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Qwen: Qwen2.5 VL 72B Instruct

Source description (English)

Qwen2.5-VL is proficient in recognizing common objects such as flowers, birds, fish, and insects. It is also highly capable of analyzing texts, charts, icons, graphics, and layouts within images.

Overview

Model specifications

Context
128,000 tokens
Maximum output
115,200 tokens
Architecture
text+image->text
Tokenizer
Qwen
Knowledge cutoff
2024-06-30
Moderated
No
OPENROUTER

Complete pricing

Synchronized OpenRouter rates. Token prices are shown per one million tokens.

Input
$0.8
per 1M tokens
Output
$1
per 1M tokens
Cache read
$0.4
per 1M tokens
API

Quick start

Set OPENROUTER_API_KEY locally. Python requires requests; JavaScript runs in Node.js. Keep the key on the server.

API documentation

curl --fail-with-body https://openrouter.ai/api/v1/chat/completions \
  -H "Authorization: Bearer $OPENROUTER_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"qwen/qwen2.5-vl-72b-instruct","messages":[{"role":"user","content":"Hello!"}]}'
Capabilities

InputOutput

Input
textimage
Output
text
API

Supported API parameters

frequency_penaltylogit_biaslogprobsmax_tokenspresence_penaltyrepetition_penaltyresponse_formatseedstopstructured_outputstemperaturetop_ktop_logprobstop_p
Available providers

1 Provider

Checked: September 7, 2026

Live providers on OpenRouter

Provider availability, latency, throughput and routing can change continuously. Open the source page for current operational data.

OpenRouter

Parasail

fp8
Context
128K
Maximum output
115K
Input
$0.8
Output
$1
Cache read
$0.4
Cache write
Not provided
qwen

4 models

All models