Qwen3 Coder Plus API1M context
Qwen3 Coder Plus is Alibaba's proprietary version of the Open Source Qwen3 Coder 480B A35B.
Pricing & specs mirror our live pricing as of July 2026 (pay-as-you-go).
What is Qwen3 Coder Plus?
Qwen3 Coder Plus is Alibaba's proprietary version of the Open Source Qwen3 Coder 480B A35B. It is a powerful coding agent model specializing in autonomous programming via tool calling and...
Qwen3 Coder Plus on the release timeline
Qwen3 Coder Plus pricing
Pay-as-you-go on DataLLM Lab — these are our live list prices (identical to the pricing page):
| Model | Input / 1M | Output / 1M | Cache read | Cache write | Context |
|---|---|---|---|---|---|
| Qwen3 Coder Plus | $0.65 | $3.25 | $0.13 | $0.81 | 1M |
On output price, Qwen3 Coder Plus is cheaper than 32% of the 309 models in the catalog.
What Qwen3 Coder Plus costs per month
| Workload | Tokens in / out (monthly) | Est. cost |
|---|---|---|
| Support chatbot | 40M / 12M | $65.00 |
| RAG / knowledge base | 200M / 20M | $195 |
| Coding agent | 80M / 25M | $133 |
| Batch extraction | 150M / 8M | $124 |
| Content generation | 20M / 40M | $143 |
Estimate your own monthly cost
Cost = input price × input volume + output price × output volume. The same five workloads run on every model page, so any two compare directly.
Qwen3 Coder Plus vs alternatives
| Model | Input / 1M | Output / 1M | Context | Our test |
|---|---|---|---|---|
| Qwen3 Coder Plus | $0.65 | $3.25 | 1M | — |
| Qwen3.7 Max | $1.25 | $3.75 | 1M | — |
| Qwen3 Max | $0.78 | $3.90 | 262K | — |
| Qwen3 Max Thinking | $0.78 | $3.90 | 262K | — |
| Nova Pro 1.0 | $0.80 | $3.20 | 300K | — |
| Kimi K2.6 | $0.55 | $3.20 | 262K | — |
When not to use Qwen3 Coder Plus
- It is served by a single provider, so there is less failover headroom during an outage.
Specs
| Model ID | qwen/qwen3-coder-plus |
| Modality | text->text (input: text) |
| Context window | 1,000,000 tokens |
| Max output | 65,536 tokens |
| Tool / function calling | ✅ Yes |
| Structured output (JSON) | ✅ Yes |
| Released | 2025-09-23 |
| Knowledge cutoff | 2025-06-30 |
| Open weights | — (hosted API only) |
How to call Qwen3 Coder Plus
from openai import OpenAI
client = OpenAI(base_url="https://api.datallmlab.com/v1", api_key="YOUR_DATALLM_LAB_KEY")
resp = client.chat.completions.create(
model="qwen/qwen3-coder-plus",
messages=[{"role": "user", "content": "Hello"}],
# supports tools=[...] and tool_choice
)
print(resp.choices[0].message.content)curl https://api.datallmlab.com/v1/chat/completions \
-H "Authorization: Bearer YOUR_KEY" \
-H "Content-Type: application/json" \
-d '{"model":"qwen/qwen3-coder-plus","messages":[{"role":"user","content":"Hello"}]}'import OpenAI from "openai";
const client = new OpenAI({ baseURL: "https://api.datallmlab.com/v1", apiKey: process.env.DATALLM_KEY });
const r = await client.chat.completions.create({
model: "qwen/qwen3-coder-plus",
messages: [{ role: "user", content: "Hello" }],
});
console.log(r.choices[0].message.content);The same key routes Qwen3 Coder Plus and 300+ other models — switch models by changing one string. How OpenAI-compatible APIs work.
Prompting tips for Qwen3 Coder Plus
- Be explicit and show the shape of the answer. Spell out format, tone and constraints up front, and include one short example of the output you want — Qwen3 Coder Plus follows concrete instructions better than abstract ones.
- Huge 1M context — but anchor the ask. You can paste whole documents or codebases; models attend most to the start and end, so put the key instruction at the top and restate it after long inputs.
- Give it real tools. Pass a
tools=[...]schema instead of asking it to "pretend" — let Qwen3 Coder Plus emit tool calls, execute them, and feed results back for the next turn. - Constrain JSON with a schema. Use
response_format/ structured outputs rather than "reply in JSON" to get valid, parseable objects every time.
Tips are derived from Qwen3 Coder Plus's actual capabilities — context window, tool & JSON support, modality and price tier — not generic advice.
Open-source tools for Qwen3 Coder Plus
Popular open-source frameworks and agents to build with Qwen3 Coder Plus over the API — star counts pulled from GitHub (July 2026).
Listed by GitHub stars; inclusion is by ecosystem relevance (agent frameworks, SDKs and gateways), not affiliation. Stars change — see each repo for current numbers.
Migrating to Qwen3 Coder Plus
Coming from OpenAI or another gateway? On an OpenAI-compatible setup the only changes are base_url → https://api.datallmlab.com/v1 and model → qwen/qwen3-coder-plus. Messages, streaming, tool calls and the rest of your code stay the same. Routing & failover guide.
Rate limits & reliability
Rate limits here are the DataLLM Lab gateway's, not the upstream vendor's. On 429 (rate limited) or 503 (provider busy), retry with exponential backoff. See the error-code guide and failover setup.
Related reading
Call Qwen3 Coder Plus with one key
300+ models behind one OpenAI-compatible endpoint — better prices, better uptime, no subscriptions.
Get an API keyCompare pricingFrequently asked questions
What is Qwen3 Coder Plus?
Qwen3 Coder Plus is Alibaba's proprietary version of the Open Source Qwen3 Coder 480B A35B. It accepts text input with a 1M-token context window and was released on 2025-09-23. On DataLLM Lab it is callable through one OpenAI-compatible endpoint.
How much does Qwen3 Coder Plus cost?
On DataLLM Lab it is $0.65 per 1M input tokens and $3.25 per 1M output tokens, with cached input at $0.13/1M — cheaper than about 32% of the 309-model catalog on output price. Pay-as-you-go, no subscription.
What is the context window of Qwen3 Coder Plus?
1M tokens, with up to 66K max output tokens.
Is Qwen3 Coder Plus open source?
No open weights are published — it is available through hosted API access only.
How do I call the Qwen3 Coder Plus API?
Point any OpenAI SDK at https://api.datallmlab.com/v1 and set model to "qwen/qwen3-coder-plus". One DataLLM Lab key routes this model and 300+ others; no code changes beyond the base URL and model string.
What are good alternatives to Qwen3 Coder Plus?
Close options by price and capability include Qwen3.7 Max, Qwen3 Max, Qwen3 Max Thinking — all callable with the same DataLLM Lab key.