OpenAI: GPT-5.6 Luna (batch) 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 Luna (batch) | MoonshotAI: Kimi K2.7 Code | |
|---|---|---|
| Vendor | openai | moonshotai |
| Quality Score | 100 | 100 |
| Benchmark Score | 89.4 | 74.1 |
| Input Price | $0.10/M | $0.60/M |
| Output Price | $0.60/M | $3.50/M |
| Context Window | 1,050,000 | 262,144 |
| Max Output | 128,000 | 235,929 |
| Tool Calling | ✓ | ✓ |
| Structured Output | ✓ | ✓ |
| Reasoning Mode | ✓ | ✓ |
| Vision | ✓ | ✓ |
| Audio | - | - |
| Benchmark Scores | ||
| ai_index | 84.5 | 69.2 |
| ai_index_agentic | 75.2 | 48.8 |
| ai_index_coding | 100.0 | 100.0 |
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 K2.7 Code costs $1.48, so GPT-5.6 Luna (batch) is about 5.9 times cheaper for the same work.
GPT-5.6 Luna (batch) reads up to 1,050,000 tokens at once, roughly 1,575 pages of text, against about 393 pages for Kimi K2.7 Code.
On our blended benchmark score GPT-5.6 Luna (batch) leads 89.4 to 74.1.
Across the 20 tasks where they differ, GPT-5.6 Luna (batch) scores higher on 20 (SQL Generation, Code Review, Code Completion and others).
GPT-5.6 Luna (batch) was released in July 2026 and Kimi K2.7 Code in June 2026.
Pick GPT-5.6 Luna (batch) if you need lower cost, long documents, benchmark performance 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?
| Task | OpenAI: GPT-5.6 Luna (batch) | MoonshotAI: Kimi K2.7 Code |
|---|---|---|
| SQL Generation | 171 | 163 |
| Code Review | 166 | 155 |
| Code Completion | 133 | 129 |
| Code Refactoring | 163 | 151 |
| Bug Fixing | 179 | 165 |
| Unit Test Generation | 154 | 147 |
| Code Documentation | 143 | 135 |
| Regex Writing | 136 | 133 |
| CI/CD Pipelines | 144 | 138 |
| Frontend Component Design | 146 | 142 |
| Data Analysis | 170 | 162 |
| CSV / Spreadsheet Cleanup | 154 | 147 |
| ETL Scripting | 154 | 144 |
| JSON Extraction | 149 | 147 |
| Bulk Data Labeling | 135 | 134 |
| OCR / Document Parsing | 146 | 142 |
| Table Extraction from PDFs | 146 | 142 |
| Long-Document Summarization | 160 | 147 |
| Short-Form Summarization | 132 | 130 |
| Blog Post Writing | 140 | 134 |
Scores reflect capability match + benchmark data + pricing for each task. Methodology →