---
id: "qwen/qwen2.5-vl-72b-instruct"
also: ["qwen/qwen2.5-vl-72b-instruct", "Qwen/Qwen2.5-VL-72B-Instruct", "hf/Qwen/Qwen2.5-VL-72B-Instruct"]
cheapest_list_usd_per_m: "0.25 in, 0.75 out, at nebius/fp8 on openrouter"
cheapest_effective_usd_per_m: "0.2499 in, 0.7395 out, at nebius/fp8 on openrouter"
context: 128000
max_output: 115200
input: ["text", "image"]
output: ["text"]
released: "2025-02-01"
api: ["/api/v1/chat/completions", "/api/v1/completions", "/api/v1/messages", "/api/v1/responses"]
params: ["frequency_penalty", "logit_bias", "logprobs", "max_tokens", "presence_penalty", "repetition_penalty", "response_format", "seed", "stop", "structured_outputs", "temperature", "top_k", "top_logprobs", "top_p"]
endpoints: 4
gateways: "hf (2), openrouter (2)"
no_training: 2
trains: 0
retains_prompts: 0
---
# Qwen: Qwen2.5 VL 72B Instruct

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.