DeepSeek V4 Flash

Vendor: DeepSeek Model ID: deepseek-v4-flash Capability: 64K context · tool use · streaming · structured output Pricing: per-token, flash tier (live rate) DeepSeek V4 Flash takes the V4 base and tunes for latency. Same strong code generation on bounded prompts, half the wait of V4 Pro on short inputs. Right pick for inline code suggestions, lint-style fixes, and any agent step where one or two seconds matters.

Request

curl https://llm.bytespike.ai/v1/chat/completions \
  -H "Authorization: Bearer $BYTESPIKE_API_KEY" \
  -H "content-type: application/json" \
  -d '{
    "model": "deepseek-v4-flash",
    "messages": [{"role": "user", "content": "Add type hints to this Python function."}]
  }'

Body parameters

Field	Type	Required	Default	Notes
`model`	string	yes	—	`deepseek-v4-flash`
`messages`	array	yes	—	—
`max_tokens`	integer	no	model max	Max: 8192.
`tools`	array	no	—	Function calling supported.
`response_format`	object	no	—	JSON / structured output.
`stream`	boolean	no	false	SSE streaming.

Response

{
  "id": "chatcmpl-…",
  "object": "chat.completion",
  "model": "deepseek-v4-flash",
  "choices": [{"index": 0, "message": {"role": "assistant", "content": "..."}, "finish_reason": "stop"}],
  "usage": {"prompt_tokens": 64, "completion_tokens": 142, "total_tokens": 206}
}

Code examples

curl https://llm.bytespike.ai/v1/chat/completions \
  -H "Authorization: Bearer $BYTESPIKE_API_KEY" \
  -H "content-type: application/json" \
  -d '{"model": "deepseek-v4-flash", "messages": [{"role": "user", "content": "Add type hints."}]}'

from openai import OpenAI

client = OpenAI(base_url="https://llm.bytespike.ai/v1", api_key="$BYTESPIKE_API_KEY")
resp = client.chat.completions.create(
    model="deepseek-v4-flash",
    messages=[{"role": "user", "content": "Add type hints to this Python function."}],
)
print(resp.choices[0].message.content)

import OpenAI from "openai"

const client = new OpenAI({
  baseURL: "https://llm.bytespike.ai/v1",
  apiKey: process.env.BYTESPIKE_API_KEY,
})
const resp = await client.chat.completions.create({
  model: "deepseek-v4-flash",
  messages: [
    { role: "user", content: "Add type hints to this Python function." },
  ],
})
console.log(resp.choices[0].message.content)

Streaming + caching

"stream": true for SSE. Automatic prompt caching.

Errors

Code	Trigger	Billed?
400 / 401 / 402 / 422 / 429	Standard	No
5xx	Upstream	No (auto-retry)

When to use

Inline code suggestions, lint-style fixes, IDE-integrated agents.
Latency-bound code routing.
For full V4 Pro quality on hard problems, see DeepSeek V4 Pro.

Limits

Limit	Value
Context window	64K tokens
Max output	8192 tokens
Supports tool use	Yes
Supports vision	No
Supports streaming	Yes
Supports prompt caching	Automatic

API Reference

Protocol endpoints

OpenAI

Anthropic

DeepSeek

Moonshot

Zhipu

MiniMax

Image

Video

Account & billing

Utility

Request

Body parameters

Response

Code examples

Streaming + caching

Errors

When to use

Limits

​Request

​Body parameters

​Response

​Code examples

​Streaming + caching

​Errors

​When to use

​Limits

Request

Body parameters

Response

Code examples

Streaming + caching

Errors

When to use

Limits