GPT-5.1-Codex-Mini vs o3 Mini High (Comparative Analysis)
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Comparative Analysis: GPT-5.1-Codex-Mini vs. o3 Mini High
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Overview
o3 Mini High was released 9 months before GPT-5.1-Codex-Mini.
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 | November 13, 2025 8 months ago November 13th, 2025 | February 12, 2025 1 year ago February 12th, 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-Mini | o3 Mini High | |
|---|---|---|
Input Types Supported input formats | 🖼️Image📝Text | 📝Text📁File |
Reasoning Controls Defaults and configurable reasoning effort | OptionalEffort: High, Medium, LowDefault: Medium | Always enabledEffort: HighDefault: High |
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-Mini is roughly 0.2x less expensive compared to o3 Mini High for input tokens and roughly 0.5x less expensive for output tokens.
Input Token Cost Cost per million input tokens | $0.25 per million tokens | $1.10 per million tokens |
Output Token Cost Cost per million output tokens | $2.00 per million tokens | $4.40 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 | $0.03 per million tokens | $0.55 per million tokens |
Benchmarks
Compare relevant benchmarks between GPT-5.1-Codex-Mini and o3 Mini High.
Intelligence Index Overall model quality across independent evaluations | Benchmark not available. | 15.6 (Artificial Analysis index; higher is better) |
Coding Index Programming performance across independent evaluations | Benchmark not available. | 16.3 (Artificial Analysis index; higher is better) |
Agentic Index Ability to complete multi-step agentic tasks | Benchmark not available. | 1.7 (Artificial Analysis index; higher is better) |
Best Design Arena Score Highest human-preference Elo score across design arenas | 1,149 Elo (#69 in Game Dev (43.4% win rate)) | Benchmark not available. |
At a Glance
Quick overview of what makes GPT-5.1-Codex-Mini and o3 Mini High unique.
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