GPT-5.1-Codex-Max vs o1-pro (Comparative Analysis)
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Comparative Analysis: GPT-5.1-Codex-Max vs. o1-pro
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Overview
o1-pro was released 8 months before GPT-5.1-Codex-Max.
Model Provider The organization behind this AI's development | ||
Input Context Window Maximum input tokens this model can process at once | 400K tokens | 200K tokens |
Output Token Limit Maximum output tokens this model can generate at once | 128K tokens | 100K tokens |
Release Date When this model first became publicly available | December 4, 2025 7 months ago December 4th, 2025 | March 19, 2025 1 year ago March 19th, 2025 |
Knowledge Cutoff Latest training-data date reported by the provider | Not reported | October 31, 2023 |
Capabilities & Features
Compare supported features, modalities, and advanced capabilities
GPT-5.1-Codex-Max | o1-pro | |
|---|---|---|
Input Types Supported input formats | 📝Text🖼️Image | 📝Text🖼️Image📁File |
Reasoning Controls Defaults and configurable reasoning effort | Always enabledEffort: Extra High, High, Medium, LowDefault: Medium | Optional |
Output Types Supported output formats | 📝Text | 📝Text |
Tokenizer Text encoding system | GPT | GPT |
Key Features Advanced capabilities | ✓Function Calling✓Structured Output✓Reasoning ModeContent Moderation | Function Calling✓Structured Output✓Reasoning Mode✓Content Moderation |
Pricing
GPT-5.1-Codex-Max is significantly less expensive compared to o1-pro for input tokens and roughly 0.02x less expensive for output tokens.
Input Token Cost Cost per million input tokens | $1.25 per million tokens | $150.00 per million tokens |
Output Token Cost Cost per million output tokens | $10.00 per million tokens | $600.00 per million tokens |
Web Search Cost Additional cost for each web search operation | $0.01 per search | $0.01 per search |
Cache Read Cost Cost to reuse cached input tokens | $0.13 per million tokens | Not specified |
At a Glance
Quick overview of what makes GPT-5.1-Codex-Max and o1-pro unique.
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