How much does DeepSeek V4 Flash 0731 cost?

On the Respan gateway, DeepSeek V4 Flash 0731 costs from $0.04 per 1M input tokens and $0.13 per 1M output tokens on OpenRouter, after gateway discounts. Averaged across its 16 routes from 15 providers, it costs $0.23 per 1M input tokens and $0.64 per 1M output tokens.

Which providers serve DeepSeek V4 Flash 0731 on Respan?

DeepSeek V4 Flash 0731 is available through 16 routes from 15 providers: OpenRouter, DeepInfra, Gonka24, Relace, Baseten, Inceptron, and 9 more.

What is DeepSeek V4 Flash 0731's context window?

DeepSeek V4 Flash 0731 accepts up to 1M tokens of context on its largest provider route.

How do I use DeepSeek V4 Flash 0731 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-0731". 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 0731?

Over the last 30 days of requests through the Respan gateway, the fastest provider was Baseten at 112 tokens per second, and the lowest response latency was 0.6 seconds on Baseten. Speed varies with request size and provider.

DeepSeek V4 Flash 0731

Q: What is DeepSeek V4 Flash 0731?

DeepSeek V4 Flash 0731 is a model from Deepseek, released on Jul 31, 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: $0.04 / $0.13 per 1M
Weekly tokens / requests: 779.7K / 261
Context: 1M tokens
Released: Jul 31, 2026

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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-0731".

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-0731",

    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-0731",

  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-0731",

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

}'

Read docs

Providers

16 routes from 15 providers, cheapest first, priced per 1M tokens after gateway discounts.

Provider	Context	Input	Output	Cache read	Capabilities
OpenRouter`openrouter/deepseek/deepseek-v4-flash-0731`	1M	$0.04/M	$0.13/M	$0.0014/M	+2
DeepInfra`deepinfra/deepseek-ai/DeepSeek-V4-Flash-0731`	1M	$0.06/M	$0.18/M	$0.01/M	+2
Gonka24`gonka24/deepseek-v4-flash-0731`	399K	$0.07/M	$0.14/M	$0.00/M
Relace`relace/deepseek-ai/DeepSeek-V4-Flash-0731`	1M	$0.07/M	$0.14/M	$0.01/M	+2
Baseten`baseten/deepseek-ai/DeepSeek-V4-Flash-0731`	1M	$0.13/M	$0.26/M	$0.03/M	+2
Inceptron`inceptron/deepseek-ai/DeepSeek-V4-Flash-0731`	1M	$0.13/M	$0.28/M	$0.03/M	+2
Nebius`nebius/deepseek-ai/DeepSeek-V4-Flash-0731`	1M	$0.14/M	$0.28/M	$0.01/M	+2
Parasail`parasail/deepseek-ai/DeepSeek-V4-Flash-0731`	1M	$0.14/M	$0.28/M	$0.05/M	+2
Wafer`wafer/DeepSeek-V4-Flash-0731-Fast`	1M	$0.14/M	$0.28/M	$0.03/M	+2
MorphLLM`morph/morph-dsv4flash-0731`	1M	$0.14/M	$0.40/M	$0.04/M	+2
Nextbit256`nextbit256/deepseek:v4-flash-0731`	1M	$0.35/M	$1.06/M	$0.01/M
EmpirioLabs`empiriolabs/deepseek-v4-flash-0731`	1M	$0.42/M	$1.27/M	$0.42/M	+2
Chutes`chutes/deepseek-ai/DeepSeek-V4-Flash-0731-TEE`	1M	$0.44/M	$1.32/M	$0.04/M	+2
Novita`novita/deepseek/deepseek-v4-flash-0731`	1M	$0.44/M	$1.32/M	$0.03/M	+2
Novita`novita/deepseek/deepseek-v4-flash-0731-p`	1M	$0.44/M	$1.32/M	$0.01/M	+2
Inference.net`inference_net/deepseek-v4-flash-0731`	1M	$0.53/M	$1.58/M	$0.02/M