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Qwen3 14B API on AvalAI

qwen3-14b

Qwen3 14B is an AI model from Alibaba that is available through AvalAI's OpenAI-compatible API.

Open dashboardCompare

Price display scale

Input price$0.35 / 1M tokens

Output price$4.20 / 1M tokens

Context window98,304 tokens

Maximum output8,192 tokens

Release date2025-04-28

Knowledge cutoff2025-03-31

Use Qwen3 14B 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": "qwen3-14b", "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="qwen3-14b",
    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: "qwen3-14b",
  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

• Function calling
• Parallel function calling
• System messages
• Tool choice

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_tokens
• min_p
• presence_penalty
• reasoning
• repetition_penalty
• response_format
• seed
• stop
• structured_outputs
• temperature
• tool_choice
• tools
• top_k
• top_logprobs
• top_p

Qwen3 14B rate limits

Tier	RPM	TPM
Basic	3	40,000
Tier 1	25	200,000
Tier 2	50	500,000
Tier 3	150	800,000
Tier 4	1,000	1,200,000
Tier 5	750	2,000,000

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	$0.35 / 1M tokens	$0.12 / 1M tokens	5.5%	$0.13 / 1M tokens
Output price	$4.20 / 1M tokens	$0.24 / 1M tokens	5.5%	$0.25 / 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

1.9index

Score	Peer rank	Direction	Source and date
1.9 index	No comparable data	Higher is better	OpenRouter · 2026-08-17

Artificial Analysis Coding Index

13.8index

Score	Peer rank	Direction	Source and date
13.8 index	No comparable data	Higher is better	OpenRouter · 2026-08-17

Artificial Analysis Intelligence Index

10.4index

Score	Peer rank	Direction	Source and date
10.4 index	No comparable data	Higher is better	OpenRouter · 2026-08-17

Third-party model data

Source: OpenRouter

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

Reviewed snapshot 2026-08-17

Provider count

—

Context window range

131,072

Maximum output range

16,384

OpenRouter model input rate range

$0.12 / 1M

OpenRouter model output rate range

$0.24 / 1M

OpenRouter fee

5.5% credit purchase fee · OpenRouter fee details

Effective input price range after fee

$0.1266 / 1M

Effective output price range after fee

$0.2532 / 1M

Related models

• qwen3-vl-plus
• qwen3-vl-flash
• Qwen3 VL 32B Instruct
• qwen3-rerank

Frequently asked questions

What is the Qwen3 14B API on AvalAI?

Create an AvalAI API key and send the model ID qwen3-14b to one of the supported endpoints shown on this page.

How much does the Qwen3 14B API cost on AvalAI?

The Qwen3 14B API on AvalAI costs $0.35 per 1M input tokens and $4.20 per 1M output tokens.

What is the token cost for Qwen3 14B?

Current AvalAI pricing for Qwen3 14B is $0.35 / 1M tokens for input and $4.20 / 1M tokens for output.

What is the Qwen3 14B context window?

The recorded maximum input context for Qwen3 14B is 98,304 tokens.

What are the rate limits for Qwen3 14B on AvalAI?

On tier 5, Qwen3 14B on AvalAI supports up to 750 requests per minute and 2,000,000 tokens per minute.

What features does Qwen3 14B support on AvalAI?

Qwen3 14B on AvalAI supports Function calling, Parallel function calling, System messages, Tool choice.

What account tier is required to use Qwen3 14B on AvalAI?

Calling Qwen3 14B 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: 2026-08-17