data Labeling 133 129
OCR / Document Parsing 141 131
Table Extraction from PDFs 141 131
Long-Document Summarization 145 137
Short-Form Summarization 129 123
Blog Post Writing 132 121

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

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