head-to-head

Z.ai: GLM Flash Latest vs Google: Gemini 3.5 Flash Lite

Side-by-side comparison of specs, pricing, benchmark scores, and task rankings. Updated 2026-10-19.

Z.ai: GLM Flash Latest Google: Gemini 3.5 Flash Lite
Vendor~z-aigoogle
Quality Score100100
Benchmark Score-31.8
Input Price$0.05/M$0.30/M
Output Price$0.20/M$2.50/M
Context Window1,048,5761,048,576
Max Output943,71865,536
Tool Calling✓✓
Structured Output✓✓
Reasoning Mode✓✓
Vision✓✓
Audio-✓
Benchmark Scores
ai_index-36.6

The verdict

For a sample job of 1 million input tokens and 250,000 output tokens, GLM Flash Latest costs $0.098 and Gemini 3.5 Flash Lite costs $0.93, so GLM Flash Latest is about 9.4 times cheaper for the same work.

Both read up to 1,048,576 tokens at once, roughly 1,573 pages of text.

Only Gemini 3.5 Flash Lite offers audio input.

Across the 20 tasks where they differ, GLM Flash Latest scores higher on 2 (JSON Extraction, Bulk Data Labeling), Gemini 3.5 Flash Lite on 18 (SQL Generation, Code Review, Code Completion and others).

GLM Flash Latest was released in August 2026 and Gemini 3.5 Flash Lite in July 2026.

Pick GLM Flash Latest if you need lower cost; pick Gemini 3.5 Flash Lite if you need audio input 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?

TaskZ.ai: GLM Flash LatestGoogle: Gemini 3.5 Flash Lite
SQL Generation 134 138
Code Review 132 139
Code Completion 132 132
Code Refactoring 136 141
Bug Fixing 136 143
Unit Test Generation 124 128
Code Documentation 132 134
Regex Writing 120 123
CI/CD Pipelines 120 124
Frontend Component Design 122 126
Data Analysis 124 129
CSV / Spreadsheet Cleanup 134 135
ETL Scripting 128 133
JSON Extraction 132 131
Bulk Data Labeling 129 129
OCR / Document Parsing 131 132
Table Extraction from PDFs 131 132
Long-Document Summarization 138 143
Short-Form Summarization 124 125
Blog Post Writing 122 126

Scores reflect capability match + benchmark data + pricing for each task. Methodology →

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