Qwen · Frontier
Qwen3.8 Max 0902
Qwen3.8 Max 0902 is Alibaba's September 2 checkpoint of its flagship Qwen3.8 Max model for coding, knowledge work, data analysis, and long-running agent workflows. It supports text, image, video, PDF input, selectable thinking, tool calling, structured output, and a near-million-token context window.
- Reasoning
- Tools
- Vision
- Structured output
- PDF input
- Video input
- Input
- Text, Images, Video
- Output
- Text
- Reasoning effort
- none · low · medium · high · max
- Discovery tier
- Frontier
Pricing
USD per 1M tokens- Input
- $2.00
- Output
- $6.00
- Cache read
- $0.25
- Cache write
- $2.50
Reference prices as published by the model provider. API example
Specifications
- Context window
- 991.8K
- Max output
- 131.1K
Side by side
Qwen3.8 Max 0902 compared
Specifications, prices, speed and benchmark scores next to each other. Benchmarks below show every compared model too.
| Qwen3.8 Max 0902QwenThis model | Qwen3.6 Max PreviewQwenRemove | |
|---|---|---|
| Provider | Qwen | Qwen |
| Discovery tier | Frontier | Balanced |
| Added | Sep 2, 2026 | Apr 20, 2026 |
| Limits | ||
| Context window | 991.81KBest | 245.76K |
| Max output | 131.07KBest | 65.54K |
| Pricing, USD per 1M tokens | ||
| Input | $2.00 | $1.04Best |
| Output | $6.00Best | $6.24 |
| Cache read | $0.25 | — |
| Cache write | $2.50 | — |
| Performance | ||
| Request success (24h) | 97.3% | — |
| Capabilities | ||
| Reasoning | Yes | No |
| Tools | Yes | No |
| Vision | Yes | No |
| Structured output | Yes | No |
| PDF input | Yes | No |
| Video input | Yes | No |
| Reasoning effort | none, low, medium, high, max | — |
Public evaluations
Benchmarks
There are no public benchmark results for these models yet.
Live routing data
Performance and reliability
Recent averages across requests routed for this model. Your own speed depends on prompt length, reasoning effort and load.
- Prompt cache hits
- 88.0%
- About $0.46 per 1M input tokens with caching
- Request success (24h)
- 97.3%
- Reliable
Cache hits are the share of input tokens recently served from a prompt cache across all requests. They are not a forecast of your own hit rate.
- Healthy (98% or more)
- Degraded (90–98%)
- Down (under 90%)
- No requests
Developers
Use it through the API
Noumen’s API is OpenAI-compatible: any Chat Completions client works with a base URL and a key.
curl https://www.noumen.xyz/api/v1/chat/completions \
-H "Authorization: Bearer $NOUMEN_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "qwen/qwen3.8-max-0902",
"reasoning_effort": "medium",
"messages": [{ "role": "user", "content": "Explain this stack trace." }]
}'import os
from openai import OpenAI
client = OpenAI(base_url="https://www.noumen.xyz/api/v1", api_key=os.environ["NOUMEN_API_KEY"])
reply = client.chat.completions.create(
model="qwen/qwen3.8-max-0902",
messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)Qwen
Related models
Other Qwen models, starting with the same family.