Qwen3.6-Max-Preview is a proprietary frontier model from Alibaba Cloud built on a sparse mixture-of-experts architecture with approximately 1 trillion total parameters. It is optimized for agentic coding, tool use, and...
Context
262Ktokens
About 374 pages of text at once
Max output
66Ktokens
About 94 pages in one answer
Intelligence
28.4/ 100
Above 47% of the catalogue
Output speed
—
Not measured yet
First token
—
Not measured yet
Health, 30 days
81.38%
9 of 30 days without a fault
IranRouter’s measurements
Price & cost
Every rate in Rial. A request pays only for the tokens it actually uses.
| Input | 2,813,967 | IRR / 1M tokens |
|---|---|---|
| Output | 16,883,803 | IRR / 1M tokens |
| Reasoning tokensThe output rate | 16,883,803 | IRR / 1M tokens |
| Cache write, 5 minutes | 3,517,459 | IRR / 1M tokens |
Under these conditions, these rates replace the ones above:
Prompts over 128K tokens
| Input | 4,329,180 | IRR / 1M tokens |
|---|---|---|
| Output | 25,975,082 | IRR / 1M tokens |
| Cache write, 5 minutes | 5,411,475 | IRR / 1M tokens |
What would this model cost you a month?
Monthly cost
557.17MIRR
18.57M IRR a day, 9,286 IRR each request
The same work on peer models
30 days at today’s rate.
Rial price over 90 days
It moves with the exchange rate; the steps are the maker’s own price changes. Built at today’s margin, so approximate if the margin changed in the window.
Performance, 30 days
Health is measured by IranRouter itself: a day counts as healthy unless requests to this model failed on our side or it could not be served. First token and speed come from IranRouter’s traffic, and from public market statistics for this model on days without enough of it.
Daily health81.38%
Time to first token1.26 s
Output speed62 tokens/s
Place in the market
By usage across the global model market.
This model isn’t ranked yet.
Among its peers
Cost of one message against intelligence; this model is highlighted.
Cost of one message, IRR (log scale)
Capabilities
- Input
- Text
- Output
- Text
Parameters it accepts
frequency_penaltyinclude_reasoninglogprobsmax_tokenspresence_penaltyreasoningresponse_formatseedstopstructured_outputstemperaturetool_choicetoolstop_ktop_logprobstop_pOther benchmarks
Start in a minute
The official OpenAI and Anthropic SDKs; only the address and the key change.
# pip install openai from openai import OpenAI client = OpenAI( base_url="https://iranrouter.com/v1", api_key="ir-...", ) r = client.chat.completions.create( model="qwen/qwen3.6-max-preview", messages=[{"role": "user", "content": "Hello, introduce yourself"}], ) print(r.choices[0].message.content)
Peer models
Its family and models with a close score; the last column compares one message’s cost with this model.
| Model | Against this model | ||||
|---|---|---|---|---|---|
| Z.ai: GLM 5.3 FlashZ.ai | 292 | 27.8 | 77 | 1M | 98% cheaper |
| Google: Gemini 3.8 FlashGoogle | 9,234 | 30.5 | 74 | 1M | 34% cheaper |
| Z.ai: GLM 5.3Z.ai | 2,298 | 31.7 | 82 | 1M | 84% cheaper |
| DeepSeek: DeepSeek V4 Pro 0813DeepSeek | 11,510 | 23.1 | 52 | 1M | 18% cheaper |
| SpaceXAI: Grok 4.7xAI | 19,152 | 35 | 71 | 500K | 36% dearer |
Technical specs
- ID
qwen/qwen3.6-max-preview- Maker
- Qwen
- Tokenizer
- Qwen
- Released
- Apr 27, 2026
- Added to IranRouter
- Aug 19, 2026
- Context
- 262,144 tokens
- Max output
- 65,536 tokens
Scores by Artificial Analysis




