Qwen3 14B

• Type: Generation

Overview

Meet Qwen3-14B - a small text-only model from the Qwen3 release.

Best for:

• High volume tasks
• Tasks that do not require maximum performance, such as classification, extraction, or summarization

Max New Tokens: 16384

Max Total Tokens: 262144

Sampling Parameters:

We have set the default sampling parameters using the recommended values set out by the Qwen team:

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We suggest using Temperature=0.7, TopP=0.8, TopK=20, and MinP=0.

For supported frameworks, you can adjust the presence_penalty parameter between 0 and 2 to reduce endless repetitions. However, using a higher value may occasionally result in language mixing and a slight decrease in model performance.

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We use a default presence_penalty of 1.5 to bias the model against endless repetitions, if you still notice this behaviour try increasing the presence_penalty.

You can adjust these on a per-request basis by setting the sampling parameters in the request body.

Pricing

Priority	Input Tokens (per 1M)	Output Tokens (per 1M)
Realtime1	$0.05	$0.60
High (1h)	$0.03	$0.30
Standard (24h)	$0.02	$0.20

Playground

Open this model in the Playground.

Footnotes

1. Realtime availability is limited. Doubleword is primarily a batch API. ↩