Z.ai: GLM 5.3 Flash (batch) vs MoonshotAI: Kimi K2.7 Code
Side-by-side comparison of specs, pricing, benchmark scores, and task rankings. Updated 2026-11-07.
| Z.ai: GLM 5.3 Flash (batch) | MoonshotAI: Kimi K2.7 Code | |
|---|---|---|
| Vendor | z-ai | moonshotai |
| Quality Score | 100 | 100 |
| Benchmark Score | - | 74.1 |
| Input Price | $0.05/M | $0.60/M |
| Output Price | $0.18/M | $3.50/M |
| Context Window | 1,048,576 | 262,144 |
| Max Output | 131,072 | 235,929 |
| 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, GLM 5.3 Flash (batch) costs $0.095 and Kimi K2.7 Code costs $1.48, so GLM 5.3 Flash (batch) is about 15.5 times cheaper for the same work.
GLM 5.3 Flash (batch) reads up to 1,048,576 tokens at once, roughly 1,573 pages of text, against about 393 pages for Kimi K2.7 Code.
Only GLM 5.3 Flash (batch) offers video input.
Across the 20 tasks where they differ, GLM 5.3 Flash (batch) scores higher on 1 (Code Completion), Kimi K2.7 Code on 19 (SQL Generation, Code Review, Code Refactoring and others).
GLM 5.3 Flash (batch) was released in August 2026 and Kimi K2.7 Code in June 2026.
Pick GLM 5.3 Flash (batch) if you need lower cost, long documents or video input; pick Kimi K2.7 Code if you need 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 | Z.ai: GLM 5.3 Flash (batch) | MoonshotAI: Kimi K2.7 Code |
|---|---|---|
| SQL Generation | 134 | 163 |
| Code Review | 132 | 155 |
| Code Completion | 132 | 129 |
| Code Refactoring | 136 | 151 |
| Bug Fixing | 136 | 165 |
| Unit Test Generation | 124 | 147 |
| Code Documentation | 132 | 135 |
| Regex Writing | 120 | 133 |
| CI/CD Pipelines | 120 | 138 |
| Frontend Component Design | 122 | 142 |
| Data Analysis | 124 | 162 |
| CSV / Spreadsheet Cleanup | 134 | 147 |
| ETL Scripting | 128 | 144 |
| JSON Extraction | 132 | 147 |
| Bulk Data Labeling | 129 | 134 |
| OCR / Document Parsing | 131 | 142 |
| Table Extraction from PDFs | 131 | 142 |
| Long-Document Summarization | 138 | 147 |
| Short-Form Summarization | 124 | 130 |
| Blog Post Writing | 122 | 134 |
Scores reflect capability match + benchmark data + pricing for each task. Methodology →