LLM Reference
OpenRouter

Using Qwen3-Coder-Next on OpenRouter

Implementation guide · Qwen3-Coder · Alibaba

ServerlessOpen Source

Quick Start

  1. 1
    Create an account at OpenRouter and generate an API key.
  2. 2
    Use the OpenRouter SDK or REST API to call qwen/qwen3-coder-next — see the documentation for request format.
  3. 3
    You'll be billed $0.12/1M input, $0.80/1M output tokens. See full pricing.

Code Examples

See OpenRouter documentation for integration details.

About OpenRouter

OpenRouter provides a unified interface for Large Language Models with better pricing, improved uptime, and no subscription requirements. Route across providers for cost optimization and reliability.

OpenRouter is a multi-provider LLM aggregator offering unified API access to 300+ models from all major labs and emerging providers, with automatic failover for reliability.

Pricing on OpenRouter

TypePrice (per 1M)
Input tokens$0.12
Output tokens$0.80

Capabilities

ReasoningFunction CallingTool UseStructured OutputsCode Execution

About Qwen3-Coder-Next

Qwen3-Coder-Next is an ultra-sparse Mixture-of-Experts coding agent model from Alibaba's Qwen team, released February 3, 2026 under Apache 2.0. It has 80B total parameters with 3B active at inference, delivering substantially higher throughput than comparable dense models. It supports a native 256K context window, function calling, structured outputs, Claude Code, Qwen Code, Cline, Kilo, and other scaffold templates. Benchmarks reported in the DAT-3724 datapack include SWE-Bench Pro 44.3%, SWE-Bench Resolved 70.6%, and TerminalBench 2 36.2%.

Model Specs

Released2026-02-03
Parameters80B total, 3B active
Context256k
Architecturemoe

Provider

OpenRouter
OpenRouter

OpenRouter, Inc.

New York, NY, USA