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DeepSeek

DeepSeek R1

modeldeepseek-reasoner
BudgetStableCommunityStreamingReasoningLong contextChina

Context

131K

Input / 1M tokens

$0.2800

Output / 1M tokens

$0.4200

Cached input / 1M tokens

$0.0658

Cache write / 1M tokens

โ€” (bills at input price)

About this model

DeepSeek R1

DeepSeek R1 via direct DeepSeek endpoint. Same weights as our `deepseek-r1` slug.

Key facts

Maker
DeepSeek
Context window
131K tokens
Max output
66K tokens
Lane
Community: needs account opt-in; the provider may use data for training
Modality
Text
Input price
$0.2800 per 1M tokens
Output price
$0.4200 per 1M tokens
Processing region(s)
cn
Route
Via DeepSeek's API
Cheapest plan
Available from the Plus Pass plan

More models by DeepSeek

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)

Use DeepSeek R1 through Anoman.