Qwen: Qwen3 Max Thinking

Public pricingIntelligence 78/100Large memoryDeep thinkingTool use

Qwen: Qwen3 Max Thinking is a text model for reasoning and problem solving. It combines deep reasoning and planning with a 262K tokens context window and a balanced-cost profile. Use it for reasoning, analysis, and hard problem solving when quality, speed, and cost matters. It is a practical choice for teams that need reliable output, flexible deployment, and room to scale.

Input

$0.78/1M

Output

$3.90/1M

Cached

$0.30/1M

Batch

$0.60/1M

Calculate your Qwen3 Max Thinking bill.

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What would Qwen3 Max Thinking cost you?

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Technical specifications

Qwen3 Max Thinking at a glance.

Memory

262,144

tokens

Max reply

32,768

tokens

Memory tier

Large

an entire book or large codebase

Tokenizer

qwen

Released

Sep 2025

Training cutoff

Jun 2025

Availability

Public pricing

Status

active

Benchmarks

Quality benchmarks

Independent evaluations from public leaderboards. Higher is better.

  • 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 Thinking

  • Multi-step reasoning, research agents, or hard math.
  • 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 Thinking — 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 Thinking costs roughly $215 per month. Input is $0.78 /1M tokens and output is $3.90 /1M tokens.
Qwen3 Max Thinking 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 Thinking supports deep step-by-step reasoning, calling functions / tools, strict JSON output, fine-tuning on your own data. It streams replies by default.
Qwen3 Max Thinking was released in September 2025, with training data cut off around June 2025.
Models in a similar class include Qwen3.5 397B A17B, Qwen3.6 Plus, Qwen Plus 0728 (thinking). The "Similar models" section below this FAQ links into each.

Still unsure?

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