qwen3.8-maxAlibaba (Qwen)
- endpoints
- 3
- regions
- 1
- api
- chat
- released
- August 2026
capabilities 6/8
| # | flags | ||||||
|---|---|---|---|---|---|---|---|
| 1 | Global | 1.0M | $2.00 | $6.00 | $0.25 | zdr | |
| 2 | Global | 1M | $2.00 | $6.00 | $0.25 | zdr | |
| 3 | Global | 1M | $2.00 | $6.00 | $0.25 | zdr |
no measured traffic for this model yet. the endpoints table above carries provider pricing
| eval | Score as a share of 100 | /100 |
|---|---|---|
| GPQA Diamond | 92.7 | |
| Coding Index | 71.8 | |
| SciCode | 53.2 | |
| Humanity's Last Exam | 43.0 | |
| Intelligence Index | 40.3 | |
| 5 evals | mean | 60.2 |
Scores from Artificial Analysis and public leaderboards, normalised to 100. Bar colour is the band, not the rank: green 80 and up, blue 55 and up, amber 30 and up. Benchmarks measure narrow skills, so test on your own workload before committing. Released 2026-08-03.
qwen3.8-maxrequesty routes this id across every provider serving qwen3.8-max, picking on price and health and failing over automatically. the id stays valid when a provider changes underneath it
Base url is https://router.requesty.ai/v1 for every id here. One key reaches the whole catalog.
from openai import OpenAI client = OpenAI( api_key="YOUR_REQUESTY_API_KEY", base_url="https://router.requesty.ai/v1",) response = client.chat.completions.create( model="qwen3.8-max", messages=[ {"role": "user", "content": "Explain quantum computing in one paragraph."}, ],) print(response.choices[0].message.content)
Change the base url, use your Requesty key, set the model to any id in the call pane. Existing OpenAI SDK code needs no other edit, and the same key reaches every other model in the catalog, so switching later is a one-parameter change. Browse all models
Qwen3.8-Max is Alibaba's 2.4 trillion parameter MoE flagship, delivering a comprehensive leap in coding and professional work. It autonomously codes and delivers complete projects spanning 10+ days, and handles hundreds of specialized tasks across legal, financial, design, and other professional domains, producing production grade results end to end in a single conversation. Native visual understanding runs through the full cycle of planning, execution, and verification, enabling deep semantic analysis of ultra long documents and extended video content. In long horizon tasks it plans autonomously, iterates through closed feedback loops, and continuously evolves.
questions 6
Which providers serve qwen3.8-max?
How much does qwen3.8-max cost?
Is qwen3.8-max open weights?
What is the context window of qwen3.8-max?
How do I use qwen3.8-max with the OpenAI SDK?
Should I call qwen3.8-max by its managed id or a provider id?
more from alibaba (qwen) 6
| model | context | from /M | providers |
|---|---|---|---|
| qwen3.8-2.4t-a95b | 1M | $2.50 | 1 |
| qwen3.8-flash-next | 262K | $0.20 | 1 |
| qwen3.8-flash | 1.0M | $0.16 | 1 |
| qwen3.7-plus | 1.0M | $0.32 | 2 |
| qwen3.7-max | 1.0M | $2.50 | 1 |
| qwen3.6-plus | 1M | $0.50 | 1 |
route qwen3.8-max through one endpoint
One key for 3 providers on this model and 600+ others. No markup on provider prices, automatic failover, caching built in. Weekly aggregates in the measured pane come from production traffic routed through Requesty, one line per provider on a shared axis. Methodology
