Alibaba

AQwen3 8BOPEN

Qwen3 8B (Alibaba): live API pricing, context window and the best open-source alternatives, tracked daily by olud.ai.

Context window
131K
tokens
Input price
$0.12
per M tokens
Output price
$0.45
per M tokens
Provider
Alibaba

Prices update automatically — checked hourly against provider list prices.

See model comparisons → Compare all model prices

Benchmarks & performance

Independent benchmark scores for Qwen3 8B, measured by Artificial Analysis. Higher is better. Measurement mode: Reasoning.

2.1×
More intelligence per dollar than Claude Opus 5 (Fast).
For the same budget, Qwen3 8B delivers 2.1 times more capability. Open weights also mean you can self-host it and pay nothing per token.
Intelligence index8.3
Coding index9
Math index19
GPQA58.9%
MMLU-Pro74.3%
Humanity's Last Exam4.2%
Long Context Reasoning0%
LiveCodeBench40.6%
SciCode22.6%
MATH-50090.4%
AIME74.7%
AIME 202519%
IFBench33.5%
τ²-Bench27.8%
τ-Bench Banking4.5%
Terminal-Bench2.2%
Terminal-Bench Hard2.3%
💰 Blended price$0.66 / 1M tokens
📈 Value12.6 intelligence points per $
Benchmark data by Artificial Analysis

About this model

Qwen3 8B 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 8B?

Qwen3 8B 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 8.3 on the Artificial Analysis intelligence index.

Is Qwen3 8B free?

The weights are free and open — you can self-host Qwen3 8B and pay nothing per token. If you prefer a hosted API, list prices are $0.12 per million input tokens and $0.45 per million output tokens.

What is Qwen3 8B good at?

Independent benchmarks from Artificial Analysis give it GPQA 58.9%, MMLU-Pro 74.3%, Humanity's Last Exam 4.2%, Long Context Reasoning 0%, LiveCodeBench 40.6%, SciCode 22.6%, MATH-500 90.4%, AIME 74.7%, AIME 2025 19%, IFBench 33.5%, τ²-Bench 27.8%, τ-Bench Banking 4.5%, Terminal-Bench 2.2%, Terminal-Bench Hard 2.3%. It is particularly used for code generation.

Can I self-host Qwen3 8B?

Yes. Qwen3 8B 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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