Chat with Baidu: Qianfan-OCR-Fast
What is Baidu: Qianfan-OCR-Fast?
Baidu: Qianfan-OCR-Fast is an AI model by Baidu on Free.ai. It supports up to 65,536 tokens of context. Costs approximately 100 tokens per message. Try Baidu: Qianfan-OCR-Fast instantly — no sign up needed. Compare it side-by-side with other models.
Why use Baidu: Qianfan-OCR-Fast for chat?
Streaming responses
Replies stream token-by-token within ~1 second of pressing Send. No idle waiting.
Saved history
Signed-in users see every chat in /account/?tab=history with one-click share links.
Compare side by side
Send the same prompt to two models at /chat/compare/ and judge the outputs side by side.
Commercial use OK
Outputs are yours. Use them in apps, ads, docs, or anything else without attribution.
Sample prompts
Pricing
Premium chat. Cost is per message — typically ~100 tokens. $1 buys 750,000 tokens, so even paid models cost cents per chat. Free signups get 10,000 tokens to try.
Compare to alternatives
Full model reference → · See all chat models → · Compare 2 chat models side-by-side →
Advanced options
Результат
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Baidu: Qianfan-OCR-Fast is an AI model by Baidu on Free.ai. It supports up to 65,536 tokens of context. Costs approximately 100 tokens per message. Try Bai...
Как пользоваться Chat with Baidu: Qianfan-OCR-Fast
Введите свой вход
Введите текст, загрузите файл или опишите, что вам нужно.
Нажмите на генератор
Наша АИ обрабатывает ваш запрос в секунды с использованием лучших моделей с открытым исходным кодом.
Загрузить & долю
Загружайте, копируете или делитесь результатами. Бесплатно для личного и коммерческого использования.
Use this tool via API
Automate this tool from your own code. OpenAI-compatible REST endpoint, Bearer-token auth, no extra SDK required. Token costs match the web interface.
curl -X POST https://api.free.ai/v1/chat/ \
-H "Authorization: Bearer sk-free-..." \
-H "Content-Type: application/json" \
-d '{"model": "qwen7b", "messages": [{"role": "user", "content": "Hello"}]}'
Свободные инструменты АИ
Chat with Baidu: Qianfan-OCR-Fast — FAQ
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