head-to-head

Z.ai: GLM 5.3 Flash 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 MoonshotAI: Kimi K2.7 Code
Vendorz-aimoonshotai
Quality Score100100
Benchmark Score-74.1
Input Price$0.03/M$0.60/M
Output Price$0.08/M$3.50/M
Context Window1,048,576262,144
Max Output131,072235,929
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 costs $0.054 and Kimi K2.7 Code costs $1.48, so GLM 5.3 Flash is about 27.2 times cheaper for the same work.

GLM 5.3 Flash 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 offers video input.

Across the 20 tasks where they differ, GLM 5.3 Flash scores higher on 1 (Code Completion), Kimi K2.7 Code on 19 (SQL Generation, Code Review, Code Refactoring and others).

GLM 5.3 Flash was released in August 2026 and Kimi K2.7 Code in June 2026.

Pick GLM 5.3 Flash 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?

TaskZ.ai: GLM 5.3 FlashMoonshotAI: 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 130 134
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 →

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