picksbymodel Get API access →
head-to-head

Google: Gemini 3.6 Flash (batch) vs MoonshotAI: Kimi K2.7 Code

Side-by-side comparison of specs, pricing, benchmark scores, and task rankings. Updated 2026-07-29.

Google: Gemini 3.6 Flash (batch) MoonshotAI: Kimi K2.7 Code
Vendorgooglemoonshotai
Quality Score100100
Benchmark Score83.973.4
Input Price$0.75/M$0.73/M
Output Price$3.75/M$3.50/M
Context Window1,048,576262,144
Max Output65,536262,144
Tool Calling✓✓
Structured Output✓✓
Reasoning Mode✓✓
Vision✓✓
Audio✓-
Benchmark Scores
ai_index82.669.2
ai_index_agentic63.948.8
ai_index_coding100.0100.0

Who wins by task?

TaskGoogle: Gemini 3.6 Flash (batch)MoonshotAI: Kimi K2.7 Code
SQL Generation 169 163
Code Review 165 155
Code Completion 132 129
Code Refactoring 162 151
Bug Fixing 177 165
Unit Test Generation 153 147
Code Documentation 142 135
Regex Writing 135 133
CI/CD Pipelines 143 138
Frontend Component Design 145 142
Data Analysis 167 162
CSV / Spreadsheet Cleanup 153 147
ETL Scripting 153 144
JSON Extraction 148 147
Bulk Data Labeling 134 134
OCR / Document Parsing 146 142
Table Extraction from PDFs 146 142
Long-Document Summarization 158 147
Short-Form Summarization 131 130
Blog Post Writing 139 134

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

Related comparisons

Qwen: Qwen3.7 Flash vs Google: Gemini 3.6 Flash (batch) Qwen: Qwen3.7 Flash vs MoonshotAI: Kimi K2.7 Code Google: Gemini 3.6 Flash vs Google: Gemini 3.6 Flash (batch) Google: Gemini 3.6 Flash vs MoonshotAI: Kimi K2.7 Code Google: Gemini 3.6 Flash (batch) vs Google: Gemini 3.5 Flash Lite Google: Gemini 3.6 Flash (batch) vs Google: Gemini 3.5 Flash Lite (batch) Google: Gemini 3.6 Flash (batch) vs Thinking Machines: Inkling Google: Gemini 3.6 Flash (batch) vs Meta: Muse Spark 1.1