head-to-head

OpenAI: GPT-5.6 Terra Pro vs MoonshotAI: Kimi K2.7 Code

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

OpenAI: GPT-5.6 Terra Pro MoonshotAI: Kimi K2.7 Code
Vendoropenaimoonshotai
Quality Score100100
Benchmark Score-74.1
Input Price$2.00/M$0.60/M
Output Price$12.00/M$3.50/M
Context Window1,050,000262,144
Max Output128,000235,929
Tool Calling✓✓
Structured Output✓✓
Reasoning Mode✓✓
Vision✓✓
Audio--
Benchmark Scores
ai_index-69.2
ai_index_agentic-48.8
ai_index_coding-100.0

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-5.6 Terra Pro costs $5.00, so Kimi K2.7 Code is about 3.4 times cheaper for the same work.

GPT-5.6 Terra Pro reads up to 1,050,000 tokens at once, roughly 1,575 pages of text, against about 393 pages for Kimi K2.7 Code.

Across the 20 tasks where they differ, Kimi K2.7 Code on 20 (SQL Generation, Code Review, Code Completion and others).

GPT-5.6 Terra Pro was released in July 2026 and Kimi K2.7 Code in June 2026.

Pick GPT-5.6 Terra Pro if you need long documents; pick Kimi K2.7 Code if you need lower cost or 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?

TaskOpenAI: GPT-5.6 Terra ProMoonshotAI: Kimi K2.7 Code
SQL Generation 132 163
Code Review 132 155
Code Completion 117 129
Code Refactoring 136 151
Bug Fixing 136 165
Unit Test Generation 124 147
Code Documentation 129 135
Regex Writing 117 133
CI/CD Pipelines 120 138
Frontend Component Design 122 142
Data Analysis 124 162
CSV / Spreadsheet Cleanup 132 147
ETL Scripting 128 144
JSON Extraction 121 147
Bulk Data Labeling 117 134
OCR / Document Parsing 131 142
Table Extraction from PDFs 131 142
Long-Document Summarization 136 147
Short-Form Summarization 113 130
Blog Post Writing 120 134

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

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