LLM Reference

Qwen3-VL-235B-A22B

qwen3-vl-235b-a22b

Researched 2d ago

Last refreshed 2026-05-19. Next refresh: weekly.

ProprietaryMultimodalRAGLong contextVisionJSON / Tool use

Qwen3-VL-235B-A22B is worth evaluating for rag, long context, and vision when its provider route and context window match the workload.

Decision context: RAG task fit, 2 tracked provider routes, and research from 2026-05-19.

Use it for

  • Teams evaluating rag, long context, and vision
  • Workloads that can use a 128K context window
  • Buyers comparing 2 tracked provider routes

Do not use it for

  • Workloads where another current model has stronger sourced task evidence

Cheapest output

$2.60

OpenRouter per 1M tokens

Provider routes

2

Tracked API hosts

Quality / dollar

Unknown

No task benchmark coverage yet

Freshness

2026-05-19

Researched 2d ago

fresh

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 all 2
ProviderInput / 1MOutput / 1MRoute
OpenRouter$0.260$2.60
Serverless
AWS Bedrock$0.530$2.66
Serverless

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.

About

Qwen3-VL-235B-A22B is Alibaba's Qwen3-VL model. It was released 2025-12-01.

Qwen3-VL-235B-A22B has a 128K-token context window.

Qwen3-VL-235B-A22B input tokens at $0.26/1M, output at $2.6/1M.

Capabilities

MultimodalStructured Outputs

Rankings

Specifications

FamilyQwen3-VL
Released2025-12-01
Context128K

Created by

AI research institute of Alibaba Group.

Hangzhou, Zhejiang, China
Founded 2017
Website