DeepSeek V4 Flash 0423
ChatNot available
Reasoning-first model built for agents. Competes with GPT-5 level performance.
- Context
- 1.05Mtokens
- Max output
- 384Ktokens
- Released
- 2026-04-24
Pricing
$ / 1M tokensInput
$0.14/M
Output
$0.28/M
Cache Read
$0.028/M
Cache Write
$0.14/M
Capabilities
5 listed- Chat
- Tool Use
- Reasoning
- Coding
- Analysis
Code examples
POST /v1/chat/completionspython
from openai import OpenAI
client = OpenAI(
api_key="your_api_key",
base_url="https://api.modelstack.cc/v1",
)
response = client.chat.completions.create(
model="deepseek-v4-flash",
messages=[{"role": "user", "content": "Hello!"}],
)
print(response.choices[0].message.content)Related models
Frequently asked questions
How is DeepSeek V4 Flash 0423 billed on ModelStack?expand_more
ModelStack bills based on actual request usage. Input, output, cache, and any other applicable rates follow the live pricing table on this page. Final request costs are available in the console.
What are the context window and maximum output for DeepSeek V4 Flash 0423?expand_more
DeepSeek V4 Flash 0423 has a 1.05M context window and supports up to 384K of output.
How can I call DeepSeek V4 Flash 0423 through ModelStack?expand_more
Use the model ID `deepseek-v4-flash` with any OpenAI-compatible SDK pointed at the ModelStack API — see the code examples above for Python, Node.js, and cURL.
Which capabilities does DeepSeek V4 Flash 0423 support?expand_more
DeepSeek V4 Flash 0423 supports: Chat, Tool Use, Reasoning, Coding, Analysis.