llm11

Qwen3.5-9B with Jev

Qwen3.5-9B is a model from Qwen, released 2026-03-10. It costs $0.100 per million input tokens and $0.150 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/qwen3.5-9b.

Input price
$0.100 / 1M
Output price
$0.150 / 1M
Context window
262K tokens
Max output
33K tokens
Released
2026-03-10
Accepts
text, image, video
Intelligence index
11.2

Artificial Analysis, via the catalogue

Read from the live catalogue and refreshed daily. At blended list price, 90% of the 332 priced models we can call cost more.

Using Qwen3.5-9B 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. Qwen3.5-9B does the answering when Jev sends it work, or when you name it yourself. Qwen3.5-9B 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 Qwen3.5-9B 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.

About JevThe System One router

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.

RequestTokens in / outOneA thousand
Short chat turn500 / 200$0.00008$0.080
Question over retrieved documents4,000 / 500$0.00047$0.475
Long document summary30,000 / 1,000$0.00315$3.15

Cheaper models to try

Nearest in price and below Qwen3.5-9B, each within a few points of it on the intelligence index.

Cheaper alternatives to Qwen3.5-9B
ModelInput / 1MOutput / 1MContextIndex
DeepSeek DeepSeek V4 Flash 0731$0.018$0.3201.31M34.3
OpenAI gpt-oss-120b$0.037$0.170131K11.6
OpenAI gpt-oss-20b$0.018$0.090131K9

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/qwen3.5-9b",
    messages=[{"role": "user", "content": "Hello"}],
)

More from Qwen

Other Qwen models
ModelInput / 1MOutput / 1MContext
Qwen3.8 Max Prime$4.00$121M
Qwen3.8 Omni Flash$0.150$0.4701M
Qwen3.8 Max (0902)$2.00$6.001M
Qwen3.8 Flash$0.150$0.4701M
Qwen3.8 27B$0.045$4.401M
Qwen3.8 2.4T A95B$2.00$6.001.05M

All 53 Qwen models

Questions

What is Qwen3.5-9B 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. Qwen3.5-9B does the answering when Jev sends it work, or when you name it yourself. Qwen3.5-9B 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 Qwen3.5-9B a System One model?
No. Qwen3.5-9B 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 Qwen3.5-9B cost?
$0.100 per million input tokens and $0.150 per million output tokens. A 4,000 token prompt with a 500 token answer costs about $0.00047, so a thousand of them is about $0.475. llm11 passes provider list price through and charges 5% when you buy credits.
What is the Qwen3.5-9B context window?
262,144 tokens, with up to 32,768 tokens in a single reply.
Does Qwen3.5-9B support tool calling and structured output?
The catalogue lists tool calling, structured output and reasoning controls.
Can I use Qwen3.5-9B through llm11?
Yes. Set model to qwen/qwen3.5-9b on the OpenAI-compatible endpoint and the request goes to it directly, with verification still running.
Does Jev route to Qwen3.5-9B?
Routing decisions are made by Jev, TypeSafe AI's System One model. Qwen3.5-9B 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 Qwen3.5-9B?
Nearest in price and below it: DeepSeek DeepSeek V4 Flash 0731 at $0.018 in and $0.320 out, OpenAI gpt-oss-120b at $0.037 in and $0.170 out and OpenAI gpt-oss-20b at $0.018 in and $0.090 out. Nearest in price and below Qwen3.5-9B, each within a few points of it on the intelligence index.