Qwen2.5 VL 72B Instruct with Jev
Qwen2.5 VL 72B Instruct is a model from Qwen, released 2025-02-01. It costs $0.800 per million input tokens and $1.00 per million output tokens, reads up to 128K tokens of context, and writes up to 115,200 tokens in one reply. Through llm11, set model to qwen/qwen2.5-vl-72b-instruct.
- Input price
- $0.800 / 1M
- Output price
- $1.00 / 1M
- Context window
- 128K tokens
- Max output
- 115K tokens
- Cached input
- $0.400 / 1M
- Released
- 2025-02-01
- Accepts
- text, image
Read from the provider's prompt cache
Read from the live catalogue and refreshed daily. At blended list price, 45% of the 332 priced models we can call cost more.
Using Qwen2.5 VL 72B Instruct with Jev
Jev is TypeSafe AI's System One model. It reads each request first and decides which model in your pool answers, with a calibrated confidence on that call. Qwen2.5 VL 72B Instruct does the answering when Jev sends it work, or when you name it yourself. Qwen2.5 VL 72B Instruct falls in the llm11-balanced band, and the labs and limits it meets make it eligible for that pack. Packs keep a spread of eight models per band, and it is not one of the eight today, so it is only picked when you name it in a custom pool.
Jev is new, so we have not published results for Qwen2.5 VL 72B Instruct with and without it, and this page does not invent any. Every response comes with a receipt that names the model that answered and what it cost against your most expensive model, so you can measure the pairing on your own traffic.
What a request costs
List price arithmetic, the same sum a receipt does. llm11 adds nothing per request; the only fee is on buying credits.
| Request | Tokens in / out | One | A thousand |
|---|---|---|---|
| Short chat turn | 500 / 200 | $0.00060 | $0.600 |
| Question over retrieved documents | 4,000 / 500 | $0.00370 | $3.70 |
| Long document summary | 30,000 / 1,000 | $0.025 | $25.00 |
Cheaper models to try
The catalogue has no benchmark score for Qwen2.5 VL 72B Instruct, so this is a price ordering. It does not claim these answer as well.
| Model | Input / 1M | Output / 1M | Context | Released |
|---|---|---|---|---|
| Mistral Devstral 2 2512 | $0.400 | $2.00 | 262K | |
| Mistral Mistral Medium 3.1 | $0.400 | $2.00 | 131K | |
| Mistral Mistral Medium 3 | $0.400 | $2.00 | 131K | |
| Qwen Qwen3 235B A22BRetires 2026-10-09 | $0.455 | $1.82 | 131K |
Call it
Same OpenAI request shape. Naming the model pins it, so nothing is routed, and the answer is still checked.
python
from openai import OpenAI
client = OpenAI(base_url="https://www.llm11.com/v1", api_key="llm11_live_...")
res = client.chat.completions.create(
model="qwen/qwen2.5-vl-72b-instruct",
messages=[{"role": "user", "content": "Hello"}],
)More from Qwen
| Model | Input / 1M | Output / 1M | Context | Released |
|---|---|---|---|---|
| Qwen3.8 Max Prime | $4.00 | $12 | 1M | |
| Qwen3.8 Omni Flash | $0.150 | $0.470 | 1M | |
| Qwen3.8 Max (0902) | $2.00 | $6.00 | 1M | |
| Qwen3.8 Flash | $0.150 | $0.470 | 1M | |
| Qwen3.8 27B | $0.045 | $4.40 | 1M | |
| Qwen3.8 2.4T A95B | $2.00 | $6.00 | 1.05M |
Questions
- What is Qwen2.5 VL 72B Instruct with Jev?
- Jev is TypeSafe AI's System One model. It reads each request first and decides which model in your pool answers, with a calibrated confidence on that call. Qwen2.5 VL 72B Instruct does the answering when Jev sends it work, or when you name it yourself. Qwen2.5 VL 72B Instruct falls in the llm11-balanced band, and the labs and limits it meets make it eligible for that pack. Packs keep a spread of eight models per band, and it is not one of the eight today, so it is only picked when you name it in a custom pool. Routing decisions are made by Jev, TypeSafe AI's System One model.
- Is Qwen2.5 VL 72B Instruct a System One model?
- No. Qwen2.5 VL 72B Instruct answers requests. The System One model is Jev, which decides which model answers each one, so the two do different jobs and llm11 uses both.
- How much does Qwen2.5 VL 72B Instruct cost?
- $0.800 per million input tokens and $1.00 per million output tokens. A 4,000 token prompt with a 500 token answer costs about $0.00370, so a thousand of them is about $3.70. llm11 passes provider list price through and charges 5% when you buy credits.
- What is the Qwen2.5 VL 72B Instruct context window?
- 128,000 tokens, with up to 115,200 tokens in a single reply.
- Does Qwen2.5 VL 72B Instruct support tool calling and structured output?
- The catalogue lists structured output, but it does not list tool calling and reasoning controls.
- Can I use Qwen2.5 VL 72B Instruct through llm11?
- Yes. Set model to qwen/qwen2.5-vl-72b-instruct on the OpenAI-compatible endpoint and the request goes to it directly, with verification still running.
- Does Jev route to Qwen2.5 VL 72B Instruct?
- Routing decisions are made by Jev, TypeSafe AI's System One model. Qwen2.5 VL 72B Instruct falls in the llm11-balanced band, and the labs and limits it meets make it eligible for that pack. Packs keep a spread of eight models per band, and it is not one of the eight today, so it is only picked when you name it in a custom pool.
- What is a cheaper alternative to Qwen2.5 VL 72B Instruct?
- Nearest in price and below it: Mistral Devstral 2 2512 at $0.400 in and $2.00 out, Mistral Mistral Medium 3.1 at $0.400 in and $2.00 out and Mistral Mistral Medium 3 at $0.400 in and $2.00 out. The catalogue has no benchmark score for Qwen2.5 VL 72B Instruct, so this is a price ordering. It does not claim these answer as well.