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OpenKey

DeepSeek V3

DeepSeekReleased Dec 26, 2024

DeepSeek-V3 is the latest model from the DeepSeek team, building upon the instruction following and coding abilities of the previous versions. Pre-trained on nearly 15 trillion tokens, the reported evaluations...

Try in playground
Context window
131K tokens
Max output
16K tokens
Input
text
Output
text
Tokenizer
DeepSeek
Knowledge cutoff
Jul 31, 2024
Released
Dec 26, 2024

Pricing

Per 1M tokens. The provider price and our flat 3% fee are separate columns — what you pay is their sum.

Per 1M tokensProvider+ 3% feeYou pay
Input$0.200$0.0060$0.206
Output$0.800$0.024$0.824

Benchmarks

Design Arena

CategoryEloWin rateRank
3Dmodels116450.7%#54
Codemodels115848.5%#67
Data vizmodels114251.4%#67
Game devmodels112043.9%#74
SVGmodels103438.8%#67
UI componentsmodels115052.8%#62
Websitesmodels116348.5%#65

Head-to-head preference voting. How we filter and rank

Supported parameters

  • frequency_penalty
  • logit_bias
  • max_tokens
  • min_p
  • presence_penalty
  • repetition_penalty
  • response_format
  • seed
  • stop
  • structured_outputs
  • temperature
  • tool_choice
  • tools
  • top_k
  • top_p

Call it

OpenAI-compatible: point your SDK at api.openkey.ai/v1 and use model deepseek/deepseek-chat.

Code sample language
curl https://api.openkey.ai/v1/chat/completions \
  -H "Authorization: Bearer $OPENKEY_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "deepseek/deepseek-chat",
    "messages": [{"role": "user", "content": "Hello"}]
  }'
import os
from openai import OpenAI

client = OpenAI(
    base_url="https://api.openkey.ai/v1",
    api_key=os.environ["OPENKEY_API_KEY"],
)

completion = client.chat.completions.create(
    model="deepseek/deepseek-chat",
    messages=[{"role": "user", "content": "Hello"}],
)
print(completion.choices[0].message.content)
import OpenAI from "openai";

const client = new OpenAI({
  baseURL: "https://api.openkey.ai/v1",
  apiKey: process.env.OPENKEY_API_KEY,
});

const completion = await client.chat.completions.create({
  model: "deepseek/deepseek-chat",
  messages: [{ role: "user", content: "Hello" }],
});
console.log(completion.choices[0].message.content);

Questions

How much does DeepSeek V3 cost via API?
Through OpenKey, DeepSeek V3 costs $0.206 per 1M input tokens and $0.824 per 1M output tokens. That is the provider price ($0.200 / $0.800) plus a flat 3% fee — nothing else.
What is DeepSeek V3's context window?
DeepSeek V3 accepts up to 131K tokens of context and returns up to 16K tokens per request.
Is DeepSeek V3 OpenAI-compatible?
Yes. Send requests to OpenKey's /v1/chat/completions endpoint with model "deepseek/deepseek-chat" using any OpenAI SDK — only the base URL and API key change.
What inputs does DeepSeek V3 support?
DeepSeek V3 accepts text input and produces text output. Its knowledge cutoff is Jul 31, 2024.

More from DeepSeek

All DeepSeek models →