DeepSeek
DeepSeek R1
model
deepseek-reasonerBudgetStableStreamingReasoningLong contextChina
Context
131K
Input / 1M tokens
$0.2800
Output / 1M tokens
$0.4200
Weighted tokens formula
1× provider × 1× tier
About this model
DeepSeek R1
DeepSeek R1 via direct DeepSeek endpoint. Same weights as our `deepseek-r1` slug.
Released
2025-01
Training cutoff
2024-07
Parameters
MoE 671B (37B active)
Best for
Use cases
- ✓Hard reasoning + math
- ✓Same use cases as DeepSeek R1
Strengths
What it does well
- ●Direct provider route
- ●Identical weights to deepseek-r1
Limitations
Know the trade-offs
- !Same model, higher cost than alternative route
Code example
Chat completion with DeepSeek R1
from openai import OpenAI
client = OpenAI(
base_url="https://api.anoman.io/v1",
api_key="anm-sk-..."
)
response = client.chat.completions.create(
model="deepseek-reasoner",
messages=[{"role": "user", "content": "Hello!"}]
)
print(response.choices[0].message.content)Weighted tokens
weighted_tokens = raw_tokens × 1 (provider) × 1 (tier)
Pro plan: 20M weighted tokens/month. Combined multiplier 1×: 20,000,000 raw tokens available.
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