Qwen3 VL 235B A22B Instruct with Jev
Qwen3 VL 235B A22B Instruct is a model from Qwen, released 2025-09-23. It costs $0.210 per million input tokens and $1.90 per million output tokens, reads up to 262K tokens of context, and writes up to 32,768 tokens in one reply. Through llm11, set model to qwen/qwen3-vl-235b-a22b-instruct.
- Input price
- $0.210 / 1M
- Output price
- $1.90 / 1M
- Context window
- 262K tokens
- Max output
- 33K tokens
- Cached input
- $0.100 / 1M
- Released
- 2025-09-23
- Accepts
- text, image
Read from the provider's prompt cache
Read from the live catalogue and refreshed daily. At blended list price, 54% of the 332 priced models we can call cost more.
Using Qwen3 VL 235B A22B 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. Qwen3 VL 235B A22B Instruct does the answering when Jev sends it work, or when you name it yourself. Qwen3 VL 235B A22B 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 Qwen3 VL 235B A22B 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 | $0.00049 | $0.485 |
| Question over retrieved documents | 4,000 / 500 | $0.00179 | $1.79 |
| Long document summary | 30,000 / 1,000 | $0.00820 | $8.20 |
Cheaper models to try
The catalogue has no benchmark score for Qwen3 VL 235B A22B Instruct, so this is a price ordering. It does not claim these answer as well.
| Model | Input / 1M | Output / 1M | Context | Released |
|---|---|---|---|---|
| Cohere Command A+ | $0.300 | $1.50 | 192K | |
| Qwen Qwen3.5 Plus 2026-02-15 | $0.260 | $1.56 | 1M | |
| Google Gemini 3.1 Flash Lite | $0.250 | $1.50 | 1.05M | |
| Google Gemini 3.1 Flash Lite Preview | $0.250 | $1.50 | 1.05M |
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/qwen3-vl-235b-a22b-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 Qwen3 VL 235B A22B 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. Qwen3 VL 235B A22B Instruct does the answering when Jev sends it work, or when you name it yourself. Qwen3 VL 235B A22B 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 Qwen3 VL 235B A22B Instruct a System One model?
- No. Qwen3 VL 235B A22B 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 Qwen3 VL 235B A22B Instruct cost?
- $0.210 per million input tokens and $1.90 per million output tokens. A 4,000 token prompt with a 500 token answer costs about $0.00179, so a thousand of them is about $1.79. llm11 passes provider list price through and charges 5% when you buy credits.
- What is the Qwen3 VL 235B A22B Instruct context window?
- 262,144 tokens, with up to 32,768 tokens in a single reply.
- Does Qwen3 VL 235B A22B 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 Qwen3 VL 235B A22B Instruct through llm11?
- Yes. Set model to qwen/qwen3-vl-235b-a22b-instruct on the OpenAI-compatible endpoint and the request goes to it directly, with verification still running.
- Does Jev route to Qwen3 VL 235B A22B Instruct?
- Routing decisions are made by Jev, TypeSafe AI's System One model. Qwen3 VL 235B A22B 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 Qwen3 VL 235B A22B Instruct?
- Nearest in price and below it: Cohere Command A+ at $0.300 in and $1.50 out, Qwen Qwen3.5 Plus 2026-02-15 at $0.260 in and $1.56 out and Google Gemini 3.1 Flash Lite at $0.250 in and $1.50 out. The catalogue has no benchmark score for Qwen3 VL 235B A22B Instruct, so this is a price ordering. It does not claim these answer as well.