head-to-head

Google: Gemma 4 26B A4B (free) 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 26B A4B (free) Z.ai: GLM 5V Turbo
Vendorgooglez-ai
Quality Score100100
Benchmark Score48.456.8
Input PriceFree$1.20/M
Output PriceFree$4.00/M
Context Window262,144202,752
Max Output32,768131,072
Tool Calling✓✓
Structured Output✓✓
Reasoning Mode✓✓
Vision✓✓
Audio--
Benchmark Scores
ai_index42.456.9
ai_index_agentic18.1-
ai_index_coding64.9-
eqbench56.3-

The verdict

For a sample job of 1 million input tokens and 250,000 output tokens, Gemma 4 26B A4B (free) costs $0 and GLM 5V Turbo costs $2.20, so Gemma 4 26B A4B (free) is free 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 48.4.

Across the 20 tasks where they differ, Gemma 4 26B A4B (free) scores higher on 20 (SQL Generation, Code Review, Code Completion and others).

Pick Gemma 4 26B A4B (free) 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 26B A4B (free)Z.ai: GLM 5V Turbo
SQL Generation 153 136
Code Review 150 134
Code Completion 131 116
Code Refactoring 148 133
Bug Fixing 156 138
Unit Test Generation 140 126
Code Documentation 136 128
Regex Writing 130 124
CI/CD Pipelines 133 122
Frontend Component Design 136 128
Data Analysis 148 132
CSV / Spreadsheet Cleanup 143 127
ETL Scripting 141 128
JSON Extraction 142 123
Bulk Data Labeling 133 120
OCR / Document Parsing 138 129
Table Extraction from PDFs 138 129
Long-Document Summarization 147 134
Short-Form Summarization 129 117
Blog Post Writing 132 124

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

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