AI Observatory / Model Radar
Qwen / qwen/qwen2.5-vl-72b-instruct
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.
32,000
Context
N/A
Max output
$0.25 / 1M
Prompt price
2025-02-01
Created
01 / Snapshot
Pricing, context, modalities, and parameters.
Model Radar detail pages stay neutral and operator-readable: core metadata first, then workflow fit.
| Provider | Qwen | Input modalities | text, image |
|---|---|---|---|
| Output modalities | text | Prompt price | $0.25 / 1M |
| Completion price | $0.75 / 1M | Request price | N/A |
| Context length | 32,000 | Max completion tokens | N/A |
| Supported parameters | frequency_penalty, logit_bias, max_tokens, presence_penalty, repetition_penalty, response_format, seed, stop, structured_outputs, temperature, top_k, top_p | ||
Best for
qwen/qwen2.5-vl-72b-instruct
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.
Cross-modal work
High-volume usage
vision
low-cost
03 / Colophon
Routes and exits.
Each model page stays simple: overview, compare, related models, then back to the public hub.