head-to-head

OpenAI: GPT-5.4 Mini vs OpenAI: GPT-5.4

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

OpenAI: GPT-5.4 Mini OpenAI: GPT-5.4
Vendoropenaiopenai
Quality Score100100
Benchmark Score70.889.6
Input Price$0.75/M$2.50/M
Output Price$4.50/M$15.00/M
Context Window400,0001,050,000
Max Output128,000128,000
Tool Calling✓✓
Structured Output✓✓
Reasoning Mode✓✓
Vision✓✓
Audio--
Benchmark Scores
ai_index66.084.8
ai_index_agentic49.867.8
ai_index_coding92.5100.0
eqbench-75.6

The verdict

For a sample job of 1 million input tokens and 250,000 output tokens, GPT-5.4 Mini costs $1.88 and GPT-5.4 costs $6.25, so GPT-5.4 Mini is about 3.3 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 600 pages for GPT-5.4 Mini.

On our blended benchmark score GPT-5.4 leads 89.6 to 70.8.

Across the 20 tasks where they differ, GPT-5.4 Mini 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).

Pick GPT-5.4 Mini if you need lower cost; 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?

TaskOpenAI: GPT-5.4 MiniOpenAI: GPT-5.4
SQL Generation 164 174
Code Review 159 175
Code Completion 132 120
Code Refactoring 158 173
Bug Fixing 170 187
Unit Test Generation 148 158
Code Documentation 140 146
Regex Writing 132 136
CI/CD Pipelines 139 149
Frontend Component Design 141 148
Data Analysis 160 173
CSV / Spreadsheet Cleanup 151 157
ETL Scripting 149 161
JSON Extraction 146 137
Bulk Data Labeling 133 122
OCR / Document Parsing 144 148
Table Extraction from PDFs 144 148
Long-Document Summarization 154 167
Short-Form Summarization 129 122
Blog Post Writing 136 143

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

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