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DeepSeek

DeepSeek V3

modeldeepseek-chat
BudgetStableCommunityStreamingToolsLong 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 V3

DeepSeek's direct DeepSeek-V3 endpoint. Same weights as our `deepseek-v3` slug but a different route (DeepSeek's own infrastructure). Use this slug when you want the deterministic direct route at standard published pricing.

Key facts

Maker
DeepSeek
Context window
131K tokens
Max output
8K 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

2024-12

Training cutoff

2024-07

Parameters

MoE 671B (37B active)

Best for

Use cases

  • Customers pinning to DeepSeek's direct route
  • Same use cases as DeepSeek V3

Strengths

What it does well

  • Direct provider route
  • Standard DeepSeek pricing
  • Same weights as deepseek-v3

Limitations

Know the trade-offs

  • More expensive than the deepseek-v3 alternative route
  • Same model, double the cost

Code example

Chat completion with DeepSeek V3

from openai import OpenAI

client = OpenAI(
    base_url="https://api.anoman.io/v1",
    api_key="anm-sk-..."
)

response = client.chat.completions.create(
    model="deepseek-chat",
    messages=[{"role": "user", "content": "Hello!"}]
)
print(response.choices[0].message.content)

Use DeepSeek V3 through Anoman.