Qwen: Qwen3 Max

Public pricingIntelligence 77/100Large memoryTool-Nutzung

Qwen: Qwen3 Max ist ein Text-Modell für Schlussfolgern und Problemlösen. Es verbindet tiefes Schlussfolgern und Planen, einen Kontext von 262K tokens und ein ausgewogen-Profil für zuverlässige Arbeit über reasoning, analysis, and hard problem solving. Es ist eine praktische Wahl, wenn Qualität, Tempo und Kosten zählt, besonders für Teams mit Bedarf an stabilen Ausgaben,

Input

$0.78/1M

Output

$3.90/1M

Cached

$0.16/1M

Batch

$0.60/1M

Calculate your Qwen3 Max bill.

Set your workload — see cost at your exact volume.

What would Qwen3 Max cost you?

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1,00010,00050,000250,0001M10M

Technical specifications

Qwen3 Max at a glance.

Memory

262,144

tokens

Max reply

32,768

tokens

Memory tier

Large

an entire book or large codebase

Tokenizer

qwen3

Released

Sep 2025

Training cutoff

Jun 2025

Availability

Public pricing

Status

active

Benchmarks

Quality benchmarks

Independent evaluations from public leaderboards. Higher is better.

  • swe_bench_verified

    69.6

  • aime_2025

    81.6

  • livecodebench

    69

  • gpqa_diamond

    72.6

What it can do

Capabilities & limits.

  • Understands images
  • Deep step-by-step thinking
  • Uses tools / calls functions
  • Strict JSON output
  • Streams replies
  • Fine-tunable on your data

When to pick Qwen3 Max

  • Agentic workflows that call tools or APIs.
  • Long documents, full codebases, or extensive chat histories.
  • High-volume workloads where unit cost matters.

When to look elsewhere

  • Your workload involves images — pick a vision-capable model instead.

Alternatives

Similar models to compare.

FAQ

Qwen3 Max — the questions we see most.

Pricing, capabilities, alternatives — generated from the same data that powers the calculator above.

Get instant answers from our AI agent

At a typical workload of 50,000 conversations a month with 1,500-token prompts and 800-token replies, Qwen3 Max costs roughly $215 per month. Input is $0.78 /1M tokens and output is $3.90 /1M tokens.
Qwen3 Max has a 262,144-token context window (large memory — an entire book or large codebase). That means you can fit about 49,152 words of input and history in a single call.
Beyond text generation, Qwen3 Max supports calling functions / tools, strict JSON output, fine-tuning on your own data. It streams replies by default.
Qwen3 Max was released in September 2025, with training data cut off around June 2025.
Models in a similar class include Qwen3 Max Thinking, Qwen3 Coder Plus, Qwen3.5 397B A17B. The "Similar models" section below this FAQ links into each.

Still unsure?

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