How much does DeepSeek V4 Flash 0423 cost?

On the Respan gateway, input starts at $0.03 per 1M tokens on Relace, and output starts at $0.28 per 1M tokens on Wafer, after gateway discounts. Averaged across its 2 providers, it costs $0.08 per 1M input tokens and $0.78 per 1M output tokens.

Which providers serve DeepSeek V4 Flash 0423 on Respan?

DeepSeek V4 Flash 0423 is available through 2 providers: Relace and Wafer.

What is DeepSeek V4 Flash 0423's context window?

DeepSeek V4 Flash 0423 accepts up to 1M tokens of context on its largest provider route.

How do I use DeepSeek V4 Flash 0423 with the Respan gateway?

Point any OpenAI-compatible SDK at https://api.respan.ai/api/ with your Respan API key and set the model to "deepseek-v4-flash-0423". To set it up with a coding agent, copy the agent setup prompt at the top of this page.

How fast is DeepSeek V4 Flash 0423?

Over the last 30 days of requests through the Respan gateway, the fastest provider was Relace at 34 tokens per second, and the lowest response latency was 0.7 seconds on Relace. Speed varies with request size and provider.

DeepSeek V4 Flash 0423

Q: What is DeepSeek V4 Flash 0423?

DeepSeek V4 Flash 0423 is a model from Deepseek, released on Apr 24, 2026. DeepSeek V4 Flash is an efficiency-optimized Mixture-of-Experts model from DeepSeek with 284B total parameters and 13B activated parameters, supporting a 1M-token context window. It is designed for fast inference and high-throughput workloads, while maintaining strong reasoning and coding performance. The model includes hybrid attention for efficient long-context processing. Reasoning efforts high and xhigh are supported; xhigh maps to max reasoning. It is well suited for applications such as coding assistants, chat systems, and agent workflows where responsiveness and cost efficiency are important.

DeepSeek V4 Flash is an efficiency-optimized Mixture-of-Experts model from DeepSeek with 284B total parameters and 13B activated parameters, supporting a 1M-token context window. It is designed for fast inference and high-throughput workloads, while maintaining strong reasoning and coding performance. The model includes hybrid attention for efficient long-context processing. Reasoning efforts high and xhigh are supported; xhigh maps to max reasoning. It is well suited for applications such as coding assistants, chat systems, and agent workflows where responsiveness and cost efficiency are important.

Input / output, from: $0.03 / $0.28 per 1M
Weekly tokens / requests: 107.1K / 38
Context: 1M tokens
Released: Apr 24, 2026

Try Respan for free

Agent setup

Paste into Claude Code, Cursor, or Codex

Help me set up the Respan gateway: fetch and follow https://www.respan.ai/docs/agent-setup.md. Use model "deepseek-v4-flash-0423".

from openai import OpenAI

client = OpenAI(

    base_url="https://api.respan.ai/api/",

    api_key="YOUR_RESPAN_API_KEY",

)

response = client.chat.completions.create(

    model="deepseek-v4-flash-0423",

    messages=[{"role": "user", "content": "Hello!"}],

)

print(response.choices[0].message.content)

import OpenAI from "openai";

const client = new OpenAI({

  baseURL: "https://api.respan.ai/api/",

  apiKey: "YOUR_RESPAN_API_KEY",

});

const response = await client.chat.completions.create({

  model: "deepseek-v4-flash-0423",

  messages: [{ role: "user", content: "Hello!" }],

});

console.log(response.choices[0].message.content);

curl https://api.respan.ai/api/chat/completions \

  -H "Authorization: Bearer YOUR_RESPAN_API_KEY" \

  -H "Content-Type: application/json" \

  -d '{

    "model": "deepseek-v4-flash-0423",

    "messages": [{"role": "user", "content": "Hello!"}]

}'

Read docs

Providers

2 providers, cheapest first, priced per 1M tokens after gateway discounts.

Provider	Context	Input	Output	Cache read	Capabilities
Relace`relace/deepseek-ai/DeepSeek-V4-Flash-0423`	1M	$0.03/M	$1.28/M	$0.03/M	+2
Wafer`wafer/DeepSeek-V4-Flash-0423`	1M	$0.14/M	$0.28/M	$0.03/M	+2

Pricing

Averaged across 2 providers, in USD per 1M tokens after gateway discounts.

Average input: $0.08 per 1M
Average output: $0.78 per 1M
Average cache read: $0.03 per 1M

Cost by volume

Total cost from 0 to 1T tokens on the cheapest and most expensive provider.

Highest$0.14/MWaferLowest$0.03/MRelace

Throughput and latency

30-day averages from requests through the Respan gateway. Under each figure, every model on the gateway by its average, this one in blue.

Output speed

Higher is better

34tokens/sbest, on Relace

Faster than 38% of the other 486 models on the gateway

Relace34 tok/s
Wafer14 tok/s

Response latency

Lower is better

0.7sbest, on Relace

Faster than 64% of the other 502 models on the gateway

Relace0.7 s
Wafer2.6 s

Apps

Use DeepSeek V4 Flash 0423 in the tools you already run. Each guide points the app at the Respan gateway.

Setup guides for more apps are in the integration docs.