head-to-head

Google: Gemma 4 31B vs OpenAI: GPT-5.3-Codex

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

Google: Gemma 4 31B OpenAI: GPT-5.3-Codex
Vendorgoogleopenai
Quality Score100100
Benchmark Score53.773.4
Input Price$0.20/M$1.75/M
Output Price$0.40/M$14.00/M
Context Window262,144400,000
Max Output16,384128,000
Tool Calling✓✓
Structured Output✓✓
Reasoning Mode✓✓
Vision✓✓
Audio--
Benchmark Scores
ai_index48.473.0
ai_index_agentic23.8-
ai_index_coding71.7-
eqbench57.5-

The verdict

For a sample job of 1 million input tokens and 250,000 output tokens, Gemma 4 31B costs $0.30 and GPT-5.3-Codex costs $5.25, so Gemma 4 31B is about 17.5 times cheaper for the same work.

GPT-5.3-Codex reads up to 400,000 tokens at once, roughly 600 pages of text, against about 393 pages for Gemma 4 31B.

Only Gemma 4 31B offers video input.

On our blended benchmark score GPT-5.3-Codex leads 73.4 to 53.7.

Across the 20 tasks where they differ, Gemma 4 31B scores higher on 20 (SQL Generation, Code Review, Code Completion and others).

Gemma 4 31B was released in April 2026 and GPT-5.3-Codex in February 2026.

Pick Gemma 4 31B if you need lower cost, video input or the stronger all-round task scores; pick GPT-5.3-Codex if you need long documents or 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 31BOpenAI: GPT-5.3-Codex
SQL Generation 156 141
Code Review 152 145
Code Completion 131 118
Code Refactoring 151 147
Bug Fixing 160 149
Unit Test Generation 143 132
Code Documentation 137 135
Regex Writing 131 124
CI/CD Pipelines 135 128
Frontend Component Design 138 130
Data Analysis 152 134
CSV / Spreadsheet Cleanup 145 135
ETL Scripting 143 138
JSON Extraction 143 120
Bulk Data Labeling 133 117
OCR / Document Parsing 140 134
Table Extraction from PDFs 140 134
Long-Document Summarization 149 148
Short-Form Summarization 129 116
Blog Post Writing 133 129

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

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