LLM Reference

Qwen-VL

Released
2023-11-30
Last refreshed
2026-04-18
Status
Researched 154d ago
Vision

Qwen-VL is worth evaluating for vision when its provider route and context window match the workload.

Use it for

  • Teams evaluating vision
  • Workloads that can use a 32k context window
  • Buyers comparing 1 tracked provider route

Do not use it for

  • Vision or document-understanding workloads
  • Strict JSON or tool-calling flows
Specifications
Family
Qwen-VL
Released
2023-11-30
Context
32k
Parameters
7B
Architecture
Decoder Only
Specialization
general
Training
finetuned
Created by

AI research institute of Alibaba Group.

Hangzhou, Zhejiang, China
Founded 2017
Website
Pricing
Output / 1M
$0.250
Input / 1M
$0.050

Cheapest of 1 route · Replicate API

About

Multimodal vision-language model processing images and text for visual understanding.

Qwen-VL is a model. The structured metadata tracks a 32k-token context window. This page tracks provider routes through Replicate API, with the cheapest tracked route listed at $0.05 input and $0.25 output per 1M tokens. Headline tracked benchmarks include GAOKAO-MM 14.2.

Top use-case fit

Vision

Q/$ B

1 relevant benchmark 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
Replicate API$0.050$0.250
Serverless

Capabilities

No model capability flags are currently sourced.

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
GAOKAO-MM14.2zero-shothttps://github.com/OpenMOSS/GAOKAO-MM

Migration checks

No linked migration route is available for this model yet.

Rankings & picks(7)