head-to-head

MoonshotAI: Kimi K2.7 Code vs OpenAI: GPT Mini Latest

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

MoonshotAI: Kimi K2.7 Code OpenAI: GPT Mini Latest
Vendormoonshotai~openai
Quality Score100100
Benchmark Score74.1-
Input Price$0.60/M$0.75/M
Output Price$3.50/M$4.50/M
Context Window262,144400,000
Max Output235,929128,000
Tool Calling✓✓
Structured Output✓✓
Reasoning Mode✓✓
Vision✓✓
Audio--
Benchmark Scores
ai_index69.2-
ai_index_agentic48.8-
ai_index_coding100.0-

The verdict

For a sample job of 1 million input tokens and 250,000 output tokens, Kimi K2.7 Code costs $1.48 and GPT Mini Latest costs $1.88, so Kimi K2.7 Code is about 1.3 times cheaper for the same work.

GPT Mini Latest reads up to 400,000 tokens at once, roughly 600 pages of text, against about 393 pages for Kimi K2.7 Code.

Across the 20 tasks where they differ, Kimi K2.7 Code scores higher on 19 (SQL Generation, Code Review, Code Refactoring and others), GPT Mini Latest on 1 (Code Completion).

Kimi K2.7 Code was released in June 2026 and GPT Mini Latest in April 2026.

Pick Kimi K2.7 Code if you need lower cost or the stronger all-round task scores; pick GPT Mini Latest if you need long documents.

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?

TaskMoonshotAI: Kimi K2.7 CodeOpenAI: GPT Mini Latest
SQL Generation 163 133
Code Review 155 132
Code Completion 129 130
Code Refactoring 151 136
Bug Fixing 165 136
Unit Test Generation 147 124
Code Documentation 135 130
Regex Writing 133 119
CI/CD Pipelines 138 120
Frontend Component Design 142 122
Data Analysis 162 124
CSV / Spreadsheet Cleanup 147 133
ETL Scripting 144 128
JSON Extraction 147 130
Bulk Data Labeling 134 128
OCR / Document Parsing 142 131
Table Extraction from PDFs 142 131
Long-Document Summarization 147 137
Short-Form Summarization 130 123
Blog Post Writing 134 121

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

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