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OpenAI · Text model · GA
OpenAI: version of GPT-5.5 that produces smarter and more precise responses developers.openai.com (opens in a new tab)
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Figures checked 1 Nov 2026. A dash means not published on the sources we checked, so it stays blank rather than estimated.
OpenAI names these settings reasoning.effort. Price per token is the same at every level. Higher effort uses more reasoning tokens, billed as output. developers.openai.com (opens in a new tab)
| Level | When to use it, per OpenAI | AA index | Tokens/s |
|---|---|---|---|
| medium | When quality and reliability matter. The default for most workloads and a balanced point for latency, performance and cost developers.openai.com (opens in a new tab) | – | – |
| high default | Hard reasoning, complex debugging, deep planning and high-value tasks where quality matters more than latency developers.openai.com (opens in a new tab) | – | – |
| xhigh | Deep research, asynchronous and long agentic runs. Only when your evals show a clear benefit for the extra latency and cost developers.openai.com (opens in a new tab) | – | – |
Our rule of thumb: Simple or speed-critical work: low. Standard work: the lab's default. Complex work: high. Use xhigh or max only when your own tests show a gain, as OpenAI and Anthropic both advise. developers.openai.com (opens in a new tab)platform.claude.com (opens in a new tab)
US$ per 1M tokens, standard tier, short prompts. Output left blank where not published.
| Model | Input US$/1M | Output US$/1M |
|---|---|---|
| GPT-5.5 Pro | 30 | 180 |
| GPT-5.4 Pro | 30 | 180 |
| Lab | OpenAI |
|---|---|
| Type | Text |
| Status | GA developers.openai.com (opens in a new tab) |
| Released | – |
| API access | Yes developers.openai.com (opens in a new tab) |
| API model ID | gpt-5.5-pro developers.openai.com (opens in a new tab) |
| API rate limits | – |
| Consumer app plans | – |
| Price at each level | Same per-token price at every level. developers.openai.com (opens in a new tab) |
| Input per 1M tokens | US$30 developers.openai.com (opens in a new tab)Up to 272K input. US$60 in, US$270 out above |
| Output per 1M tokens | US$180 developers.openai.com (opens in a new tab)Up to 272K input. US$60 in, US$270 out above |
| Cached input | – |
| Batch in / out | US$15 / US$90 developers.openai.com (opens in a new tab) |
| Other pricing | – |
| Context window | 1.05M tokens developers.openai.com (opens in a new tab) |
| Max output | 128K tokens developers.openai.com (opens in a new tab) |
| Input types | text, image developers.openai.com (opens in a new tab) |
| Output types | text |
| Weights | Closed developers.openai.com (opens in a new tab) |
| Reasoning | Yes developers.openai.com (opens in a new tab) |
| Tool use | Yes developers.openai.com (opens in a new tab) |
| Artificial Analysis index | – |
| Output speed | – |
| Time to first token | – |
| Reasoning levels | medium, high (default), xhigh developers.openai.com (opens in a new tab) |
| Lab benchmark claims | – |
| Limitations |
|
OpenAI: Remote MCP servers as a tool in the Responses API developers.openai.com (opens in a new tab). These official remote MCP servers fit that rule. We have not tested each server with this model. A server that publishes a client list is left out when this lab is not on it.
Same type, closest on quality index and blended price. A similarity, not a ranking.
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Source: CNBC (opens in a new tab)
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Source: OpenAI (opens in a new tab)
