head-to-head

MoonshotAI: Kimi K3 vs OpenAI: GPT-5.6 Luna (batch)

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

MoonshotAI: Kimi K3 OpenAI: GPT-5.6 Luna (batch)
Vendormoonshotaiopenai
Quality Score100100
Benchmark Score73.962.3
Input Price$3.00/M$0.10/M
Output Price$15.00/M$0.60/M
Context Window1,048,5761,050,000
Max Output943,718128,000
Tool Calling✓✓
Structured Output✓✓
Reasoning Mode✓✓
Vision✓✓
Audio--
Benchmark Scores
ai_index71.961.6

The verdict

For a sample job of 1 million input tokens and 250,000 output tokens, GPT-5.6 Luna (batch) costs $0.25 and Kimi K3 costs $6.75, so GPT-5.6 Luna (batch) is about 27.0 times cheaper for the same work.

Both take in a similar amount of text: 1,048,576 and 1,050,000 tokens, about 1,573 and 1,575 pages.

Only Kimi K3 offers video input.

On our blended benchmark score Kimi K3 leads 73.9 to 62.3.

Across the 20 tasks where they differ, Kimi K3 scores higher on 10 (Code Review, Code Refactoring, Bug Fixing and others), GPT-5.6 Luna (batch) on 10 (SQL Generation, Code Completion, Code Documentation and others).

Pick Kimi K3 if you need video input or benchmark performance; pick GPT-5.6 Luna (batch) if you need lower cost.

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 K3OpenAI: GPT-5.6 Luna (batch)
SQL Generation 140 141
Code Review 145 143
Code Completion 117 133
Code Refactoring 147 145
Bug Fixing 149 147
Unit Test Generation 132 131
Code Documentation 134 137
Regex Writing 123 126
CI/CD Pipelines 128 127
Frontend Component Design 130 129
Data Analysis 134 133
CSV / Spreadsheet Cleanup 135 136
ETL Scripting 138 136
JSON Extraction 120 131
Bulk Data Labeling 116 129
OCR / Document Parsing 134 134
Table Extraction from PDFs 134 134
Long-Document Summarization 147 147
Short-Form Summarization 116 126
Blog Post Writing 128 129

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

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