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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 modelGPT 5.1 CodexOpenAIRemove
ProviderQwenOpenAI
Discovery tierBalancedBalanced
AddedJan 26, 2026Nov 13, 2025
Limits
Context window256K400KBest
Max output32.77K128KBest
Average output—22 tokens
Pricing, USD per 1M tokens
Input$1.20Best$1.25
Output$6.00Best$10.00
Cache read—$0.13
Benchmark indexes
Intelligence Index—23.7
Math Index—95.7
Capabilities
ReasoningNoYes
VisionNoYes
Reasoning effort——

Public evaluations

Benchmarks

Independent evaluation results, with how each score ranks among the models in the Noumen catalog.

  • Qwen3 Max 2026-01-23
  • GPT 5.1 Codex

Intelligence Index

  • Qwen3 Max 2026-01-23—
  • GPT 5.1 Codex23.7
3.8Catalog models by score55.1

Indexes

  • Math Index

    Composite of the math evaluations

    • Qwen3 Max 2026-01-23: —
    • GPT 5.1 Codex: 95.7

Document reasoning

  • AA-LCRv1.1

    Reasoning across long documents

    • Qwen3 Max 2026-01-23: —
    • GPT 5.1 Codex: 69.3%

Reasoning and knowledge

  • Humanity’s Last Exam

    Expert-level questions across academic fields

    • Qwen3 Max 2026-01-23: —
    • GPT 5.1 Codex: 25.7%

  • GPQA Diamond

    Graduate-level science questions

    • Qwen3 Max 2026-01-23: —
    • GPT 5.1 Codex: 86.0%

  • MMLU-Pro

    Multi-subject knowledge and reasoning

    • Qwen3 Max 2026-01-23: —
    • GPT 5.1 Codex: 86.0%

  • IFBench

    Following precise output instructions

    • Qwen3 Max 2026-01-23: —
    • GPT 5.1 Codex: 70.0%

Coding

  • LiveCodeBench

    Recent competitive programming problems

    • Qwen3 Max 2026-01-23: —
    • GPT 5.1 Codex: 84.9%

Math

  • AIME 2025

    Competition mathematics, 2025 problems

    • Qwen3 Max 2026-01-23: —
    • GPT 5.1 Codex: 95.7%

Legacy evaluations

  • Terminal-Bench Hard

    Earlier terminal task suite

    • Qwen3 Max 2026-01-23: —
    • GPT 5.1 Codex: 34.8%

  • τ²-Bench Telecom

    Tool use in a customer-support simulation

    • Qwen3 Max 2026-01-23: —
    • GPT 5.1 Codex: 83.0%

  • AA-LCR (unversioned)

    Long-context reasoning, earlier grading

    • Qwen3 Max 2026-01-23: —
    • GPT 5.1 Codex: 69.3%

Scores from Artificial Analysis, updated Oct 26, 2026. Artificial Analysis

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)

Qwen

Other Qwen models, starting with the same family.