LLM ReferenceLLM Reference

Qwen2.5-VL-72B

qwen2.5-vl-72b

Researched 137d ago

Last refreshed 2026-04-15. Next refresh: weekly.

Vision

Qwen2.5-VL-72B has model metadata, but missing tracked provider pricing keeps it from being a default production pick.

Decision context: Vision task fit, 0 tracked provider routes, and research from 2026-01-01.

Use it for

  • Teams evaluating vision
  • Workloads that can use a 33K context window

Do not use it for

  • Cost-sensitive launches that need sourced token pricing
  • Vision or document-understanding workloads
  • Strict JSON or tool-calling flows

Cheapest output

-

No tracked output price

Provider routes

0

No provider route in seed

Quality / dollar

Unknown

No output-token price in the ladder

Freshness

2026-01-01

Researched 137d ago

stale

Top use-case fit

Vision

1 relevant benchmark in the decision map.

Provider price ladder

No tracked provider token pricing is available for this model yet.

Benchmark peer barsfor Vision

Migration checks

No linked migration route is available for this model yet.

About

Qwen: Qwen2.5 VL 72B Instruct available via OpenRouter. Pricing: $0.8/1M input, $0.8/1M output.

Qwen2.5-VL-72B has a 33K-token context window.

Capabilities

No model capability flags are currently sourced.

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 Understanding64.5https://mmmu-benchmark.github.io/

Rankings

Specifications

FamilyQwen2.5
Released2025-01-26
Parameters72B
Context33K
ArchitectureDecoder Only
Specializationgeneral

Created by

AI research institute of Alibaba Group.

Hangzhou, Zhejiang, China
Founded 2017
Website