Command R7B (12-2024) vs GPT-5.1-Codex-Max (Comparative Analysis)
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Comparative Analysis: Command R7B (12-2024) vs. GPT-5.1-Codex-Max
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Overview
Command R7B (12-2024) was released 11 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 | 128K tokens | 400K tokens |
Output Token Limit Maximum output tokens this model can generate at once | 4K tokens | 128K tokens |
Release Date When this model first became publicly available | December 14, 2024 1 year ago December 14th, 2024 | December 4, 2025 8 months ago December 4th, 2025 |
Knowledge Cutoff Latest training-data date reported by the provider | August 31, 2024 | Not reported |
Capabilities & Features
Compare supported features, modalities, and advanced capabilities
Command R7B (12-2024) | GPT-5.1-Codex-Max | |
|---|---|---|
Input Types Supported input formats | 📝Text | 📝Text🖼️Image |
Reasoning Controls Defaults and configurable reasoning effort | Not reported | Always enabledEffort: Extra High, High, Medium, LowDefault: Medium |
Output Types Supported output formats | 📝Text | 📝Text |
Tokenizer Text encoding system | Cohere | GPT |
Key Features Advanced capabilities | Function Calling✓Structured OutputReasoning Mode✓Content Moderation | ✓Function Calling✓Structured Output✓Reasoning ModeContent Moderation |
Pricing
Command R7B (12-2024) is roughly 0.03x less expensive compared to GPT-5.1-Codex-Max for input tokens and roughly 0.01x less expensive for output tokens.
Input Token Cost Cost per million input tokens | $0.04 per million tokens | $1.25 per million tokens |
Output Token Cost Cost per million output tokens | $0.15 per million tokens | $10.00 per million tokens |
Web Search Cost Additional cost for each web search operation | Not specified | $0.01 per search |
Cache Read Cost Cost to reuse cached input tokens | Not specified | $0.13 per million tokens |
At a Glance
Quick overview of what makes Command R7B (12-2024) and GPT-5.1-Codex-Max unique.
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