head-to-head

OpenAI: GPT-5.4 vs OpenAI: GPT-5.3-Codex

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

OpenAI: GPT-5.4 OpenAI: GPT-5.3-Codex
Vendoropenaiopenai
Quality Score100100
Benchmark Score89.673.4
Input Price$2.50/M$1.75/M
Output Price$15.00/M$14.00/M
Context Window1,050,000400,000
Max Output128,000128,000
Tool Calling✓✓
Structured Output✓✓
Reasoning Mode✓✓
Vision✓✓
Audio--
Benchmark Scores
ai_index84.873.0
ai_index_agentic67.8-
ai_index_coding100.0-
eqbench75.6-

The verdict

For a sample job of 1 million input tokens and 250,000 output tokens, GPT-5.3-Codex costs $5.25 and GPT-5.4 costs $6.25, so GPT-5.3-Codex is slightly 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-5.3-Codex.

On our blended benchmark score GPT-5.4 leads 89.6 to 73.4.

Across the 20 tasks where they differ, GPT-5.4 scores higher on 20 (SQL Generation, Code Review, Code Completion and others).

GPT-5.4 was released in March 2026 and GPT-5.3-Codex in February 2026.

Pick GPT-5.4 if you need long documents, benchmark performance or the stronger all-round task scores; pick GPT-5.3-Codex if you need lower cost.

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-5.4OpenAI: GPT-5.3-Codex
SQL Generation 174 141
Code Review 175 145
Code Completion 120 118
Code Refactoring 173 147
Bug Fixing 187 149
Unit Test Generation 158 132
Code Documentation 146 135
Regex Writing 136 124
CI/CD Pipelines 149 128
Frontend Component Design 148 130
Data Analysis 173 134
CSV / Spreadsheet Cleanup 157 135
ETL Scripting 161 138
JSON Extraction 137 120
Bulk Data Labeling 122 117
OCR / Document Parsing 148 134
Table Extraction from PDFs 148 134
Long-Document Summarization 167 148
Short-Form Summarization 122 116
Blog Post Writing 143 129

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

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