head-to-head

OpenAI: GPT Mini Latest vs OpenAI: GPT-5.4

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

OpenAI: GPT Mini Latest OpenAI: GPT-5.4
Vendor~openaiopenai
Quality Score100100
Benchmark Score-89.6
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_index-84.8
ai_index_agentic-67.8
ai_index_coding-100.0
eqbench-75.6

The verdict

For a sample job of 1 million input tokens and 250,000 output tokens, GPT Mini Latest costs $1.88 and GPT-5.4 costs $6.25, so GPT Mini Latest 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 Mini Latest.

Across the 20 tasks where they differ, GPT Mini Latest scores higher on 3 (Code Completion, Bulk Data Labeling, Short-Form Summarization), GPT-5.4 on 17 (SQL Generation, Code Review, Code Refactoring and others).

GPT Mini Latest was released in April 2026 and GPT-5.4 in March 2026.

Pick GPT Mini Latest if you need lower cost; pick GPT-5.4 if you need long documents 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 Mini LatestOpenAI: GPT-5.4
SQL Generation 133 174
Code Review 132 175
Code Completion 130 120
Code Refactoring 136 173
Bug Fixing 136 187
Unit Test Generation 124 158
Code Documentation 130 146
Regex Writing 119 136
CI/CD Pipelines 120 149
Frontend Component Design 122 148
Data Analysis 124 173
CSV / Spreadsheet Cleanup 133 157
ETL Scripting 128 161
JSON Extraction 130 137
Bulk Data Labeling 128 122
OCR / Document Parsing 131 148
Table Extraction from PDFs 131 148
Long-Document Summarization 137 167
Short-Form Summarization 123 122
Blog Post Writing 121 143

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

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