head-to-head

Xiaomi: MiMo-V2.6-Flash vs Google: Gemini 3.8 Flash (batch)

Side-by-side comparison of specs, pricing, benchmark scores, and task rankings. Updated 2026-09-27.

Xiaomi: MiMo-V2.6-Flash Google: Gemini 3.8 Flash (batch)
Vendorxiaomigoogle
Quality Score100100
Benchmark Score-69.0
Input Price$0.14/M$0.38/M
Output Price$0.28/M$1.88/M
Context Window1,048,5761,048,576
Max Output131,07265,536
Tool Calling✓✓
Structured Output✓✓
Reasoning Mode✓✓
Vision✓✓
Audio✓✓
Benchmark Scores
ai_index-67.5

The verdict

For a sample job of 1 million input tokens and 250,000 output tokens, MiMo-V2.6-Flash costs $0.21 and Gemini 3.8 Flash (batch) costs $0.84, so MiMo-V2.6-Flash is about 4.0 times cheaper for the same work.

Both read up to 1,048,576 tokens at once, roughly 1,573 pages of text.

Across the 20 tasks where they differ, MiMo-V2.6-Flash scores higher on 2 (JSON Extraction, Bulk Data Labeling), Gemini 3.8 Flash (batch) on 18 (SQL Generation, Code Review, Code Completion and others).

Pick MiMo-V2.6-Flash if you need lower cost; pick Gemini 3.8 Flash (batch) if you need 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?

TaskXiaomi: MiMo-V2.6-FlashGoogle: Gemini 3.8 Flash (batch)
SQL Generation 134 141
Code Review 132 144
Code Completion 131 132
Code Refactoring 136 146
Bug Fixing 136 148
Unit Test Generation 124 132
Code Documentation 131 137
Regex Writing 119 126
CI/CD Pipelines 120 128
Frontend Component Design 122 130
Data Analysis 124 134
CSV / Spreadsheet Cleanup 134 136
ETL Scripting 128 137
JSON Extraction 131 131
Bulk Data Labeling 129 129
OCR / Document Parsing 131 134
Table Extraction from PDFs 131 134
Long-Document Summarization 138 148
Short-Form Summarization 123 126
Blog Post Writing 122 129

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

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