MoonshotAI: Kimi K3 vs OpenAI: GPT-5.6 Luna (batch)
Side-by-side comparison of specs, pricing, benchmark scores, and task rankings. Updated 2026-11-12.
| MoonshotAI: Kimi K3 | OpenAI: GPT-5.6 Luna (batch) | |
|---|---|---|
| Vendor | moonshotai | openai |
| Quality Score | 100 | 100 |
| Input Price | $0.19/M | $0.10/M |
| Output Price | $16.00/M | $0.60/M |
| Context Window | 1,048,576 | 1,050,000 |
| Max Output | 943,718 | 128,000 |
| Tool Calling | ✓ | ✓ |
| Structured Output | ✓ | ✓ |
| Reasoning Mode | ✓ | ✓ |
| Vision | ✓ | ✓ |
| Audio | - | - |
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 $4.19, so GPT-5.6 Luna (batch) is about 16.8 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.
Across the 10 tasks where they differ, GPT-5.6 Luna (batch) on 10 (SQL Generation, Code Completion, Code Documentation and others).
Pick Kimi K3 if you need video input; pick GPT-5.6 Luna (batch) 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?
| Task | MoonshotAI: Kimi K3 | OpenAI: GPT-5.6 Luna (batch) |
|---|---|---|
| SQL Generation | 132 | 133 |
| Code Completion | 128 | 131 |
| Code Documentation | 128 | 131 |
| Regex Writing | 116 | 119 |
| CSV / Spreadsheet Cleanup | 132 | 133 |
| JSON Extraction | 128 | 131 |
| Bulk Data Labeling | 125 | 129 |
| Long-Document Summarization | 136 | 137 |
| Short-Form Summarization | 120 | 123 |
| Blog Post Writing | 120 | 121 |
Scores reflect capability match + benchmark data + pricing for each task. Methodology →