OpenAI: GPT-5.1-Codex-Max Rank

GPT-5.1-Codex-Max has an overall score of 62 out of 100, tied for rank 185 of 291. The published scores are price 44, context 59, and recency 84. 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

Overall score
62
Rank
185

tied for rank 185 of 291

Component scores

ScoreResultPublished valueSource
Freshnessβ€”β€”AI Knowledge Cutoff
Recency84AI Release Date
Context59400K tokens, output 128KAI Context Window
Parametersβ€”β€”AI Parameter Count
Price44$3.44 / 1M blended, $1.25 / 1M input, $10 / 1M outputAI Token Price

184 listed models have a higher overall score. Among OpenAI models, it ranks 27 of 49.

GPT-5.1-Codex-Max is OpenAI’s latest agentic coding model, designed for long-running, high-context software development tasks. It is based on an updated version of the 5.1 reasoning stack and trained on agentic...

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Frequently asked questions

What is the GPT-5.1-Codex-Max rank?

GPT-5.1-Codex-Max has an overall score of 62 out of 100, tied for rank 185 of 291. The published scores are price 44, context 59, and recency 84. The overall score is their average. parameters and freshness are not published and are left out of the average.

Where does GPT-5.1-Codex-Max rank?

GPT-5.1-Codex-Max 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-5.1-Codex-Max?

GPT-5.1-Codex-Max scores price 44 (AI Token Price), context 59 (AI Context Window), and recency 84 (AI Release Date). The overall score of 62 is the average of those 3.