MoonshotAI: Kimi K2.7 Code vs Qwen: Qwen3.7 Plus
Side-by-side comparison of specs, pricing, benchmark scores, and task rankings. Updated 2026-11-07.
| MoonshotAI: Kimi K2.7 Code | Qwen: Qwen3.7 Plus | |
|---|---|---|
| Vendor | moonshotai | qwen |
| Quality Score | 100 | 100 |
| Benchmark Score | 74.1 | 64.8 |
| Input Price | $0.60/M | $0.32/M |
| Output Price | $3.50/M | $1.28/M |
| Context Window | 262,144 | 1,000,000 |
| Max Output | 235,929 | 131,072 |
| Tool Calling | ✓ | ✓ |
| Structured Output | ✓ | ✓ |
| Reasoning Mode | ✓ | ✓ |
| Vision | ✓ | ✓ |
| Audio | - | - |
| Benchmark Scores | ||
| ai_index | 69.2 | 64.3 |
| ai_index_agentic | 48.8 | 34.3 |
| ai_index_coding | 100.0 | 92.2 |
The verdict
For a sample job of 1 million input tokens and 250,000 output tokens, Qwen3.7 Plus costs $0.64 and Kimi K2.7 Code costs $1.48, so Qwen3.7 Plus is about 2.3 times cheaper for the same work.
Qwen3.7 Plus reads up to 1,000,000 tokens at once, roughly 1,500 pages of text, against about 393 pages for Kimi K2.7 Code.
On our blended benchmark score Kimi K2.7 Code leads 74.1 to 64.8.
Across the 20 tasks where they differ, Kimi K2.7 Code scores higher on 7 (SQL Generation, Unit Test Generation, Regex Writing and others), Qwen3.7 Plus on 13 (Code Review, Code Completion, Code Refactoring and others).
Pick Kimi K2.7 Code if you need benchmark performance; pick Qwen3.7 Plus if you need lower cost or 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?
| Task | MoonshotAI: Kimi K2.7 Code | Qwen: Qwen3.7 Plus |
|---|---|---|
| SQL Generation | 163 | 162 |
| Code Review | 155 | 157 |
| Code Completion | 129 | 133 |
| Code Refactoring | 151 | 157 |
| Bug Fixing | 165 | 166 |
| Unit Test Generation | 147 | 147 |
| Code Documentation | 135 | 140 |
| Regex Writing | 133 | 131 |
| CI/CD Pipelines | 138 | 138 |
| Frontend Component Design | 142 | 140 |
| Data Analysis | 162 | 156 |
| CSV / Spreadsheet Cleanup | 147 | 151 |
| ETL Scripting | 144 | 147 |
| JSON Extraction | 147 | 146 |
| Bulk Data Labeling | 134 | 134 |
| OCR / Document Parsing | 142 | 144 |
| Table Extraction from PDFs | 142 | 144 |
| Long-Document Summarization | 147 | 153 |
| Short-Form Summarization | 130 | 129 |
| Blog Post Writing | 134 | 135 |
Scores reflect capability match + benchmark data + pricing for each task. Methodology →