head-to-head

Google: Gemma 4 31B vs Z.ai: GLM 5V Turbo

Side-by-side comparison of specs, pricing, benchmark scores, and task rankings. Updated 2026-11-07.

Google: Gemma 4 31B Z.ai: GLM 5V Turbo
Vendorgooglez-ai
Quality Score100100
Benchmark Score53.756.8
Input Price$0.20/M$1.20/M
Output Price$0.40/M$4.00/M
Context Window262,144202,752
Max Output16,384131,072
Tool Calling✓✓
Structured Output✓✓
Reasoning Mode✓✓
Vision✓✓
Audio--
Benchmark Scores
ai_index48.456.9
ai_index_agentic23.8-
ai_index_coding71.7-
eqbench57.5-

The verdict

For a sample job of 1 million input tokens and 250,000 output tokens, Gemma 4 31B costs $0.30 and GLM 5V Turbo costs $2.20, so Gemma 4 31B is about 7.3 times cheaper for the same work.

Both take in a similar amount of text: 262,144 and 202,752 tokens, about 393 and 304 pages.

On our blended benchmark score GLM 5V Turbo leads 56.8 to 53.7.

Across the 20 tasks where they differ, Gemma 4 31B scores higher on 20 (SQL Generation, Code Review, Code Completion and others).

Pick Gemma 4 31B if you need lower cost or the stronger all-round task scores; pick GLM 5V Turbo if you need benchmark performance.

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: Gemma 4 31BZ.ai: GLM 5V Turbo
SQL Generation 156 136
Code Review 152 134
Code Completion 131 116
Code Refactoring 151 133
Bug Fixing 160 138
Unit Test Generation 143 126
Code Documentation 137 128
Regex Writing 131 124
CI/CD Pipelines 135 122
Frontend Component Design 138 128
Data Analysis 152 132
CSV / Spreadsheet Cleanup 145 127
ETL Scripting 143 128
JSON Extraction 143 123
Bulk Data Labeling 133 120
OCR / Document Parsing 140 129
Table Extraction from PDFs 140 129
Long-Document Summarization 149 134
Short-Form Summarization 129 117
Blog Post Writing 133 124

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

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