OpenAI models: which of the 30 GPT and Codex options fits
| # | AI model | Capabilities | API $/1M (in / out) | Context window | Price / mo | Output $/1M | Overview | Visit site |
|---|---|---|---|---|---|---|---|---|
| 21 | gpt-oss-safeguard-20b OpenAI | $0.075 / $0.3 | 131.1K tokens | API only | 0.3 | View | ||
| 22 | GPT-5.2-Codex OpenAI | $1.75 / $14 | 400K tokens | API only | 14 | View | ||
| 23 | GPT-5.1-Codex-Mini OpenAI | $0.25 / $2 | 400K tokens | API only | 2 | View | ||
| 24 | GPT-5.4 Image 2 OpenAI | $8 / $15 | 272K tokens | API only | 15 | View | ||
| 25 | GPT-5.1-Codex OpenAI | $1.25 / $10 | 400K tokens | API only | 10 | View | ||
| 26 | GPT-5.5 Pro OpenAI | $30 / $180 | 1.05M tokens | API only | 180 | View | ||
| 27 | GPT-5.1-Codex-Max OpenAI | $1.25 / $10 | 400K tokens | API only | 10 | View | ||
| 28 | GPT Audio Mini OpenAI | $0.6 / $2.4 | 128K tokens | API only | 2.4 | View | ||
| 29 | GPT-5 Image Mini OpenAI | $2.5 / $2 | 400K tokens | API only | 2 | View | ||
| 30 | GPT-5.4 Pro OpenAI | $30 / $180 | 1.05M tokens | API only | 180 | View |
Browse by need
OpenAI fields the broadest capability spread in this rating: text and reasoning across the GPT-6 and GPT-5.6 generations, a dedicated Codex model, realtime speech, image generation and the open-weight gpt-oss line. GPT-6 Astra sits at the top at $10 input and $50 output per 1M tokens.
The 5.6 family is where most production traffic belongs. Sol, Terra and Luna split the mid tier by price and speed, all on a 1.05M context window, so you can move between them without re-engineering prompts. Fast mode doubles the rate for lower latency; batch halves it for work that can wait.
Models from this vendor
30 OpenAI models in this rating. Prices are input and output per 1M tokens from the vendor official price list; for dirhams multiply by 3.6725. Tap a card to open the model page.
How to choose
- Split the mid tier deliberately: Luna for routing, Terra for general work, Sol when quality matters.
- Use Fast mode only on user-facing paths; it doubles the rate for latency alone.
- Check the long-context threshold — above 272K tokens input doubles and output rises by half.
- Pin snapshot versions rather than floating aliases if behaviour stability matters.
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