Google: Gemma 4 26B A4B vs OpenAI: GPT-5.4
Side-by-side comparison of specs, pricing, benchmark scores, and task rankings. Updated 2026-11-07.
| Google: Gemma 4 26B A4B | OpenAI: GPT-5.4 | |
|---|---|---|
| Vendor | openai | |
| Quality Score | 100 | 100 |
| Benchmark Score | 48.4 | 89.6 |
| Input Price | $0.07/M | $2.50/M |
| Output Price | $0.23/M | $15.00/M |
| Context Window | 262,144 | 1,050,000 |
| Max Output | 235,929 | 128,000 |
| Tool Calling | ✓ | ✓ |
| Structured Output | ✓ | ✓ |
| Reasoning Mode | ✓ | ✓ |
| Vision | ✓ | ✓ |
| Audio | - | - |
| Benchmark Scores | ||
| ai_index | 42.4 | 84.8 |
| ai_index_agentic | 18.1 | 67.8 |
| ai_index_coding | 64.9 | 100.0 |
| eqbench | 56.3 | 75.6 |
The verdict
For a sample job of 1 million input tokens and 250,000 output tokens, Gemma 4 26B A4B costs $0.12 and GPT-5.4 costs $6.25, so Gemma 4 26B A4B is about 50.5 times cheaper for the same work.
GPT-5.4 reads up to 1,050,000 tokens at once, roughly 1,575 pages of text, against about 393 pages for Gemma 4 26B A4B .
Only Gemma 4 26B A4B offers video input.
On our blended benchmark score GPT-5.4 leads 89.6 to 48.4.
Across the 20 tasks where they differ, Gemma 4 26B A4B scores higher on 4 (Code Completion, JSON Extraction, Bulk Data Labeling and others), GPT-5.4 on 16 (SQL Generation, Code Review, Code Refactoring and others).
Gemma 4 26B A4B was released in April 2026 and GPT-5.4 in March 2026.
Pick Gemma 4 26B A4B if you need lower cost or video input; pick GPT-5.4 if you need long documents, benchmark performance 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?
| Task | Google: Gemma 4 26B A4B | OpenAI: GPT-5.4 |
|---|---|---|
| SQL Generation | 153 | 174 |
| Code Review | 150 | 175 |
| Code Completion | 131 | 120 |
| Code Refactoring | 148 | 173 |
| Bug Fixing | 156 | 187 |
| Unit Test Generation | 140 | 158 |
| Code Documentation | 136 | 146 |
| Regex Writing | 130 | 136 |
| CI/CD Pipelines | 133 | 149 |
| Frontend Component Design | 136 | 148 |
| Data Analysis | 148 | 173 |
| CSV / Spreadsheet Cleanup | 143 | 157 |
| ETL Scripting | 141 | 161 |
| JSON Extraction | 142 | 137 |
| Bulk Data Labeling | 133 | 122 |
| OCR / Document Parsing | 138 | 148 |
| Table Extraction from PDFs | 138 | 148 |
| Long-Document Summarization | 147 | 167 |
| Short-Form Summarization | 129 | 122 |
| Blog Post Writing | 131 | 143 |
Scores reflect capability match + benchmark data + pricing for each task. Methodology →