deepseekavailablesupports_assistant_prefillsupports_function_callingsupports_native_streamingsupports_parallel_function_callingsupports_prompt_cachingsupports_reasoningsupports_response_schemasupports_system_messagessupports_tool_choice

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DeepSeekAvailable on AvalAI

DeepSeek V4 Flash 0423 API on AvalAI

deepseek-v4-flash

DeepSeek V4 Flash 0423 is an AI model from DeepSeek that is available through AvalAI's OpenAI-compatible API.

Open dashboardCompare

Price display scale

Input price$0.44 / 1M tokens

Output price$1.32 / 1M tokens

Context window1,000,000 tokens

Maximum output393,216 tokens

Release date2026-04-24

Use DeepSeek V4 Flash 0423 with the AvalAI API

Keep the API key in an environment variable and send requests from server-side code.

Bash

curl https://api.avalai.ir/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $AVALAI_API_KEY" \
  -d '{"model": "deepseek-v4-flash", "messages": [{"role": "user", "content": "Give a concise, practical solution."}]}'

Python

import os
from openai import OpenAI

client = OpenAI(
    api_key=os.environ["AVALAI_API_KEY"],
    base_url="https://api.avalai.ir/v1",
)

response = client.chat.completions.create(
    model="deepseek-v4-flash",
    messages=[{"role": "user", "content": "Give a concise, practical solution."}],
)

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

JavaScript

import OpenAI from "openai";

const client = new OpenAI({
  apiKey: process.env.AVALAI_API_KEY,
  baseURL: "https://api.avalai.ir/v1",
});

const response = await client.chat.completions.create({
  model: "deepseek-v4-flash",
  messages: [{ role: "user", content: "Give a concise, practical solution." }],
});

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

Create an API keyRead the quickstart

Capabilities and endpoints

• Assistant prefill
• Function calling
• Streaming
• Parallel function calling
• Prompt caching
• Reasoning
• Structured output
• System messages
• Tool choice

Endpoints

• /v1/chat/completions

Third-party model parameters

Third-party reference data does not change AvalAI endpoint support; use the capabilities and endpoints above.

• frequency_penalty
• include_reasoning
• logit_bias
• logprobs
• max_completion_tokens
• max_tokens
• min_p
• presence_penalty
• reasoning
• reasoning_effort
• repetition_penalty
• response_format
• seed
• stop
• structured_outputs
• temperature
• tool_choice
• tools
• top_a
• top_k
• top_logprobs
• top_p

Supplemental reasoning effort values

high, xhigh

DeepSeek V4 Flash 0423 rate limits

Tier	RPM	TPM
Basic	3	40,000
Tier 1	250	2,000,000
Tier 2	500	4,000,000
Tier 3	1,500	8,000,000
Tier 4	2,500	8,000,000
Tier 5	10,000	50,000,000

AvalAI and reference marketplace pricing

Token role	AvalAI final price0% platform fee	OpenRouter cost breakdown
		Model rate	Credit purchase fee	Effective OpenRouter cost after fee
Input price	$0.44 / 1M tokens	$0.08 / 1M tokens	5.5%	$0.09 / 1M tokens
Output price	$1.32 / 1M tokens	$0.17 / 1M tokens	5.5%	$0.18 / 1M tokens

AvalAI pricing is final with a 0% platform fee. The effective OpenRouter prices add its 5.5% credit purchase fee to the highest reported model rate, including long-context tiers. OpenRouter charges a 5.5% fee when credits are purchased ($0.80 minimum), so small credit purchases can have a higher effective cost. OpenRouter FAQ

Peer benchmark performance

Independent, sourced scores with no composite rating.

Artificial Analysis Agentic Index

23.8index

Score	Peer rank	Direction	Source and date
23.8 index	No comparable data	Higher is better	OpenRouter · 2026-09-05

Artificial Analysis Coding Index

56.2index

Score	Peer rank	Direction	Source and date
56.2 index	No comparable data	Higher is better	OpenRouter · 2026-09-05

Third-party model data

Source: OpenRouter

Independent sources supplement this context; AvalAI remains authoritative for pricing, availability, and endpoint support.

Reviewed snapshot 2026-09-05

Provider count

—

Context window range

1,048,576

Maximum output range

384,000

OpenRouter model input rate range

$0.0844 / 1M

OpenRouter model output rate range

$0.1688 / 1M

OpenRouter fee

5.5% credit purchase fee · OpenRouter fee details

Effective input price range after fee

$0.0891 / 1M

Effective output price range after fee

$0.1781 / 1M

Related models

• DeepSeek V4 Pro 0423
• deepseek-v4.1-flash
• deepseek-v3.2-speciale
• DeepSeek V3.2

Frequently asked questions

What is the DeepSeek V4 Flash 0423 API on AvalAI?

Create an AvalAI API key and send the model ID deepseek-v4-flash to one of the supported endpoints shown on this page.

How much does the DeepSeek V4 Flash 0423 API cost on AvalAI?

The DeepSeek V4 Flash 0423 API on AvalAI costs $0.44 per 1M input tokens and $1.32 per 1M output tokens.

What is the token cost for DeepSeek V4 Flash 0423?

Current AvalAI pricing for DeepSeek V4 Flash 0423 is $0.44 / 1M tokens for input and $1.32 / 1M tokens for output.

What is the DeepSeek V4 Flash 0423 context window?

The recorded maximum input context for DeepSeek V4 Flash 0423 is 1,000,000 tokens.

What are the rate limits for DeepSeek V4 Flash 0423 on AvalAI?

On tier 5, DeepSeek V4 Flash 0423 on AvalAI supports up to 10,000 requests per minute and 50,000,000 tokens per minute.

What features does DeepSeek V4 Flash 0423 support on AvalAI?

DeepSeek V4 Flash 0423 on AvalAI supports Assistant prefill, Function calling, Streaming, Parallel function calling, Prompt caching, Reasoning, Structured output, System messages, Tool choice.

What account tier is required to use DeepSeek V4 Flash 0423 on AvalAI?

Calling DeepSeek V4 Flash 0423 on AvalAI requires the Basic tier (tier 0) or higher.

Third-party data and freshness

• Pricing, availability, endpoints, and rate limits: AvalAI structured data (authoritative)
• OpenRouter marketplace · Last checked: 2026-09-05