Qwen 3.8 Max API: Endpoint & 15% Discount
Up to 15%Qwen 3.8 Max brings Qwen conversational intelligence to LLM.API so teams can ship assistants and agents without juggling multiple vendor SDKs.
What is Qwen 3.8 Max?
On LLM.API, Qwen 3.8 Max (qwen3.8-max) serves as a Qwen conversational model for products that need 1M tokens context windows and predictable token pricing. 2.4-trillion-parameter MoE flagship for coding, professional work, multimodal understanding, and long-horizon agentic workflows.
Can you self-host Qwen 3.8 Max?
No. We found no public weights for Qwen 3.8 Max 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, up to 15% below list price.
Providers
LLM.API routes Qwen 3.8 Max 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 $2; out $6 per 1M tokens | 1M tokens | vision, tools, streaming, reasoning, web search, JSON, structured | |
| in $2; out $6 per 1M tokens | 1M tokens | vision, tools, streaming, reasoning, web search, JSON, structured |
Prices and availability from the LLMAPI catalogue, updated nightly. Last updated 11 Oct 2026.
Try this model
Test Qwen 3.8 Max right here — free to start.
Suggestions for your first prompt
Code snippet
Call Qwen 3.8 Max 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 qwen3.8-max 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": "qwen3.8-max",
"messages": [
{"role": "user", "content": "Give me three crisp launch checklist items."}
],
"reasoning_effort": "medium"
}'from openai import OpenAI
client = OpenAI(
api_key="YOUR_LLMAPI_KEY",
base_url="https://api.llmapi.ai/v1",
)
resp = client.chat.completions.create(
model="qwen3.8-max",
messages=[
{"role": "system", "content": "You are a precise product assistant."},
{"role": "user", "content": "Give me three crisp launch checklist items."},
],
reasoning_effort="medium",
)
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: "qwen3.8-max",
messages: [
{ role: "user", content: "Give me three crisp launch checklist items." },
],
});
console.log(resp.choices[0].message.content);stream = client.chat.completions.create(
model="qwen3.8-max",
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": "qwen3.8-max",
"messages": [
{"role": "system", "content": "You are a precise product assistant."},
{"role": "user", "content": "Give me three crisp launch checklist items."}
],
"reasoning_effort": "medium"
}ENDPOINTS
Supported endpoints & features
Base URL https://api.llmapi.ai/v1 · model ID qwen3.8-max · 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 | Supported | response_format: {"type": "json_schema", …} |
| Streaming | Supported | stream: true |
| Vision (image input) | Supported | image_url content parts |
| Web search | Supported | web_search |
| Reasoning effort | low · medium · xhigh | reasoning_effort: "medium" default medium |
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.
Qwen 3.8 Max in production
What the model is good at.
Code assistance
Helps write, explain, refactor, and debug application code across common languages. Grounded in the model's chat role rather than generic chat claims.
Safety-aware replies
Supports product policies with refusals and cautious handling of sensitive topics. Tuned to how teams typically call Qwen 3.8 Max.
Analytical writing
Produces clear analyses, comparisons, and decision memos from messy source material. Tuned to how teams typically call Qwen 3.8 Max.
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.
Tool-ready dialogue
Works well in agent loops that call functions, browsers, or retrieval APIs.
What you get when you call Qwen 3.8 Max through LLM.API.
Unified AI Routing
Production: Reach Qwen 3.8 Max and sibling models through one OpenAI-compatible endpoint.
One endpoint, every model.Cost Control
Compare provider price points and keep spend visible as you scale Qwen 3.8 Max.
More performance, less spend.Reliability Layer
Retry and route across configured providers when a single upstream blips.
Never go dark on users.Observability
Practical: Trace prompts, tokens, and errors for Qwen 3.8 Max alongside the rest of your stack.
See every token, everywhere.Drop-in SDKs
Practical: Keep using familiar OpenAI client patterns with base URL https://api.llmapi.ai/v1.
Think tasks, not models.Model Breadth
Swap Qwen 3.8 Max 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 a general-purpose text model for assistants, agents, or content workflows (Qwen 3.8 Max)
- You need provider failover options exposed for this model id (Qwen 3.8 Max)
- Your prompts benefit from the model's family strengths (reasoning, speed, or cost) (Qwen 3.8 Max)
- You want OpenAI-compatible chat completions through a single LLM.API key (Qwen 3.8 Max)
Avoid if...
- Your use case depends on unpublished proprietary benchmarks not listed here
- You need guaranteed real-time hard latency SLAs without benchmarking the provider
- You require on-prem only deployment with no cloud inference
- You need pure embedding, OCR, or media generation instead of chat
BENCHMARKS
Qwen 3.8 Max benchmark scores
Intelligence index
Scale: 0-100 index points
Output speed
Scale: 0-400 tokens per second
Reference price per 1M tokens
Bars compare input and output list prices for this model.
Higher is better. The median covers every model tracked by Artificial Analysis.
Measured throughput; the full dial is 300 tokens per second.
Provider list prices, before the LLM.API discount.
Independent scores published by Artificial Analysis (source). Reference prices are provider list prices, not LLM.API pricing.
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 Qwen 3.8 Max.
- 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
Does Qwen 3.8 Max support streaming?
Yes—at least one listed provider advertises streaming.
Which providers serve Qwen 3.8 Max?
LLM.API currently lists: alibaba, novita. Availability can vary by region and account.
Where is the canonical page for Qwen 3.8 Max?
https://llmapi.ai/models/alibaba-qwen3-8-max/
What modalities does Qwen 3.8 Max support?
Qwen 3.8 Max accepts text, image, video and produces text according to its architecture metadata on LLM.API.
Can I use tools or structured outputs with Qwen 3.8 Max?
Tool and/or structured-output flags appear on one or more providers for this model—confirm in the providers table.
What are limitations of Qwen 3.8 Max?
Like other API models, Qwen 3.8 Max can be wrong, incomplete, or uneven on edge cases. Validate outputs for high-stakes use. Media/OCR/STT models additionally depend on input quality.
When should I choose Qwen 3.8 Max?
You want OpenAI-compatible chat completions through a single LLM.API key — especially when you specifically need Qwen 3.8 Max.
What is Qwen 3.8 Max?
2.4-trillion-parameter MoE flagship for coding, professional work, multimodal understanding, and long-horizon agentic workflows. On LLM.API it is addressed as `qwen3.8-max`.
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