
Qwen: Qwen3.8 Max (0902)
1 provider live- 1 live provider
- 100% uptime
- 2.07 s first token
- 45 tok/s output
Qwen3.8 Max 0902 is an updated snapshot of Qwen3.8 Max from Alibaba's Qwen team. It is a 2.4-trillion-parameter mixture-of-experts model that accepts text, image, and video input and returns text, with a 1M-token context window and reasoning enabled by default. This snapshot is post-trained for coding and agentic work, including multi-step software projects, multi-tool orchestration, and long-horizon task execution. It also targets chart reasoning, document parsing, and multimodal understanding over long documents and extended video. Tool calling, structured outputs, and configurable reasoning effort are supported.
- Context
- 1M
- tokens
- Max output
- 128K
- tokens
- Input
- $2.00
- per million tokens
- Output
- $6.00
- per million tokens
Providers
Ranked by price and speed. Requests go to the best healthy provider, then fail over down the list.| # | Provider | Input | Output | Cache read | Latency | Throughput | Uptime (3d) |
|---|---|---|---|---|---|---|---|
| 1 | Data policy not declared | $2.00 | $6.00 | $0.25 | 2.07 s | 45 tok/s | 100% |
Price history
No price changes since Oct 20, 2026.
- Alibaba$2.00 in, $6.00 out
Performance
Last 24 hours, from llm.buzz's test requestsThroughput (tok/s)
- Alibaba45 tok/s
Data table
| Provider | From (UTC) | p50 | p90 | p99 |
|---|---|---|---|---|
| Alibaba | Oct 26, 09:00 | 54 tok/s | 54 tok/s | 54 tok/s |
| Alibaba | Oct 26, 14:00 | 54 tok/s | 54 tok/s | 54 tok/s |
| Alibaba | Oct 26, 18:00 | 45 tok/s | 45 tok/s | 45 tok/s |
| Alibaba | Oct 26, 22:00 | 45 tok/s | 45 tok/s | 45 tok/s |
| Alibaba | Oct 27, 03:00 | 45 tok/s | 45 tok/s | 45 tok/s |
| Alibaba | Last 24 hours | 45 tok/s | 45 tok/s | 45 tok/s |
Latency (time to first token)
- Alibaba2.07 s
Data table
| Provider | From (UTC) | p50 | p90 | p99 |
|---|---|---|---|---|
| Alibaba | Oct 26, 09:00 | 1.20 s | 1.20 s | 1.20 s |
| Alibaba | Oct 26, 14:00 | 2.98 s | 2.98 s | 2.98 s |
| Alibaba | Oct 26, 18:00 | 2.98 s | 2.98 s | 2.98 s |
| Alibaba | Oct 26, 22:00 | 1.72 s | 1.72 s | 1.72 s |
| Alibaba | Oct 27, 03:00 | 2.07 s | 2.07 s | 2.07 s |
| Alibaba | Last 24 hours | 2.07 s | 2.98 s | 2.98 s |
Uptime
Last 72 hours, by hour- Up: 95% or more served
- Degraded: 85% to 95%
- Down: below 85%
- No data
- From llm.buzz's test requests
Questions
How much does Qwen: Qwen3.8 Max (0902) cost?
Qwen: Qwen3.8 Max (0902) costs $2.00 per million input tokens and $6.00 per million output tokens at Alibaba, the provider requests go to first, with cache reads at $0.25 per million tokens.
Do providers train on my prompts?
Each provider declares it, and the table above shows every declaration. You can limit a request to providers that keep nothing, or to providers in the EU.
Can I serve Qwen: Qwen3.8 Max (0902) myself?
Yes. Apply as a provider, add your endpoint and list this model at your price. It goes live once the automated check passes.
Similar models
Call it
import os
from openai import OpenAI
client = OpenAI(
base_url="https://api.llm.buzz/api/v1",
api_key=os.environ["LLM_BUZZ_KEY"],
)
reply = client.chat.completions.create(
model="qwen/qwen3.8-max-0902",
messages=[{"role": "user", "content": "Hello"}],
)import OpenAI from "openai";
const client = new OpenAI({
baseURL: "https://api.llm.buzz/api/v1",
apiKey: process.env.LLM_BUZZ_KEY,
});
const reply = await client.chat.completions.create({
model: "qwen/qwen3.8-max-0902",
messages: [{ role: "user", content: "Hello" }],
});curl https://api.llm.buzz/api/v1/chat/completions \
-H "Authorization: Bearer $LLM_BUZZ_KEY" \
-H "Content-Type: application/json" \
-d '{"model": "qwen/qwen3.8-max-0902",
"messages": [{"role": "user", "content": "Hello"}]}'Endpoints
POST /api/v1/chat/completionsPOST /api/v1/responsesPOST /api/v1/messagesAuthentication
Send your llm.buzz key as a Bearer token: Authorization: Bearer $LLM_BUZZ_KEY. Create keys in the console. The same key calls every model; each request pays the price of the provider that answered it.
More in Authentication and the API reference.
README
Qwen3.8 Max 0902 is an updated snapshot of Qwen3.8 Max from Alibaba's Qwen team. It is a 2.4-trillion-parameter mixture-of-experts model that accepts text, image, and video input and returns text, with a 1M-token context window and reasoning enabled by default. This snapshot is post-trained for coding and agentic work, including multi-step software projects, multi-tool orchestration, and long-horizon task execution. It also targets chart reasoning, document parsing, and multimodal understanding over long documents and extended video. Tool calling, structured outputs, and configurable reasoning effort are supported.
- Model ID
- qwen/qwen3.8-max-0902
- Takes
- Text, image
- Answers
- Text
- Context
- 1M tokens
- Max output
- 128K tokens
- Capabilities
- Tools, Caching, Structured outputs
- Parameters
- max_tokens, response_format, structured_outputs, temperature, tool_choice, tools
- Weights
- Closed
- On llm.buzz since
- Oct 20, 2026