---
title: GPT-5 Chat — Advanced LLM | ModelsLab
description: Access OpenAI GPT-5 Chat model via API for superior reasoning, multimodal inputs, and low-hallucination responses. Generate smarter outputs now.
url: https://modelslab-frontend-v2-927501783998.us-east4.run.app/openai-gpt-5-chat
canonical: https://modelslab-frontend-v2-927501783998.us-east4.run.app/openai-gpt-5-chat
type: website
component: Seo/ModelPage
generated_at: 2026-05-13T09:42:50.154576Z
---

Available now on ModelsLab · Language Model

OpenAI: GPT-5 Chat
Reason Deeper. Respond Smarter
---

[Try OpenAI: GPT-5 Chat](/models/open_router/openai-gpt-5-chat) [API Documentation](https://docs.modelslab.com)

Unlock GPT-5 Capabilities
---

Multimodal Input

### Process Text Images

Handles text and images for chart analysis or diagram questions via OpenAI: GPT-5 Chat API.

Thinking Modes

### Instant to Pro Reasoning

Switches between fast GPT-5.3 Instant and deep GPT-5.4 Pro for complex tasks in openai gpt 5 chat.

Low Hallucination

### Factual Outputs Always

Reduces errors by 45-80% compared to prior models in OpenAI: GPT-5 Chat model.

Examples

See what OpenAI: GPT-5 Chat can create
---

Copy any prompt below and try it yourself in the [playground](/models/open_router/openai-gpt-5-chat).

Code Generator

“Write a Python function to analyze sales data from this CSV image, compute trends, and output a summary report with visualizations using matplotlib.”

Diagram Explainer

“Describe the architecture in this network diagram image, identify bottlenecks, and suggest optimizations for scalability.”

Math Solver

“Solve this multivariable calculus problem step-by-step: find the volume of the solid bounded by the surfaces z = x^2 + y^2 and z = 8 - x^2 - y^2.”

Report Drafter

“Draft a professional business report outline from this quarterly earnings chart image, including key metrics, trends, and recommendations.”

For Developers

A few lines of code.
Chat Completions. One Call
---

ModelsLab handles the infrastructure: fast inference, auto-scaling, and a developer-friendly API. No GPU management needed.

- **Serverless:** scales to zero, scales to millions
- **Pay per token,** no minimums
- **Python and JavaScript SDKs,** plus REST API

[API Documentation ](https://docs.modelslab.com)

PythonJavaScriptcURL

Copy

```
<code>import requests

response = requests.post(
    "https://modelslab.com/api/v7/llm/chat/completions",
    json={
  "key": "YOUR_API_KEY",
  "prompt": "",
  "model_id": ""
}
)
print(response.json())</code>
```

FAQ

Common questions about OpenAI: GPT-5 Chat
---

[Read the docs ](https://docs.modelslab.com)

### What is OpenAI: GPT-5 Chat?

OpenAI: GPT-5 Chat is the latest multimodal LLM powering ChatGPT with text and image inputs. It offers thinking modes for varied tasks. Access via OpenAI: GPT-5 Chat API.

### How does openai gpt 5 chat API work?

Use the /v1/chat/completions endpoint with text or image inputs. Supports streaming and function calling. Pricing starts at $0.25 input per million tokens.

### What are openai: gpt-5 chat thinking modes?

Instant for quick replies, Thinking for complex reasoning, Pro for research precision. Automatically selects based on query in openai: gpt-5 chat api.

### Is OpenAI: GPT-5 Chat model multimodal?

Supports text and image inputs, excels in visual reasoning like charts. Audio and video not supported in API.

### Why choose OpenAI: GPT-5 Chat alternative?

Matches GPT-5 performance via ModelsLab API with easier access and tiers. Lower hallucination suits production use.

### What are rate limits for openai gpt 5 chat api?

Tier 1: 500 RPM, 30k TPM. Higher tiers up to 15k RPM, 40M TPM. Free tier unsupported.

Ready to create?
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Start generating with OpenAI: GPT-5 Chat on ModelsLab.

[Try OpenAI: GPT-5 Chat](/models/open_router/openai-gpt-5-chat) [API Documentation](https://docs.modelslab.com)

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*This markdown version is optimized for AI agents and LLMs.*

**Links:**
- [Website](https://modelslab.com)
- [API Documentation](https://docs.modelslab.com)
- [Blog](https://modelslab.com/blog)

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*Generated by ModelsLab - 2026-05-13*