DeepSeek-R1-0528 sekarang tersedia di SiliconFlow:
Peningkatan throughput, pengurangan halusinasi, dan peningkatan penalaran — dibangun untuk tugas AI generatif berkinerja tinggi dan keandalan tinggi.
Dukungan konkurensi tinggi: Hingga 30K RPM / 5M TPM
Output lebih cerdas: 50% lebih sedikit halusinasi, penalaran lebih baik
Generasi lebih kuat: Penulisan kreatif, kode, matematika – semua ditingkatkan
Harga kompetitif: $0.58/M tokens (input), $2.29/M tokens (output)
Mulai Cepat
Coba DeepSeek-R1-0528 di SiliconFlow playground.
Akses Cepat ke API
Contoh Python berikut menunjukkan cara memanggil model DeepSeek-R1-0528 melalui endpoint API SiliconFlow. Untuk spesifikasi API lengkap, lihat dokumentasi pengembang.
import requests
url = "https://api.siliconflow.com/v1/chat/completions"
payload = {
"model": "Pro/deepseek-ai/DeepSeek-R1-0528",
"messages": [
{
"role": "user",
"content": "What opportunities and challenges will the Chinese large model industry face in 2025?"
}
],
"stream": False,
"max_tokens": 512,
"enable_thinking": False,
"thinking_budget": 4096,
"min_p": 0.05,
"stop": None,
"temperature": 0.7,
"top_p": 0.7,
"top_k": 50,
"frequency_penalty": 0.5,
"n": 1,
"response_format": {"type": "text"}
}
headers = {
"Authorization": "Bearer YOUR_SILICONFLOW_API_KEY",
"Content-Type": "application/json"
}
response = requests.post(url, json=payload, headers=headers)
print(response.text)import requests
url = "https://api.siliconflow.com/v1/chat/completions"
payload = {
"model": "Pro/deepseek-ai/DeepSeek-R1-0528",
"messages": [
{
"role": "user",
"content": "What opportunities and challenges will the Chinese large model industry face in 2025?"
}
],
"stream": False,
"max_tokens": 512,
"enable_thinking": False,
"thinking_budget": 4096,
"min_p": 0.05,
"stop": None,
"temperature": 0.7,
"top_p": 0.7,
"top_k": 50,
"frequency_penalty": 0.5,
"n": 1,
"response_format": {"type": "text"}
}
headers = {
"Authorization": "Bearer YOUR_SILICONFLOW_API_KEY",
"Content-Type": "application/json"
}
response = requests.post(url, json=payload, headers=headers)
print(response.text)import requests
url = "https://api.siliconflow.com/v1/chat/completions"
payload = {
"model": "Pro/deepseek-ai/DeepSeek-R1-0528",
"messages": [
{
"role": "user",
"content": "What opportunities and challenges will the Chinese large model industry face in 2025?"
}
],
"stream": False,
"max_tokens": 512,
"enable_thinking": False,
"thinking_budget": 4096,
"min_p": 0.05,
"stop": None,
"temperature": 0.7,
"top_p": 0.7,
"top_k": 50,
"frequency_penalty": 0.5,
"n": 1,
"response_format": {"type": "text"}
}
headers = {
"Authorization": "Bearer YOUR_SILICONFLOW_API_KEY",
"Content-Type": "application/json"
}
response = requests.post(url, json=payload, headers=headers)
print(response.text)DeepSeek-R1-0528 meningkatkan kecepatan, akurasi, dan skalabilitas untuk aplikasi AI generatif. Jelajahi, bandingkan, dan gabungkan model di SiliconFlow untuk menyesuaikan dengan kasus penggunaan Anda.
Sekarang bangun sesuatu yang menakjubkan di SiliconFlow!