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Qwen · Balanced

Qwen3 Max 2026-01-23

Added Jan 26, 2026

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Use in the app

Qwen3 Max is Alibaba's flagship Qwen 3 reasoning model with native tool use (web search, web extractor, code interpreter) and a 256K context window.

Input
Text
Output
Text
Discovery tier
Balanced

Pricing

USD per 1M tokens
Input
$1.20
Output
$6.00

Reference prices as published by the model provider. API example

Specifications

Context window
256K
Max output
32.8K

Side by side

Qwen3 Max 2026-01-23 compared

Specifications, prices, speed and benchmark scores next to each other. Benchmarks below show every compared model too.

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Qwen3 Max 2026-01-23QwenThis modelQwen3.8 MaxQwenRemove
ProviderQwenQwen
Discovery tierBalancedFrontier
AddedJan 26, 2026Aug 3, 2026
Limits
Context window256K991KBest
Max output32.77K65.54KBest
Pricing, USD per 1M tokens
Input$1.20Best$2.00
Output$6.00$6.00Best
Cache read—$0.25
Cache write—$2.50
Performance
Request success (24h)—98.7%
Capabilities
ToolsNoYes
VisionNoYes
Structured outputNoYes
PDF inputNoYes
Video inputNoYes
Reasoning effort——

Public evaluations

Benchmarks

There are no public benchmark results for these models yet.

Developers

Use it through the API

Noumen’s API is OpenAI-compatible: any Chat Completions client works with a base URL and a key.

Read the quickstart
curl https://www.noumen.xyz/api/v1/chat/completions \
  -H "Authorization: Bearer $NOUMEN_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "qwen/qwen3-max-2026-01-23",
    "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-max-2026-01-23",
    messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)

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