---
title: Baidu: Qianfan OCR Fast (free) | Text Generation | ModelsLab
description: Build with Baidu: Qianfan OCR Fast (free) API by Baidu. Text generation, chat, code, and reasoning. Pay-per-use. Free tier.
url: https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/baidu/baidu-qianfan-ocr-fast-free/api.md
canonical: https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/baidu/baidu-qianfan-ocr-fast-free/api.md
type: product
component: Playground/LLM/Index
generated_at: 2026-05-13T09:45:13.298930Z
---

Baidu: Qianfan-OCR-Fast (free)
---

 [LLMs.txt](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/baidu-qianfan-ocr-fast-free/llms.txt) [.md](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/baidu/baidu-qianfan-ocr-fast-free.md)

baidu-qianfan-ocr-fast-free baidu Closed Source Model

Baidu: Qianfan-OCR-Fast (free)
---

Choose a prompt below to get started or type your own message

 Explain quantum computing in simple terms

 Write a Python function to sort a list

 Create a marketing email for a SaaS product

 Compare REST vs GraphQL APIs

Send

### Baidu: Qianfan-OCR-Fast (free)

baidu baidu-qianfan-ocr-fast-free

Copy model ID

PricingInput $0.00 / 1M tokens

Output $0.00 / 1M tokens

API EndpointsOpenAI Compatible

`https://modelslab.com/api/v7/llm/chat/completions`Endpoint

Anthropic Compatible

`https://modelslab.com/api/v7/llm/v1/messages`Messages

`https://modelslab.com/api/v7/llm/v1/messages/count_tokens`Count Tokens

`https://modelslab.com/api/v7/llm/v1/models`Models

Use with Claude Code

cURL Example

ParametersSystem MessageYou are a helpful AI assistant specialized in providing accurate and detailed responses.

Temperature0.7

Max Tokens1000

Top P0.9

Frequency Penalty0

Presence Penalty0

Model Info

Support

Related Models
---

Discover similar models you might be interested in

 [View all LLM Models](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models?feature=llmaster)

[QQ](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/qwen-qwen3.6-27b)[Open Router](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router)

 [Qwen: Qwen3.6 27B

Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/qwen-qwen3.6-27b)

[BS](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/bytedance-seed-seed-2.0-lite)[Open Router](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router)

 [ByteDance Seed: Seed-2.0-Lite

Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/bytedance-seed-seed-2.0-lite)

[G3](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai/google-gemma-3-27b-pt)[Together AI](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai)

 [Gemma 3 27B Pt

Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai/google-gemma-3-27b-pt)

[NA](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/nex-agi-deepseek-v3.1-nex-n1)[Open Router](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router)

 [Nex AGI: DeepSeek V3.1 Nex N1

Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/nex-agi-deepseek-v3.1-nex-n1)

[MM](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/mistralai-mistral-small-24b-instruct-2501)[Open Router](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router)

 [Mistral: Mistral Small 3

Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/mistralai-mistral-small-24b-instruct-2501)

[OG](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/openai-gpt-4.1-mini)[Open Router](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router)

 [OpenAI: GPT-4.1 Mini

Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/openai-gpt-4.1-mini)

[M3](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai/mistralai-Ministral-3-14B-Instruct-2512)[Together AI](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai)

 [Ministral 3 14B Instruct 2512

Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai/mistralai-Ministral-3-14B-Instruct-2512)

[G5](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai/zai-org-GLM-5)[Together AI](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai)

 [GLM 5 Fp4

Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai/zai-org-GLM-5)

[MM](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/mistralai-mixtral-8x22b-instruct)[Open Router](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router)

 [Mistral: Mixtral 8x22B Instruct

Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/mistralai-mixtral-8x22b-instruct)

[DD](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/deepseek-deepseek-v3.1-terminus)[Open Router](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router)

 [DeepSeek: DeepSeek V3.1 Terminus

Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/deepseek-deepseek-v3.1-terminus)

[OG](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/openai-gpt-4o-2024-08-06)[Open Router](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router)

 [OpenAI: GPT-4o (2024-08-06)

Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/openai-gpt-4o-2024-08-06)

[IL](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/inclusionai-ling-2.6-flash)[Open Router](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router)

 [inclusionAI: Ling-2.6-flash

Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/inclusionai-ling-2.6-flash)

[OG](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/openai-gpt-4o-mini-2024-07-18)[Open Router](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router)

 [OpenAI: GPT-4o-mini (2024-07-18)

Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/openai-gpt-4o-mini-2024-07-18)

[OG](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/openai-gpt-5.1-codex-max)[Open Router](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router)

 [OpenAI: GPT-5.1-Codex-Max

Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/openai-gpt-5.1-codex-max)

[Q4](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai/Qwen-Qwen3-4B-Instruct-2507)[Together AI](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai)

 [Qwen3 4B Instruct 2507

Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai/Qwen-Qwen3-4B-Instruct-2507)

[QQ](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/qwen-qwen3-coder-plus)[Open Router](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router)

 [Qwen: Qwen3 Coder Plus

Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/qwen-qwen3-coder-plus)

[MM](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/mistralai-ministral-14b-2512)[Open Router](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router)

 [Mistral: Ministral 3 14B 2512

Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/mistralai-ministral-14b-2512)

[ZG](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/z-ai-glm-4.5-air-free)[Open Router](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router)

 [Z.ai: GLM 4.5 Air (free)

Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/z-ai-glm-4.5-air-free)

About Baidu: Qianfan-OCR-Fast (Free)
---

Qianfan-OCR-Fast is a domain-specific multimodal large model purpose-built for OCR. By leveraging specialized OCR training data while preserving versatile multimodal intelligence, it provides a powerful performance upgrade over Qianfan-OCR.

### Technical Specifications

Model IDbaidu-qianfan-ocr-fast-freeCategoryLLM ModelsTaskText GenerationAddedApril 23, 2026

### Key Features

- Chat completion and multi-turn conversation API
- Streaming response with token-by-token output
- Function calling and tool use support
- System prompts and role-based messaging
- JSON mode and structured output

### Quick Start

Integrate Baidu: Qianfan-OCR-Fast (Free) into your application with a single API call. Get your API key from the [pricing page](https://modelslab-frontend-v2-927501783998.us-east4.run.app/pricing) to get started.

PythonJavaScriptcURLPHP

```
<code>import requests
import json

url = "https://modelslab.com/api/v7/llm/chat/completions"

headers = {
    "Content-Type": "application/json"
}

data = {
        "model_id": "baidu-qianfan-ocr-fast-free",
        "messages": [
            {
                "role": "user",
                "content": "Hello!"
            }
        ],
        "max_tokens": 1000,
        "key": "YOUR_API_KEY"
    }

try:
    response = requests.post(url, headers=headers, json=data)
    response.raise_for_status()  # Raises an HTTPError for bad responses (4XX or 5XX)
    result = response.json()
    print("API Response:")
    print(json.dumps(result, indent=2))
except requests.exceptions.HTTPError as http_err:
    print(f"HTTP error occurred: {http_err} - {response.text}")
except Exception as err:
    print(f"Other error occurred: {err}")</code>
```

View the [full API documentation](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/baidu/baidu-qianfan-ocr-fast-free/api) for SDKs, code examples in Python, JavaScript, and more.

### Use Cases

- AI chatbots and virtual assistants
- Code generation and developer tools
- Content writing and copywriting automation
- Data analysis, summarization, and extraction

[Browse LLM Models](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models?feature=llmaster) [More from Baidu](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router) [View Pricing](https://modelslab-frontend-v2-927501783998.us-east4.run.app/pricing)

Baidu: Qianfan-OCR-Fast (Free) FAQ
---

### What is Baidu: Qianfan-OCR-Fast (Free)?

Qianfan-OCR-Fast is a domain-specific multimodal large model purpose-built for OCR. By leveraging specialized OCR training data while preserving versatile multimodal intelligence, it provides a powerful performance upgrade over Qianfan-OCR.

### How do I use the Baidu: Qianfan-OCR-Fast (Free) API?

You can integrate Baidu: Qianfan-OCR-Fast (Free) into your application with a single API call. Sign up on ModelsLab to get your API key, then use the model ID "baidu-qianfan-ocr-fast-free" in your API requests. We provide SDKs for Python, JavaScript, and cURL examples in the API documentation.

### What is the Baidu: Qianfan-OCR-Fast (Free) model ID?

The model ID for Baidu: Qianfan-OCR-Fast (Free) is "baidu-qianfan-ocr-fast-free". Use this ID in your API requests to specify this model.

### Does Baidu: Qianfan-OCR-Fast (Free) have a free tier?

Yes, ModelsLab offers a free tier that lets you try Baidu: Qianfan-OCR-Fast (Free) and other AI models. Sign up to get free API credits and start building immediately.

---

*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)

---
*Generated by ModelsLab - 2026-05-13*