Qwen: Qwen2.5 VL 72B Instruct, Qwen — route, pricing & source
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.
OpenRoutermediumLast checked: Jun 2, 2026
Input
$0.2500 / 1M
/ 1M tokens
Output
$0.7500 / 1M
/ 1M tokens
Cached input
Not available
Not available
Cache write
Not available
Not available
Context and limits
Context window
131.1K
Max output
Unknown
Input modalities
text, image
Output modalities
text
Weight access
Open weights
Availability
Unknown
Capability flags
VisionJSONLong context
From source metadata + verification fields — confirm provider docs before production.
Access and license
Official API
No
Open weights
No
Self-hostable
No
License
Open weightsQwenWeights are published under vendor-specific terms (Llama/Qwen‑style licenses). Usually you may download/run locally under those terms; it may differ from MIT/Apache wording.
Example costs
Scenario: 1K input + 300 output tokens / request
10,000 requests
$4.75
100,000 requests
$47.50
1,000,000 requests
$475.00
Cheaper alternatives
Lower-cost models for the same scenario
Source
Source
OpenRouter Models API
Confidence
medium
Route
OpenRouter
Last checked
Jun 2, 2026
Source notes
- Includes Hugging Face benchmark data only when the dataset is public, ungated, allowlisted, and matched by reviewed aliases.
