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OpenAI · Text model · GA
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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 |
|---|---|---|---|
| low | Efficient reasoning with a modest latency increase. Data analysis, drafting, execution-oriented coding and support chat developers.openai.com (opens in a new tab) | – | – |
| 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 | Hard reasoning, complex debugging, deep planning and high-value tasks where quality matters more than latency 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)
| Lab | OpenAI |
|---|---|
| Type | Text |
| Status | GA developers.openai.com (opens in a new tab) |
| Released | 5 Aug 2025 models.dev (opens in a new tab) |
| API access | Open weights only developers.openai.com (opens in a new tab) |
| API model ID | gpt-oss-120b 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 | – |
| Output per 1M tokens | – |
| Cached input | – |
| Batch in / out | – |
| Other pricing | No OpenAI API price. Download the weights or use a third-party host |
| Context window | 131K tokens developers.openai.com (opens in a new tab) |
| Max output | 131K tokens developers.openai.com (opens in a new tab) |
| Input types | text developers.openai.com (opens in a new tab) |
| Output types | text |
| Weights | Open developers.openai.com (opens in a new tab)Apache 2.0 |
| 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 | 206 tokens/s artificialanalysis.ai (opens in a new tab) |
| Time to first token | 0.81 s artificialanalysis.ai (opens in a new tab) |
| Reasoning levels | low, medium, high 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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OpenAI 
CNBC confirmed OpenAI is now seeking up to US$20bn, down from about US$30bn, and the FT put the post-money valuation at US$1.25tn. The round is still open. Less fresh equity means more scrutiny of every gigawatt OpenAI has signed for.
Source: CNBC (opens in a new tab)
OpenAI
OpenAI says Terra matches GPT-6 Astra on Agents' Last Exam at a tenth of the price per token and finishes tasks over 3x faster.
Source: OpenAI (opens in a new tab)
