LLM Reference

Qwen2.5-14B-Instruct on SiliconFlow

Qwen2.5 · Alibaba

Serverless

Last refreshed 2026-05-11. Next refresh: weekly.

Why use Qwen2.5-14B-Instruct on SiliconFlow?

SiliconFlow offers Qwen2.5-14B-Instruct with pay-as-you-go pricing at $0.08/1M input tokens. SiliconFlow is a model serving platform for open and closed model inference, offering fast and cost-effective API access to popular AI models.

Compare Qwen2.5-14B-Instruct across 3 providers to find the best fit for your use case
Input / 1M
$0.080
Output / 1M
$0.080
Cache
Not sourced
Batch
Not sourced

Setup recipe

Docs fallback
Install
Use the provider REST API or SDK
Auth
Create a provider API key
Call
model: qwen2.5-14b-instruct
Model ID
qwen2.5-14b-instruct

Request example

Curated snippets for this provider have not been sourced yet.

Gotchas

No curated gotchas have been sourced for this exact provider/model route yet.

Compare Qwen2.5-14B-Instruct Across Providers

ProviderInput (per 1M)Output (per 1M)
DeepInfra$0.10$0.10
Fireworks AI$0.20$0.20
SiliconFlow$0.08$0.08

Pricing

TypePrice (per 1M)
Input tokens$0.08
Output tokens$0.08

Capabilities

Structured Outputs

About Qwen2.5-14B-Instruct

Instruction-optimized 14B variant for complex queries requiring nuanced responses and strong multilingual support.

FAQ

What does Qwen2.5-14B-Instruct cost on SiliconFlow?

On SiliconFlow, Qwen2.5-14B-Instruct costs $0.08 per 1M input tokens and $0.08 per 1M output tokens.

What is the context window for Qwen2.5-14B-Instruct on SiliconFlow?

Qwen2.5-14B-Instruct supports a 128,000 token context window on SiliconFlow.

How does SiliconFlow compare to other Qwen2.5-14B-Instruct providers?

Qwen2.5-14B-Instruct is available from 3 providers. The cheapest input pricing is $0.08/1M tokens from SiliconFlow.

Who created Qwen2.5-14B-Instruct?

Qwen2.5-14B-Instruct was created by Alibaba as part of the Qwen2.5 model family.

Is Qwen2.5-14B-Instruct open source?

Qwen2.5-14B-Instruct is open source under Apache 2.0 according to the seed data.

Get Started

Model Specs

Released2024-06-07
Parameters14.7B
Context128K
ArchitectureDecoder Only