Qwen: Qwen3.6 Plus

Public pricingIntelligence 80/100Huge memoryVisionDeep thinkingTool use

Qwen: Qwen3.6 Plus is a multimodal model for vision-language understanding. It combines multimodal input handling and image understanding with a 1M+ tokens context window and a balanced-cost profile. Use it for image and video understanding when latency, cost, and throughput matters. It is a practical choice for teams that need reliable output, flexible deployment, and room to scale.

Input

$0.33/1M

Output

$1.95/1M

Cached

$0.08/1M

Batch

$0.16/1M

Calculate your Qwen3.6 Plus bill.

Set your workload — see cost at your exact volume.

What would Qwen3.6 Plus cost you?

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1,00010,00050,000250,0001M10M

Technical specifications

Qwen3.6 Plus at a glance.

Memory

1,000,000

tokens

Max reply

65,536

tokens

Memory tier

Huge

multiple books or whole repositories

Tokenizer

qwen3

Released

Apr 2026

Training cutoff

Dec 2025

Availability

Public pricing

Status

active

Benchmarks

Quality benchmarks

Independent evaluations from public leaderboards. Higher is better.

  • swe_bench_verified

    78.8

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 Qwen3.6 Plus

  • Multi-step reasoning, research agents, or hard math.
  • Screenshot analysis, image understanding, or document OCR.
  • Agentic workflows that call tools or APIs.
  • Long documents, full codebases, or extensive chat histories.

When to look elsewhere

  • Very latency-sensitive, real-time apps where every millisecond counts.

Alternatives

Similar models to compare.

FAQ

Qwen3.6 Plus — 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, Qwen3.6 Plus costs roughly $102 per month. Input is $0.33 /1M tokens and output is $1.95 /1M tokens.
Qwen3.6 Plus has a 1,000,000-token context window (huge memory — multiple books or whole repositories). That means you can fit about 187,500 words of input and history in a single call.
Beyond text generation, Qwen3.6 Plus supports understanding images, deep step-by-step reasoning, calling functions / tools, strict JSON output, fine-tuning on your own data. It streams replies by default.
Qwen3.6 Plus was released in April 2026, with training data cut off around December 2025.
Models in a similar class include Qwen Plus 0728 (thinking), Qwen-Plus, Qwen3.5 397B A17B. The "Similar models" section below this FAQ links into each.

Still unsure?

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