# OpenAI: gpt-5.5-pro

- Model ID: `gpt-5.5-pro`
- Provider: OpenAI
- Web version: https://www.moleapi.com/en/models/openai/gpt-5.5-pro
- Content status: verified

## Model introduction

GPT-5.5 Pro is the high-accuracy GPT-5.5 configuration. It uses parallel test-time compute for harder questions, research, professional knowledge work, and more complete answers.

## Model capabilities

- OpenAI compatible
- Responses API
- Reasoning

### Verified specifications

- Official positioning: Harder questions and higher-accuracy work
- Context window: 1,000,000 tokens
- Verified input: Text, image
- Compute profile: Parallel test-time compute

## Model pricing and access

Pricing is supplied dynamically by the MoleAPI console API.

### Standard (default, x1)

- Input: $75 / 1M tokens
- Output: $450 / 1M tokens

### Access protocols

| Protocol | Method | Endpoint |
| --- | --- | --- |
| openai | POST | /v1/chat/completions |
| openai-response | POST | /v1/responses |

- Live pricing source: https://home.moleapi.com/api/pricing

## About gpt-5.5-pro

GPT-5.5 Pro is the high-accuracy GPT-5.5 configuration. It uses parallel test-time compute for harder questions, research, professional knowledge work, and more complete answers.

### Best for

Difficult research, professional analysis, document and data work, and multi-pass tasks where answer quality matters more than response speed.

### Core strengths

- Designed for harder questions and higher-accuracy work that benefits from sustained execution.
- The underlying model covers coding, research, data analysis, documents, and tool use.
- A 1M context window fits large evidence packs and cross-file workflows.

### Limitations

- The Pro configuration spends more test-time compute for quality, so cost and wait time are usually higher.
- Artificial Analysis has not published a comparable composite score for this exact Pro profile, so no inferred ranking is shown.

### Selection and production evaluation

Start a gpt-5.5-pro evaluation by mapping its official positioning to real work: Difficult research, professional analysis, document and data work, and multi-pass tasks where answer quality matters more than response speed. The first pass should exercise both its main strength, "Designed for harder questions and higher-accuracy work that benefits from sustained execution.", and its known limitation, "The Pro configuration spends more test-time compute for quality, so cost and wait time are usually higher.", instead of relying on a single subjective general-chat comparison.

For access, MoleAPI currently lists openai, openai-response protocols and the Standard billing groups for this OpenAI model; the default price summary is Input $75 / 1M tokens · Output $450 / 1M tokens. Pricing, protocols, and groups come from the live catalog, so production planning should still price representative requests using real context length, output size, and cache-hit assumptions.

No independent ranking is shown unless it matches this exact model ID and reasoning profile, so nearby variants are not used as a proxy. Before launch, pin the model ID, prompt, and sample set, then compare task accuracy, structured-output validity, tool-call success, and timeout rates under the same conditions.

The model material on this page was last checked on 2026-07-23. When upstream model cards, context limits, or tool support change, update the cited bilingual facts before changing the recommendation; live MoleAPI price changes remain separate and update from the catalog automatically.

### Sources

- [OpenAI GPT-5.5 launch notes](https://openai.com/index/introducing-gpt-5-5/) — OpenAI
- Last verified: 2026-07-23

## Code examples

### cURL

```bash
curl https://api.moleapi.com/v1/responses \
  -H "Authorization: Bearer $MOLEAPI_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"gpt-5.5-pro","input":"Explain this problem step by step."}'
```

### Python

```python
from openai import OpenAI

client = OpenAI(base_url="https://api.moleapi.com/v1", api_key="YOUR_MOLEAPI_API_KEY")
response = client.responses.create(model="gpt-5.5-pro", input="Explain this problem step by step.")
print(response.output_text)
```

### TypeScript

```typescript
import OpenAI from "openai";

const client = new OpenAI({ baseURL: "https://api.moleapi.com/v1", apiKey: process.env.MOLEAPI_API_KEY });
const response = await client.responses.create({ model: "gpt-5.5-pro", input: "Explain this problem step by step." });
console.log(response.output_text);
```

## More related models

- [gpt-5.6-luna](https://www.moleapi.com/en/models/openai/gpt-5.6-luna) — OpenAI
- [gpt-5.6-sol](https://www.moleapi.com/en/models/openai/gpt-5.6-sol) — OpenAI
- [gpt-5.6-terra](https://www.moleapi.com/en/models/openai/gpt-5.6-terra) — OpenAI

## Frequently asked questions

### How is gpt-5.5-pro priced?

Prices are read from the MoleAPI console API and update with model prices, context tiers, and account groups.

### How can I access gpt-5.5-pro?

The catalog currently lists openai, openai-response.

### How do I switch an existing project to gpt-5.5-pro?

Keep the MoleAPI API address and key, replace the model parameter, and check protocol-specific parameters.

### Where do the gpt-5.5-pro details come from?

Capabilities and limitations are checked against OpenAI and the other cited pages; pricing and protocols come from the MoleAPI console.