OpenRouter · Active

Qwen: Qwen3 8B

qwen/qwen3-8b
Context window
131,072 tokens
Maximum output
8,192 tokens
Input price
$0.117 per 1M tokens
Output price
$0.455 per 1M tokens
Modalities
text

Last verified · Source ↗

Official description

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,...

Read the official model reference ↗.

Where this model fits

qwen/qwen3-8b is part of the OpenRouter API catalog. Its documented modalities are text. Choose it against the request format, output requirements and operational limits of your application.

The source metadata identifies support for router hosting. Confirm endpoint-specific parameters in the official reference before integrating that capability.

For a repeatable evaluation, use representative requests, inspect structured output or tool calls, and log latency and usage in your own account. Catalog metadata establishes compatibility; it does not measure answer quality on your workload. Start from the provider guide for authentication and endpoint setup.

Current pricing

Verified model prices
ModelPrice typeUSDUnitTierRegionSource
Qwen: Qwen3 8BInput$0.117per 1M tokensStandardSee sourceOfficial source ↗
Qwen: Qwen3 8BOutput$0.455per 1M tokensStandardSee sourceOfficial source ↗

Last verified · Source ↗

Estimate request, daily and monthly usage in the API cost calculator.

Rate limits and availability

Published limits have not yet been verified for this selection. Check the official limits documentation and your account console.

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Account-specific capacity may differ. Check the provider rate-limit guide and the free-tier conditions.

Three alternatives to compare

These alternatives share a documented modality and have the closest combination of input price and context size in the current catalog. This is a specification comparison, not a quality benchmark.

Computed model alternatives
ModelProviderInput / 1M tokensContext
Qwen: Qwen3 30B A3BOpenRouter$0.12131,072
Z.ai: GLM 4.5 AirOpenRouter$0.13131,072
Qwen: Qwen3 VL 32B InstructOpenRouter$0.104131,072

Use the exact identifier in Python

This identifier fragment belongs in the authenticated request described in the provider Python tutorial. The tutorial covers the correct SDK, endpoint, environment variable and response shape.

model = "qwen\/qwen3-8b"
# Pass model to the provider-specific request in the tutorial.

Recent changes

  1. OpenRouter · Qwen: Qwen3 8B — Amount UsdNot previously recorded → Price category: output · USD: 0.455 · Unit: per 1M tokensSource ↗
  2. OpenRouter · Qwen: Qwen3 8B — Amount UsdNot previously recorded → Price category: input · USD: 0.117 · Unit: per 1M tokensSource ↗
  3. OpenRouter · Qwen: Qwen3 8B — First SeenNot previously recorded → Model: Qwen: Qwen3 8BSource ↗

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Frequently asked questions

What is the exact API model identifier?
Use qwen/qwen3-8b exactly as shown in the provider model reference. Display names are not interchangeable with API identifiers.
How much does this model cost?
The current verified prices and billing units are listed in the pricing table above. Cache, batch, tier and region conditions remain separate rows when the provider documents them.
How much input can the model accept?
The model card shows the documented context window and maximum output when available. Your request must leave room for both input and generated output, including any provider-specific reasoning allocation.
Can I use a free tier?
Check the linked provider free-tier page for eligibility and account conditions. An account credit or temporary trial does not establish a permanent free rate.
Where do these model facts come from?
Official provider references are linked beside the data and in Sources. Changes are recorded with observation times; unresolved or undocumented fields are left unavailable.

Sources

Last verified · Source ↗