Alibaba

AQwen3 14BOPEN

Qwen3 14B (Alibaba): live API pricing, context window and the best open-source alternatives, tracked daily by olud.ai.

Context window
131K
tokens
Input price
$0.23
per M tokens
Output price
$0.91
per M tokens
Provider
Alibaba

Prices update automatically — checked hourly against provider list prices.

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Benchmarks & performance

Independent benchmark scores for Qwen3 14B, measured by Artificial Analysis. Higher is better. Measurement mode: Reasoning.

Intelligence index10.4
Coding index13.8
Math index55.7
GPQA60.4%
MMLU-Pro77.4%
Humanity's Last Exam4.3%
Long Context Reasoning0%
LiveCodeBench52.3%
SciCode31.6%
MATH-50096.1%
AIME76.3%
AIME 202555.7%
IFBench40.5%
τ²-Bench34.5%
τ-Bench Banking5.4%
Terminal-Bench4.9%
Terminal-Bench Hard3.8%
💰 Blended price$1.313 / 1M tokens
📈 Value7.9 intelligence points per $
Benchmark data by Artificial Analysis

About this model

Qwen3 14B is an open-weight AI model by Alibaba. You can download and self-host it for free; the prices below are hosted-API list prices, tracked hourly, for when you prefer convenience over self-hosting.

Frequently asked questions

What is Qwen3 14B?

Qwen3 14B is an AI language model from Alibaba. It is open-weight: you can download it and run it on your own hardware, for free. It scores 10.4 on the Artificial Analysis intelligence index.

Is Qwen3 14B free?

The weights are free and open — you can self-host Qwen3 14B and pay nothing per token. If you prefer a hosted API, list prices are $0.23 per million input tokens and $0.91 per million output tokens.

What is Qwen3 14B good at?

Independent benchmarks from Artificial Analysis give it GPQA 60.4%, MMLU-Pro 77.4%, Humanity's Last Exam 4.3%, Long Context Reasoning 0%, LiveCodeBench 52.3%, SciCode 31.6%, MATH-500 96.1%, AIME 76.3%, AIME 2025 55.7%, IFBench 40.5%, τ²-Bench 34.5%, τ-Bench Banking 5.4%, Terminal-Bench 4.9%, Terminal-Bench Hard 3.8%. It is particularly used for code generation.

Can I self-host Qwen3 14B?

Yes. Qwen3 14B has open weights, so you can download it and run it on your own GPU or server with tools like Ollama, vLLM or llama.cpp — with no per-token cost.

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