Qwen3 14B

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Data updated on September 30, 2026· 217 models

QwenQwen3 14B

Qwen3-14B is a dense 14.8B parameter causal language model from the Qwen3 series, designed for both complex reasoning and efficient dialogue.

Reasoning estimated
Speed estimated
Input
Output
Context
131 K tokens
Max output
16 K
Input, $ per 1M tokens
$0.120
Output, $ per 1M tokens
$0.240
Cache read, $ per 1M
—
Batch (input / output)
—
Tool calling
Yes
Released
04/01/2025
Knowledge cutoff
2025-04
API id
qwen/qwen3-14b

Summary from the data

Qwen3 14B is a Qwen model available by API since 04/01/2025. It costs $0.120 per million input tokens and $0.240 per million output tokens, accepts 131 K tokens of context and generates up to 16 K tokens per response. Input: text; output: text. It has a reasoning mode. It supports tool calling. With 10,000 requests a month of 1,500 input and 400 output tokens it would cost about $2.76 a month.

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Qwen3 14B
$2.76/mo

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Frequently asked questions

How much does Qwen3 14B cost per million tokens?

Qwen3 14B costs $0.120 per million input tokens and $0.240 per million output tokens (USD, list price). Cache read: not published. Batch tier: not published.

What context window does Qwen3 14B have?

Qwen3 14B accepts 131 K tokens of context per request and generates up to 16 K tokens per response.

Does Qwen3 14B accept images, audio or files?

Input: text. Output: text.

Does Qwen3 14B have a reasoning mode and tool calling?

It has a reasoning mode. It supports tool calling.

When was Qwen3 14B released and what is its knowledge cutoff?

Qwen3 14B has been available by API since 04/01/2025. Knowledge cutoff: 2025-04.

What would an app built on Qwen3 14B cost?

With 10,000 requests a month of 1,500 input and 400 output tokens, Qwen3 14B would cost about $2.76 a month at list price, without cache or batch discounts.

What is the API id of Qwen3 14B?

The id is qwen/qwen3-14b. It is the name passed in the model parameter of the API (or on OpenRouter).

Where do the prices come from and how often are they updated?

From the public catalogs of OpenRouter, models.dev and LiteLLM, which publish each provider's list prices. They sync once a day and the last update date is shown above the comparison.

What does price per million tokens mean?

It is what the provider charges per million tokens you send (input) or the model generates (output). A token is roughly 4 characters. Output almost always costs more than input.

Sources: OpenRouter, models.dev and LiteLLM. Prices in USD per million tokens, list price, no volume discounts. Prompt tokens are an estimate; each provider's tokenizer may differ.