LLM Reference

Qwen-VL-Max

Released
2023-11-30
Last refreshed
2026-05-19
Status
Researched 16d ago
VisionClassificationJSON / Tool use

Qwen-VL-Max is worth evaluating for vision, classification, and json / tool use when its provider route and context window match the workload.

Use it for

  • Teams evaluating vision, classification, and json / tool use
  • Workloads that can use a 32k context window
  • Buyers comparing 1 tracked provider route

Do not use it for

  • Vision or document-understanding workloads
Specifications
Family
Qwen-VL
Released
2023-11-30
Context
32k
Architecture
Decoder Only
Specialization
general
Training
finetuned
Created by

AI research institute of Alibaba Group.

Hangzhou, Zhejiang, China
Founded 2017
Website
Pricing
Output / 1M
$2.08
Input / 1M
$0.520

Cheapest of 1 route · OpenRouter

About

Qwen-VL-Max is Alibaba's Qwen-VL model. It was released 2023-11-30.

Qwen-VL-Max is a model in the Qwen-VL family. The structured metadata tracks a 32k-token context window and structured outputs. This page tracks provider routes through OpenRouter, with the cheapest tracked route listed at $0.52 input and $2.08 output per 1M tokens. Headline tracked benchmarks include Massive Multi-discipline Multimodal Understanding 56.8.

Top use-case fit

Vision

Q/$ C

1 relevant benchmark in the decision map.

Classification

Included by capability and metadata signals in the decision map.

JSON / Tool use

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$0.520$2.08
Serverless

Capabilities

Structured Outputs

Benchmark peer barsfor Vision

Benchmark scores(1)

Scores are benchmark-specific and are direction-aware: the same numeric gap can mean very different outcomes across suites. Use the leaderboard context and this model's provider route to decide whether the winning margin is meaningful for your workload.
BenchmarkScoreVersionSource
Massive Multi-discipline Multimodal Understanding56.8https://mmmu-benchmark.github.io/

Migration checks

No linked migration route is available for this model yet.

Rankings & picks(7)