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Qwen3 Max 2026 01-23
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Qwen3 Max 2026 01-23

qwen3-max-2026-01-23
Qwen
The snapshot version of the Tongyi Qianwen 3 series Max model is from January 23, 2026. By default, it does not require thinking, but thinking mode can be enabled through the enable_thinking parameter, as detailed in the code example. (After enabling thinking by passing parameters, it becomes: Qwen3-Max-Thinking). This model has a total parameter count exceeding one trillion (1T) and a pre-training data volume of up to 36T Tokens, making it the largest and most powerful reasoning model from Alibaba to date.

Pricing

TierPricingWeb SearchCache WriteCache Read
0<Input<=32K
$0.451$1.803
$0.000548/request$0.5635/M tokens$0.09016/M tokens
32K<Input<=128K
$0.902$3.608
$0.000548/request$1.1275/M tokens$0.1804/M tokens
128K<Input<=256K
$1.352$5.409
$0.000548/request$1.69025/M tokens$0.27044/M tokens

Input Modalities

  • Text

Output Modalities

  • Text

Capabilities

  • Thinking
  • Tool calling
  • Structured outputs

Providers

Alibaba Cloud alicloud-qwen3-max-2026-01-23
Pricing$0.451$1.803
Web Search$0.000548/request
Cache Write$0.5635/M tokens
Cache Read$0.09016/M tokens
Pricing$0.902$3.608
Web Search$0.000548/request
Cache Write$1.1275/M tokens
Cache Read$0.1804/M tokens
Pricing$1.352$5.409
Web Search$0.000548/request
Cache Write$1.69025/M tokens
Cache Read$0.27044/M tokens
Context252K
Max output32K
Latency-
Throughput-
Uptime
0.00% uptime 2 days ago
0.00% uptime yesterday
0.00% uptime today

Performance for qwen3-max-2026-01-23

Uptime is the percentage of requests that succeeded over the past 72 hours. AIHubMix continuously monitors every provider and automatically retries with the next-best provider when one returns an error or responds too slowly; Latency is total round-trip time (lower is better); Throughput is how fast the model writes (tokens per second, higher is better).

Uptime
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Latency
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Throughput
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Try this model

Python
import os
from openai import OpenAI

client = OpenAI(
    api_key=os.environ["AIHUBMIX_API_KEY"],
    base_url="https://aihubmix.com/v1",
)

response = client.chat.completions.create(
    model="qwen3-max-2026-01-23",
    messages=[
      {
        "role": "user",
        "content": "Hello, how are you?"
      }
    ],
    max_tokens=1024,
    stream=False,
)

print(response.choices[0].message.content)

Frequently asked questions

What is Qwen3 Max 2026 01-23?

The snapshot version of the Tongyi Qianwen 3 series Max model is from January 23, 2026. By default, it does not require thinking, but thinking mode can be enabled through the enable_thinking parameter, as detailed in the code example. (After enabling thinking by passing parameters, it becomes: Qwen3-Max-Thinking). This model has a total parameter count exceeding one trillion (1T) and a pre-training data volume of up to 36T Tokens, making it the largest and most powerful reasoning model from Alibaba to date.
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