OpenAI: GPT-5.3-Codex Rank
GPT-5.3-Codex has an overall score of 62 out of 100, tied for rank 185 of 291. The published scores are price 40, context 59, and recency 88. The overall score is their average. parameters and freshness are not published and are left out of the average.
Data sourced from OpenRouter API and manual data collection | Last updated: Nov 3, 2026, 8:01 AM UTC
Component scores are ranked in
tied for rank 185 of 291
Component scores
| Score | Result | Published value | Source |
|---|---|---|---|
| Freshness | — | — | AI Knowledge Cutoff |
| Recency | 88 | AI Release Date | |
| Context | 59 | 400K tokens, output 128K | AI Context Window |
| Parameters | — | — | AI Parameter Count |
| Price | 40 | $4.81 / 1M blended, $1.75 / 1M input, $14 / 1M output | AI Token Price |
184 listed models have a higher overall score. Among OpenAI models, it ranks 27 of 49.
GPT-5.3-Codex is OpenAI’s most advanced agentic coding model, combining the frontier software engineering performance of GPT-5.2-Codex with the broader reasoning and professional knowledge capabilities of GPT-5.2. It achieves state-of-the-art results...
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Frequently asked questions
What is the GPT-5.3-Codex rank?
GPT-5.3-Codex has an overall score of 62 out of 100, tied for rank 185 of 291. The published scores are price 40, context 59, and recency 88. The overall score is their average. parameters and freshness are not published and are left out of the average.
Where does GPT-5.3-Codex rank?
GPT-5.3-Codex is tied for rank 185 of 291. 184 listed models have a higher overall score. Among OpenAI models, it ranks 27 of 49.
What scores make up GPT-5.3-Codex?
GPT-5.3-Codex scores price 40 (AI Token Price), context 59 (AI Context Window), and recency 88 (AI Release Date). The overall score of 62 is the average of those 3.