Qwen3.5-Flash with Jev
Qwen3.5-Flash is a model from Qwen, released 2026-02-25. It costs $0.065 per million input tokens and $0.260 per million output tokens, reads up to 1M tokens of context, and writes up to 65,536 tokens in one reply. Through llm11, set model to qwen/qwen3.5-flash-02-23.
- Input price
- $0.065 / 1M
- Output price
- $0.260 / 1M
- Context window
- 1M tokens
- Max output
- 66K tokens
- Released
- 2026-02-25
- Accepts
- text, image, video
Read from the live catalogue and refreshed daily. At blended list price, 89% of the 332 priced models we can call cost more.
Using Qwen3.5-Flash 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. Qwen3.5-Flash does the answering when Jev sends it work, or when you name it yourself. Qwen3.5-Flash 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 Qwen3.5-Flash 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 | $0.00008 | $0.085 |
| Question over retrieved documents | 4,000 / 500 | $0.00039 | $0.390 |
| Long document summary | 30,000 / 1,000 | $0.00221 | $2.21 |
Cheaper models to try
The catalogue has no benchmark score for Qwen3.5-Flash, so this is a price ordering. It does not claim these answer as well.
| Model | Input / 1M | Output / 1M | Context | Released |
|---|---|---|---|---|
| Qwen Qwen3.5-9B | $0.100 | $0.150 | 262K | |
| Mistral Ministral 3 3B 2512 | $0.100 | $0.100 | 131K | |
| DeepSeek DeepSeek V4 Flash 0731 | $0.018 | $0.320 | 1.31M | |
| Qwen Qwen3 30B A3B Instruct 2507 | $0.048 | $0.193 | 262K |
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/qwen3.5-flash-02-23",
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 Qwen3.5-Flash 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. Qwen3.5-Flash does the answering when Jev sends it work, or when you name it yourself. Qwen3.5-Flash 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 Qwen3.5-Flash a System One model?
- No. Qwen3.5-Flash 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 Qwen3.5-Flash cost?
- $0.065 per million input tokens and $0.260 per million output tokens. A 4,000 token prompt with a 500 token answer costs about $0.00039, so a thousand of them is about $0.390. llm11 passes provider list price through and charges 5% when you buy credits.
- What is the Qwen3.5-Flash context window?
- 1,000,000 tokens, with up to 65,536 tokens in a single reply.
- Does Qwen3.5-Flash support tool calling and structured output?
- The catalogue lists tool calling, structured output and reasoning controls.
- Can I use Qwen3.5-Flash through llm11?
- Yes. Set model to qwen/qwen3.5-flash-02-23 on the OpenAI-compatible endpoint and the request goes to it directly, with verification still running.
- Does Jev route to Qwen3.5-Flash?
- Routing decisions are made by Jev, TypeSafe AI's System One model. Qwen3.5-Flash 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 Qwen3.5-Flash?
- Nearest in price and below it: Qwen Qwen3.5-9B at $0.100 in and $0.150 out, Mistral Ministral 3 3B 2512 at $0.100 in and $0.100 out and DeepSeek DeepSeek V4 Flash 0731 at $0.018 in and $0.320 out. The catalogue has no benchmark score for Qwen3.5-Flash, so this is a price ordering. It does not claim these answer as well.