Last refreshed 2026-06-19. Next refresh: weekly.
Why use Qwen3-Coder-Next on OpenRouter?
OpenRouter offers Qwen3-Coder-Next with pay-as-you-go pricing at $0.12/1M input tokens. 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.
Compare Qwen3-Coder-Next across 4 providers to find the best fit for your use caseSetup recipe
Docs fallbackUse the provider REST API or SDKCreate a provider API keymodel: qwen/qwen3-coder-nextqwen/qwen3-coder-nextRequest example
qwen/qwen3-coder-next.Gotchas
- Use provider model ID "qwen/qwen3-coder-next", not the LLMReference slug "qwen3-coder-next".
Compare Qwen3-Coder-Next Across Providers
| Provider | Input (per 1M) | Output (per 1M) |
|---|---|---|
| AWS Bedrock | $0.50 | $1.20 |
| OpenRouter | $0.12 | $0.80 |
| Vercel AI Gateway | $0.50 | $1.20 |
| Novita AI | $0.20 | $1.50 |
Pricing
| Type | Price (per 1M) |
|---|---|
| Input tokens | $0.12 |
| Output tokens | $0.80 |
Capabilities
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%.