Qwen: Qwen2.5 VL 72B Instruct✓ Catalog verified
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
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.
Access: available through the official Qwen API. Context window: 33K.
Specifications
| API identifier | qwen/qwen2.5-vl-72b-instruct |
| Provider | Qwen |
| Model type | Multimodal LLM |
| Context window | 33K catalog |
| Input modalities | text · image |
| Output modalities | text |
| Released | Feb 1, 2025 |
| Tokenizer | Qwen |
| Moderated | No |
| Architecture modality | text+image->text |
Pricing
Live pricing components for qwen/qwen2.5-vl-72b-instruct as published in the catalog.
| Pricing component | Raw unit price | Normalized | Unit |
|---|---|---|---|
| Prompt tokens | $8e-7 | $0.80 / 1M | Per input token |
| Completion tokens | $8e-7 | $0.80 / 1M | Per output token |
| Request fee | N/A | N/A | Per request |
| Image fee | N/A | N/A | Per image unit |
| Web search fee | N/A | N/A | Per search request |
Cost calculator
Estimate monthly spend from your own token volumes.
Estimated Total Cost
$0.56Calculated from current list pricing in the ModelsAtlas catalog.Capabilities
| Capability | Status | What it means |
|---|---|---|
| Visual Understanding | ✓ Supported | Image and document analysis support |
| Audio Processing | Not advertised | Speech and voice aligned flows |
| Tool Calling | Not advertised | Supports tools / function calling |
| Self-Hosting | ✓ Supported | Deploy outside managed APIs |
Capability signals
Directional signals derived from model metadata and capability tags — not official benchmark submissions.
Quick start
Call Qwen: Qwen2.5 VL 72B Instruct through an OpenAI-compatible client.
from openai import OpenAI
client = OpenAI(
base_url="https://openrouter.ai/api/v1",
api_key="YOUR_API_KEY"
)
response = client.chat.completions.create(
model="qwen/qwen2.5-vl-72b-instruct",
messages=[{"role": "user", "content": "Explain quantum physics."}]
)
print(response.choices[0].message.content)Alternatives
Closest models by context window from a different provider.
| Model | Provider | Context | Input /1M | Actions |
|---|---|---|---|---|
| AionLabs: Aion-RP 1.0 (8B) | Aion Labs | 33K | $0.80 | View → |
| Arcee AI: Coder Large | Arcee Ai | 33K | $0.50 | View → |
Sources & attribution
Pricing and metadata are maintained in the ModelsAtlas catalog.
Frequently asked questions
How much does Qwen: Qwen2.5 VL 72B Instruct cost?
$0.80 per 1M input tokens and $0.80 per 1M output tokens on the official Qwen API.
What is the context window of Qwen: Qwen2.5 VL 72B Instruct?
Qwen: Qwen2.5 VL 72B Instruct supports up to 33K tokens of context.
Does Qwen: Qwen2.5 VL 72B Instruct support tool / function calling?
Qwen: Qwen2.5 VL 72B Instruct does not advertise first-class tool/function calling. Check vendor docs for the latest capabilities.
How do I access Qwen: Qwen2.5 VL 72B Instruct?
Use the official Qwen API with the model id `qwen/qwen2.5-vl-72b-instruct`. See the Quick start section above for code examples.