QwQ Plus API: Endpoint & Pricing
QwQ Plus brings Alibaba conversational intelligence to LLM.API so teams can ship assistants and agents without juggling multiple vendor SDKs.
What is QwQ Plus?
On LLM.API, QwQ Plus (qwq-plus) serves as a Alibaba conversational model for products that need 131K tokens context windows and predictable token pricing. qwq-plus provided by alibaba. It is wired for API access through LLM.API with OpenAI-compatible patterns.
Can you self-host QwQ Plus?
No. We found no public weights for QwQ Plus on Hugging Face, so there is nothing to download, quantize or serve on your own GPUs: no VRAM budget, no vLLM or GGUF build to plan for. The only way to run it is over an API.
Skip the deploy — use LLM.API as your endpoint
No GPUs, no quantization trade-offs. Same model, OpenAI-compatible, with custom volume discounts on request.
Providers
LLM.API routes QwQ Plus to the providers below, with discounted effective rates versus list price.
List price by provider
InputOutputProvider list prices; the LLM.API discount applies on top.
| Provider | Pricing | Context | Capabilities |
|---|---|---|---|
| in $0.8; out $2.4 per 1M tokens | 131K tokens | tools, streaming, reasoning |
Prices and availability from the LLMAPI catalogue, updated nightly. Last updated 11 Oct 2026.
Try this model
Test QwQ Plus right here — free to start.
Suggestions for your first prompt
Code snippet
Call QwQ Plus through the OpenAI-compatible API — POST /v1/chat/completions.
Switching from OpenAI? Change 2 lines.
- base_url="https://api.openai.com/v1"
- api_key="YOUR_OPENAI_KEY"
+ base_url="https://api.llmapi.ai/v1"
+ api_key="YOUR_LLMAPI_KEY"Everything else stays the same — SDK, message format, tools, streaming. Set model to qwq-plus and the call runs unchanged.
curl https://api.llmapi.ai/v1/chat/completions \
-H "Authorization: Bearer $LLMAPI_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "qwq-plus",
"messages": [
{"role": "user", "content": "Give me three crisp launch checklist items."}
]
}'from openai import OpenAI
client = OpenAI(
api_key="YOUR_LLMAPI_KEY",
base_url="https://api.llmapi.ai/v1",
)
resp = client.chat.completions.create(
model="qwq-plus",
messages=[
{"role": "system", "content": "You are a precise product assistant."},
{"role": "user", "content": "Give me three crisp launch checklist items."},
],
)
print(resp.choices[0].message.content)import OpenAI from "openai";
const client = new OpenAI({
apiKey: process.env.LLMAPI_KEY,
baseURL: "https://api.llmapi.ai/v1",
});
const resp = await client.chat.completions.create({
model: "qwq-plus",
messages: [
{ role: "user", content: "Give me three crisp launch checklist items." },
],
});
console.log(resp.choices[0].message.content);stream = client.chat.completions.create(
model="qwq-plus",
messages=[{"role": "user", "content": "Write a haiku about latency."}],
stream=True,
)
for chunk in stream:
delta = chunk.choices[0].delta.content
if delta:
print(delta, end="", flush=True){
"model": "qwq-plus",
"messages": [
{"role": "system", "content": "You are a precise product assistant."},
{"role": "user", "content": "Give me three crisp launch checklist items."}
]
}ENDPOINTS
Supported endpoints & features
Base URL https://api.llmapi.ai/v1 · model ID qwq-plus · OpenAI-compatible.
POST /v1/chat/completionsChat Completions — supported
| Feature | Status | How to set it |
|---|---|---|
| Function calling (tools) | Supported | tools, tool_choice |
| Parallel tool calls | Not supported | parallel_tool_calls |
| JSON mode | Supported | response_format: {"type": "json_object"} |
| Structured outputs | Not supported | response_format: {"type": "json_schema", …} |
| Streaming | Supported | stream: true |
| Vision (image input) | Not supported | image_url content parts |
| Web search | Not supported | web_search |
ERRORS
Errors & fallback routing
| Code | What it means | What to do |
|---|---|---|
401 | Missing or invalid API key. | Send Authorization: Bearer YOUR_LLMAPI_KEY and check the key is active. |
429 | Rate limited, or the upstream provider is throttling the request. | Back off and retry with jitter; the gateway also retries the request on another provider where one is available. |
5xx | Upstream provider error or timeout. | Retry; fallback routing sends the retry to the next healthy provider for this model. |
When a provider fails or throttles, the request is routed to the next provider serving this model — the ones listed in the providers table above.
QwQ Plus in production
What the model is good at.
Structured outputs
Can produce JSON-friendly or schema-oriented responses when prompted carefully. Grounded in the model's chat role rather than generic chat claims.
Multilingual drafting
Drafts and translates professional content across major business languages. Relevant for `qwq-plus` workloads on LLM.API.
Long-context synthesis
Summarizes and cross-references information across large prompts when context allows. Grounded in the model's chat role rather than generic chat claims.
Instruction following
Follows detailed system and user instructions with strong adherence to format and tone.
Safety-aware replies
Supports product policies with refusals and cautious handling of sensitive topics. Relevant for `qwq-plus` workloads on LLM.API.
What you get when you call QwQ Plus through LLM.API.
Unified AI Routing
Production: Reach QwQ Plus and sibling models through one OpenAI-compatible endpoint.
One endpoint, every model.Cost Control
Practical: Compare provider price points and keep spend visible as you scale QwQ Plus.
More performance, less spend.Reliability Layer
Production: Retry and route across configured providers when a single upstream blips.
Never go dark on users.Observability
Trace prompts, tokens, and errors for QwQ Plus alongside the rest of your stack.
See every token, everywhere.Drop-in SDKs
Keep using familiar OpenAI client patterns with base URL https://api.llmapi.ai/v1.
Think tasks, not models.Model Breadth
Production: Swap QwQ Plus for chat, media, or embedding alternatives without rewriting auth.
Scale from 1 to millions.
When to Use — When NOT to Use
Use it if...
- You need provider failover options exposed for this model id (QwQ Plus)
- You need a general-purpose text model for assistants, agents, or content workflows (QwQ Plus)
- You want OpenAI-compatible chat completions through a single LLM.API key (QwQ Plus)
- Your prompts benefit from the model's family strengths (reasoning, speed, or cost) (QwQ Plus)
Avoid if...
- You need pure embedding, OCR, or media generation instead of chat
- You require on-prem only deployment with no cloud inference
- You need guaranteed real-time hard latency SLAs without benchmarking the provider
- Your use case depends on unpublished proprietary benchmarks not listed here
COMMUNITY
What developers say about Qwen models
Summarised from publicly published developer and community reviews of this model family. Opinions are the sources’, not LLM.API’s, and may not be specific to QwQ Plus.
- Qwen is widely described as the strongest open-weight coding family, with reviewers testing whether local Qwen can replace hosted frontier assistants for agentic coding.
- Benchmarks published by developer blogs show production-usable code and solid architectural reasoning, especially in the Coder variants.
- The honest verdict in most write-ups: excellent value and privacy, still behind the top proprietary models on the hardest long-horizon tasks.
SOURCES
Frequently Asked Questions
Can I use tools or structured outputs with QwQ Plus?
Tool and/or structured-output flags appear on one or more providers for this model—confirm in the providers table.
How is QwQ Plus priced on LLM.API?
Listed pricing metadata shows: In $0.8 / 1M tokens · Out $2.4 / 1M tokens. LLM.API may offer discounted effective rates (illustrative ~30% callout vs list when available).. Confirm live rates in the LLM.API dashboard or docs before production budgeting.
What is QwQ Plus?
qwq-plus provided by alibaba. It is wired for API access through LLM.API with OpenAI-compatible patterns. On LLM.API it is addressed as `qwq-plus`.
Where is the canonical page for QwQ Plus?
https://llmapi.ai/models/alibaba-qwq-plus/
Does QwQ Plus support streaming?
Yes—at least one listed provider advertises streaming.
Which providers serve QwQ Plus?
LLM.API currently lists: alibaba. Availability can vary by region and account.
What is the context length for QwQ Plus?
Reported context for QwQ Plus is 131K tokens. Always verify the active provider row if multiple providers are listed.
What modalities does QwQ Plus support?
QwQ Plus accepts text and produces text according to its architecture metadata on LLM.API.
Is QwQ Plus a chat model?
Yes—QwQ Plus is exposed as a chat/completions-style endpoint on LLM.API.
How do I call QwQ Plus via API?
Send OpenAI-compatible requests to https://api.llmapi.ai/v1 with model "qwq-plus" and your LLM.API key. See the code snippet on this page.
COMPARE
Competitive Models
Qwen VL Max
Input$0.8 / 1MOutput$3.2 / 1MList price per 1M tokens.
$0.8 in / $3.2 out per 1M tokens, 131,072 context — the closest current alternative to QwQ Plus.
Llama 3.1 70B Instruct
Input$0.72 / 1MOutput$0.72 / 1MList price per 1M tokens.
$0.72 in / $0.72 out per 1M tokens, 128,000 context — the closest current alternative to QwQ Plus.
GLM-4.5
Input$0.6 / 1MOutput$2.2 / 1MList price per 1M tokens.
$0.6 in / $2.2 out per 1M tokens, 128,000 context — the closest current alternative to QwQ Plus.
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