# OpenAI: gpt-5.5-2026-04-23

- Model ID: `gpt-5.5-2026-04-23`
- Provider: OpenAI
- Web version: https://www.moleapi.com/en/models/openai/gpt-5.5
- Content status: alias

## Model introduction

GPT-5.5 is OpenAI's general flagship for reasoning, coding, and professional knowledge work, with a 1M context window, multimodal input, and tool workflows.

## Model capabilities

- OpenAI compatible
- Responses API
- Prompt cache
- Reasoning

### Verified specifications

- Official positioning: General flagship for reasoning and professional work
- Context window: 1,000,000 tokens
- Input modalities: Text, image, audio, video
- Verified capabilities: Reasoning, coding, tools, multimodal understanding

## Model pricing and access

Pricing is supplied dynamically by the MoleAPI console API.

### Standard (default, x1)

| Tier | Condition | Input | Output | Cache read | Cache write |
| --- | --- | ---: | ---: | ---: | ---: |
| standard | Length ≤ 272K | $5 | $30 | $0.5 | $6.25 |
| long_context | - | $10 | $45 | $1 | $6.25 |

### 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-5.5-2026-04-23

GPT-5.5 is OpenAI's general flagship for reasoning, coding, and professional knowledge work, with a 1M context window, multimodal input, and tool workflows.

### Best for

Complex coding, research, long-document analysis, data work, and professional tasks that use multimodal context.

### Core strengths

- A 1M context window supports long tasks spanning many files and documents.
- Covers coding, research, data analysis, and tool use.
- Can work with text, image, audio, and video information.

### Limitations

- Costs and wait times exceed lightweight models, favoring valuable work.
- GPT-5.6 supersedes it as the latest family, so new projects should also evaluate Terra or Sol.

### Selection and production evaluation

Start a gpt-5.5-2026-04-23 evaluation by mapping its official positioning to real work: Complex coding, research, long-document analysis, data work, and professional tasks that use multimodal context. The first pass should exercise both its main strength, "A 1M context window supports long tasks spanning many files and documents.", and its known limitation, "Costs and wait times exceed lightweight models, favoring valuable work.", 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 $5 / 1M tokens · Output $30 / 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 2026-07-24. 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

- [B.AI GPT-5.5 model guide](https://docs.b.ai/llmservice/models/gpt-5-5/) — B.AI
- [OpenAI GPT-5.5 announcement](https://openai.com/index/introducing-gpt-5-5/) — OpenAI
- Last verified: 2026-07-24

## 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-5.5-2026-04-23","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-5.5-2026-04-23", 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-5.5-2026-04-23", 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-5.5-2026-04-23 priced?

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

### How can I access gpt-5.5-2026-04-23?

The catalog currently lists openai, openai-response.

### How do I switch an existing project to gpt-5.5-2026-04-23?

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

### Where do the gpt-5.5-2026-04-23 details come from?

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