LLM Reference

Qwen3 VL 235B A22B Instruct

Released
2025-09-18
Last refreshed
2026-05-22
Status
Researched 28d ago
Open SourceCommercial use allowedMultimodalRAGAgentsLong contextVisionJSON / Tool use

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

Use it for

  • Teams evaluating rag, agents, and long context
  • Workloads that can use a 256k context window
  • Buyers comparing 2 tracked provider routes

Do not use it for

  • Workloads where another current model has stronger sourced task evidence
Specifications
Family
Qwen3-VL
Released
2025-09-18
Context
256k
Parameters
235B
Architecture
moe
Specialization
general
Openness
Open source
License
Apache 2.0(OSI)Commercial use allowed
Training
pretrained
Created by

AI research institute of Alibaba Group.

Hangzhou, Zhejiang, China
Founded 2017
Website
Pricing
Output / 1M
$1.50
Input / 1M
$0.300

Cheapest of 2 routes · Novita AI

About

Qwen3-VL-235B-A22B-Instruct is Alibaba's open-weight flagship multimodal MoE model combining strong text generation with visual understanding, supporting 256K context.

Qwen3 VL 235B A22B Instruct is an open-source model in the Qwen3-VL family. The structured metadata tracks a 256k-token context window, multimodal input, function calling, tool use, and structured outputs. This page tracks provider routes through Vercel AI Gateway and Novita AI, with the cheapest tracked route listed at $0.3 input and $1.5 output per 1M tokens. Headline tracked benchmarks include MMMU Pro 68.1.

Top use-case fit: coding, agents, and build tasks

RAG

Included by capability and metadata signals in the decision map.

Agents

Included by capability and metadata signals in the decision map.

Long context

Included by capability and metadata signals in the decision map.

Provider price ladder

Compare all 2

Compare API pricing across 2 providers for input and output tokens, batch, and cached reads when available.

ProviderInput / 1MOutput / 1MRoute
Novita AI$0.300$1.50
Serverless
Vercel AI Gateway$0.400$1.60
Serverless

Capabilities

VisionMultimodalFunction CallingTool UseStructured Outputs

Benchmark peer barsfor RAG

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

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
MMMU Pro68.1LLM-Stats aggregator, instruct-only modehttps://llm-stats.com/benchmarks/mmmu-pro

Migration checks

No linked migration route is available for this model yet.