Qwen2.5 7B Instruct with Jev
Qwen2.5 7B Instruct is a model from Qwen, released 2024-10-16. It costs $0.100 per million input tokens and $0.200 per million output tokens, reads up to 33K tokens of context, and writes up to 29,491 tokens in one reply. Through llm11, set model to qwen/qwen-2.5-7b-instruct.
- Input price
- $0.100 / 1M
- Output price
- $0.200 / 1M
- Context window
- 33K tokens
- Max output
- 29K tokens
- Released
- 2024-10-16
- Accepts
- text
Read from the live catalogue and refreshed daily. At blended list price, 87% of the 332 priced models we can call cost more.
Using Qwen2.5 7B 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 7B Instruct does the answering when Jev sends it work, or when you name it yourself. Qwen2.5 7B Instruct falls in the llm11-fast 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 7B 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 | $0.00009 | $0.090 |
| Question over retrieved documents | 4,000 / 500 | $0.00050 | $0.500 |
| Long document summary | 30,000 / 1,000 | $0.00320 | $3.20 |
Cheaper models to try
The catalogue has no benchmark score for Qwen2.5 7B Instruct, so this is a price ordering. It does not claim these answer as well.
| Model | Input / 1M | Output / 1M | Context | Released |
|---|---|---|---|---|
| Qwen Qwen3 Coder 30B A3B Instruct | $0.070 | $0.280 | 262K | |
| Qwen Qwen3.5-Flash | $0.065 | $0.260 | 1M | |
| Qwen Qwen3.5-9B | $0.100 | $0.150 | 262K | |
| Mistral Ministral 3 3B 2512 | $0.100 | $0.100 | 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/qwen-2.5-7b-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 7B 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 7B Instruct does the answering when Jev sends it work, or when you name it yourself. Qwen2.5 7B Instruct falls in the llm11-fast 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 7B Instruct a System One model?
- No. Qwen2.5 7B 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 7B Instruct cost?
- $0.100 per million input tokens and $0.200 per million output tokens. A 4,000 token prompt with a 500 token answer costs about $0.00050, so a thousand of them is about $0.500. llm11 passes provider list price through and charges 5% when you buy credits.
- What is the Qwen2.5 7B Instruct context window?
- 32,768 tokens, with up to 29,491 tokens in a single reply.
- Does Qwen2.5 7B Instruct support tool calling and structured output?
- The catalogue lists tool calling and structured output, but it does not list reasoning controls.
- Can I use Qwen2.5 7B Instruct through llm11?
- Yes. Set model to qwen/qwen-2.5-7b-instruct on the OpenAI-compatible endpoint and the request goes to it directly, with verification still running.
- Does Jev route to Qwen2.5 7B Instruct?
- Routing decisions are made by Jev, TypeSafe AI's System One model. Qwen2.5 7B Instruct falls in the llm11-fast 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 7B Instruct?
- Nearest in price and below it: Qwen Qwen3 Coder 30B A3B Instruct at $0.070 in and $0.280 out, Qwen Qwen3.5-Flash at $0.065 in and $0.260 out and Qwen Qwen3.5-9B at $0.100 in and $0.150 out. The catalogue has no benchmark score for Qwen2.5 7B Instruct, so this is a price ordering. It does not claim these answer as well.