LLM Reference

Qwen-Max

Released
2024-05-11
Last refreshed
2026-05-11
Status
Researched 46d ago
RAGLong contextVisionClassificationJSON / Tool use

Qwen-Max is worth evaluating for rag, long context, and vision when its provider route and context window match the workload.

Use it for

  • Teams evaluating rag, long context, and vision
  • Workloads that can use a 128k context window
  • Buyers comparing 1 tracked provider route

Do not use it for

  • Workloads where another current model has stronger sourced task evidence
Specifications
Family
Qwen1.5
Released
2024-05-11
Context
128k
Architecture
Decoder Only
Specialization
general
Training
finetuned
Created by

AI research institute of Alibaba Group.

Hangzhou, Zhejiang, China
Founded 2017
Website
Pricing
Output / 1M
$4.16
Input / 1M
$1.04

Cheapest of 1 route · OpenRouter

About

Closed-source flagship Qwen model with advanced reasoning capabilities for agent tasks.

Qwen-Max is a model in the Qwen1.5 family. The structured metadata tracks a 128k-token context window, vision, and structured outputs. This page tracks provider routes through OpenRouter, with the cheapest tracked route listed at $1.04 input and $4.16 output per 1M tokens. No headline benchmark score is tracked for Qwen-Max yet.

Top use-case fit

RAG

Included by capability and metadata signals in the decision map.

Long context

Included by capability and metadata signals in the decision map.

Vision

Included by capability and metadata signals in the decision map.

Provider price ladder

Compare API pricing across 1 providers for input and output tokens, batch, and cached reads when available.

ProviderInput / 1MOutput / 1MRoute
OpenRouter$1.04$4.16
Serverless

Capabilities

VisionStructured Outputs

Benchmark peer barsfor RAG

No task-mapped benchmark peers are available for this model yet.

Migration checks

No linked migration route is available for this model yet.

Rankings & picks(10)

Comparison and alternatives

Browse all comparisons →