'%20fill-rule='nonzero'%3e%3c/path%3e%3cdefs%3e%3clinearGradient%20id='lobe-icons-qwen-_R_0_'%20x1='0%25'%20x2='100%25'%20y1='0%25'%20y2='0%25'%3e%3cstop%20offset='0%25'%20stop-color='%236336E7'%20stop-opacity='.84'%3e%3c/stop%3e%3cstop%20offset='100%25'%20stop-color='%236F69F7'%20stop-opacity='.84'%3e%3c/stop%3e%3c/linearGradient%3e%3c/defs%3e%3c/svg%3e)
We moved our coding agent to the Qwen3 Coder 30B A3B Instruct API and the 256K context meant whole services fit in one call.
Qwen3 Coder 30B A3B Instruct is a Mixture-of-Experts coding model from Alibaba Qwen with 30B total and 3B active parameters, a 256K context, and strong agentic coding, generation, and review skills. Served on RouterBase over an OpenAI-compatible endpoint at $0.06 / 1M input and $0.23 / 1M output, 15% below list.
Input
Qwen3 Coder 30B A3B Instruct
Hi! I'm a helpful AI assistant. What can I do for you?
Qwen3 Coder 30B A3B Instruct API - MoE Coder, 256K Context
The Qwen3 Coder 30B A3B Instruct API runs a Mixture-of-Experts coder with 30B total, about 3B active parameters, and a 256K context.
The Qwen3 Coder 30B A3B Instruct API serves Alibaba Qwen3 Coder 30B A3B Instruct, a Mixture-of-Experts coding model with roughly 30 billion total parameters and only about 3 billion active per token. Sparse routing keeps inference fast and cheap while quality stays close to far larger dense models, and a 256K context window fits whole services, long diffs, and tool traces in one call. You reach the Qwen3 Coder 30B A3B Instruct API through RouterBase on the OpenAI chat-completions protocol, so existing clients work unchanged and one key covers the catalog.
Qwen3 Coder 30B A3B Instruct was tuned for agentic coding: generation and review, refactoring across files, multi-step tool use, and repository-scale questions. The Qwen3 Coder 30B A3B Instruct API bills $0.06 per 1M input tokens and $0.23 per 1M output tokens, 15% below the list rate of $0.07 in and $0.27 out, with no per-request fee. Streaming and standard OpenAI tool calls let you wire the Qwen3 Coder 30B A3B Instruct API into agent loops, IDE assistants, or CI pipelines without provider-specific glue.
What the Qwen3 Coder 30B A3B Instruct API gives you
Large-model code quality at small-model latency.
MoE built for code
The Qwen3 Coder 30B A3B Instruct API runs a Mixture-of-Experts network with 30B total and 3B active parameters, so you get large-model code quality at small-model latency and cost.
256K context
A 256K token window lets the model hold whole services, long diffs, and tool traces in a single call, so you rarely have to chunk inputs to the Qwen3 Coder 30B A3B Instruct API.
Agentic coding
Tuned for multi-step tool use, the Qwen3 Coder 30B A3B Instruct API plans, edits, and verifies code across files, which makes it a natural fit for coding agents.
Generation and review
Strong code generation, refactoring, and review make the Qwen3 Coder 30B A3B Instruct API a dependable backbone for IDE assistants and CI checks.
Tools and JSON
The Qwen3 Coder 30B A3B Instruct API returns function calls and structured JSON in the standard OpenAI schema, ready for agents and data pipelines.
Streaming, per token
The Qwen3 Coder 30B A3B Instruct API streams tokens as they generate and bills per token at $0.06 in and $0.23 out, 15% below list, with no request fee.
Get going
First call to the Qwen3 Coder 30B A3B Instruct API in three steps
Wire it once, then stream.
Create a key
One RouterBase key reaches the Qwen3 Coder 30B A3B Instruct API and every other model in the catalog, so there is nothing provider-specific to set up.
Point your client
Send any OpenAI client to routerbase.com/v1 with model=qwen/qwen3-coder-30b-a3b-instruct and a messages array; the Qwen3 Coder 30B A3B Instruct API answers on the same chat-completions shape.
Stream and watch usage
The model streams tokens as they generate and returns token usage per response, so cost and latency stay visible on every call to the Qwen3 Coder 30B A3B Instruct API.
Pay only for what you use
RouterBase passes through partner-tier pricing. Compared against the model's official published API rate.
Pay only for what you use
RouterBase passes through partner-tier pricing. Compared against the model's official published API rate.
| Resolution | RouterBase | Official | Save |
|---|---|---|---|
| Input (per 1M) | $0.060 | −14% | |
| Output (per 1M) | $0.230 | −15% |
One run at the default settings (Input (per 1M)) costs $0.060.With $1 you can run this model approximately 16 times.
Official price = Alibaba Qwen list rate for Qwen3 Coder 30B A3B Instruct ($0.07 per 1M input, $0.27 per 1M output). RouterBase serves the Qwen3 Coder 30B A3B Instruct API at $0.06 / $0.23, 15% below list.
Teams building on the Qwen3 Coder 30B A3B Instruct API
Coding agents and code review behind one call.
Sparse activation keeps latency low - the Qwen3 Coder 30B A3B Instruct API answers our IDE completions faster than the dense model it replaced.
Function calling in the standard schema meant our agent stack ran on the Qwen3 Coder 30B A3B Instruct API with zero custom parsing on day one.
At $0.06 in and $0.23 out the Qwen3 Coder 30B A3B Instruct API kept our per-token cost flat as CI traffic climbed through the quarter.
Streaming from the Qwen3 Coder 30B A3B Instruct API is smooth, so our editor renders suggestions token by token without extra buffering work.
We push code review and JSON extraction to the Qwen3 Coder 30B A3B Instruct API and the structured output comes back clean every time.
The 256K window let the Qwen3 Coder 30B A3B Instruct API read an entire service plus its tests in one pass, which sped up our reviews.
Switching from another provider to the Qwen3 Coder 30B A3B Instruct API was one string change - the OpenAI shape did not move at all.
Multi-file refactors are why we standardized on the Qwen3 Coder 30B A3B Instruct API; it plans edits across the repo and verifies them.
Qwen3 Coder 30B A3B Instruct API - common questions
What to know before you route traffic to it.
The Qwen3 Coder 30B A3B Instruct API is RouterBase hosted access to Alibaba Qwen3 Coder 30B A3B Instruct, a Mixture-of-Experts coding model, over an OpenAI-compatible endpoint.