head-to-head

Google: Gemini 3.8 Flash (batch) vs Z.ai: GLM Flash Latest

Side-by-side comparison of specs, pricing, benchmark scores, and task rankings. Updated 2026-09-27.

Google: Gemini 3.8 Flash (batch) Z.ai: GLM Flash Latest
Vendorgoogle~z-ai
Quality Score100100
Benchmark Score69.0-
Input Price$0.38/M$0.04/M
Output Price$1.88/M$0.14/M
Context Window1,048,5761,310,720
Max Output65,536128,000
Tool Calling✓✓
Structured Output✓✓
Reasoning Mode✓✓
Vision✓✓
Audio✓-
Benchmark Scores
ai_index67.5-

The verdict

For a sample job of 1 million input tokens and 250,000 output tokens, GLM Flash Latest costs $0.080 and Gemini 3.8 Flash (batch) costs $0.84, so GLM Flash Latest is about 10.5 times cheaper for the same work.

Both take in a similar amount of text: 1,048,576 and 1,310,720 tokens, about 1,573 and 1,966 pages.

Only Gemini 3.8 Flash (batch) offers audio input.

Across the 20 tasks where they differ, Gemini 3.8 Flash (batch) scores higher on 18 (SQL Generation, Code Review, Code Completion and others), GLM Flash Latest on 2 (JSON Extraction, Bulk Data Labeling).

Gemini 3.8 Flash (batch) was released in September 2026 and GLM Flash Latest in August 2026.

Pick Gemini 3.8 Flash (batch) if you need audio input or the stronger all-round task scores; pick GLM Flash Latest if you need lower cost.

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?

TaskGoogle: Gemini 3.8 Flash (batch)Z.ai: GLM Flash Latest
SQL Generation 141 134
Code Review 144 132
Code Completion 132 132
Code Refactoring 146 136
Bug Fixing 148 136
Unit Test Generation 132 124
Code Documentation 137 132
Regex Writing 126 120
CI/CD Pipelines 128 120
Frontend Component Design 130 122
Data Analysis 134 124
CSV / Spreadsheet Cleanup 136 134
ETL Scripting 137 128
JSON Extraction 131 132
Bulk Data Labeling 129 129
OCR / Document Parsing 134 131
Table Extraction from PDFs 134 131
Long-Document Summarization 148 138
Short-Form Summarization 126 124
Blog Post Writing 129 122

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

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