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DeepSeek R1T Chimera
deepseek-r1t-chimeraDeepSeek-R1T-Chimera combines DeepSeek-R1 with V3-0324 using a MoE architecture, blending R1’s reasoning strengths with V3's token efficiency. Optimized for general text generation and instruction following, it balances reasoning, efficiency, and usability. The model is MIT-licensed and available for both research and commercial use.
- Context
- 163.8K tokens
- Endpoint
Pricing
Input$0.30 / 1M
Output$1.20 / 1M
Cache Write (5m)$0.30 / 1M
Cache Write (1h)$0.30 / 1M
Cache Read$0.30 / 1M
Web Search$0 / 1M
Quick Start
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Endpoint
python
from openai import OpenAI client = OpenAI( api_key="YOUR_API_KEY", base_url="https://api.apertis.ai/v1") response = client.chat.completions.create( model="deepseek-r1t-chimera", messages=[ {"role": "user", "content": "Hello!"} ], max_tokens=1024, temperature=0.7) print(response.choices[0].message.content) # Optional: Enable context compression to reduce token usage# response = client.chat.completions.create(# model="deepseek-r1t-chimera",# messages=[{"role": "user", "content": "Hello!"}],# extra_body={"compression": {"enabled": True, "model": "gpt-4.1-mini"}}# )Supported Parameters
API docsCommon7 params
modelmessagesmax_tokenstemperaturetop_pstreamtoolsExtended4 params
reasoning_effortstream_optionsthinkingextra_bodyCursor IDE Model IDs
Use these namespaced identifiers in Cursor IDE to avoid conflicts with built-in models.
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