DeepSeek R1 0528
DeepSeek R1 0528 is a reasoning-focused checkpoint of DeepSeek's R1 line, trained with reinforcement learning to produce long chain-of-thought traces before answering. It is competitive with frontier reasoning models on math, coding, and logic benchmarks, and is open-weight. Use it for problems where step-by-step deliberation improves accuracy: math proofs, complex debugging, scientific Q&A, and structured planning.
Pricing
Input
$0.700 / 1M
Output
$2.50 / 1M
Pay only for what you use. No subscriptions, no minimums.
Specs
- Context
- 128K
- Max output
- 8K
- Latency
- Slow
- Category
- Text
- Arabic
- Partial
Quick start
Use any OpenAI-compatible client. Just change base_url and your key.
from openai import OpenAI
client = OpenAI(
api_key="tl-xxxxxxxxxxxxxxxxxxxxxxxx",
base_url="https://api.thalam.ai/v1",
)
response = client.chat.completions.create(
model="deepseek/deepseek-r1-0528",
messages=[
{"role": "user", "content": "Hello from Thalam!"}
],
)
print(response.choices[0].message.content)Similar models
GPT-5.6 Sol
The top tier of OpenAI's GPT-5.6 generation. Frontier reasoning, coding, and agentic work with a 1M-token context and image input.
GPT-5.6 Terra
The balanced tier of OpenAI's GPT-5.6 generation. Same 1M-token context and image input, tuned for everyday production work.