Qwen: Qwen3 8B

qwen/qwen3-8b

Released Apr 28, 202540,960 context

$0.05/M input tokens$0.40/M output tokens

Qwen3-8B is a dense 8.2B parameter causal language model from the Qwen3 series, designed for both reasoning-heavy tasks and efficient dialogue. It supports seamless switching between "thinking" mode for math, coding, and logical inference, and "non-thinking" mode for general conversation. The model is fine-tuned for instruction-following, agent integration, creative writing, and multilingual use across 100+ languages and dialects. It natively supports a 32K token context window and can extend to 131K tokens with YaRN scaling.

Providers for Qwen3 8B

OpenRouter routes requests to the best providers that are able to handle your prompt size and parameters, with fallbacks to maximize uptime.

Performance for Qwen3 8B

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Effective Pricing for Qwen3 8B

Actual cost per million tokens across providers over the past hour

Apps using Qwen3 8B

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Recent activity on Qwen3 8B

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Prompt

2.6B

Reasoning

218M

Completion

197M

Prompt tokens measure input size. Reasoning tokens show internal thinking before a response. Completion tokens reflect total output length.

Uptime stats for Qwen3 8B

Uptime stats for Qwen3 8B across all providers

Sample code and API for Qwen3 8B

OpenRouter normalizes requests and responses across providers for you.

OpenRouter provides an OpenAI-compatible completion API to 300+ models & providers that you can call directly, or using the OpenAI SDK. Additionally, some third-party SDKs are available.

In the examples below, the OpenRouter-specific headers are optional. Setting them allows your app to appear on the OpenRouter leaderboards.

Using third-party SDKs

For information about using third-party SDKs and frameworks with OpenRouter, please see our frameworks documentation.

See the Request docs for all possible fields, and Parameters for explanations of specific sampling parameters.

Qwen3 8B - API Pricing & Providers | OpenRouter