Qwen3 Coder Next with Jev
Qwen3 Coder Next is a model from Qwen, released 2026-02-04. It costs $0.120 per million input tokens and $0.800 per million output tokens, reads up to 262K tokens of context, and writes up to 235,929 tokens in one reply. Through llm11, set model to qwen/qwen3-coder-next.
- Input price
- $0.120 / 1M
- Output price
- $0.800 / 1M
- Context window
- 262K tokens
- Max output
- 236K tokens
- Cached input
- $0.070 / 1M
- Released
- 2026-02-04
- Accepts
- text
- Intelligence index
- 9.2
Read from the provider's prompt cache
Artificial Analysis, via the catalogue
Read from the live catalogue and refreshed daily. At blended list price, 72% of the 332 priced models we can call cost more.
Using Qwen3 Coder Next 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 Coder Next does the answering when Jev sends it work, or when you name it yourself. Qwen3 Coder Next 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 Coder Next 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 | $0.00022 | $0.220 |
| Question over retrieved documents | 4,000 / 500 | $0.00088 | $0.880 |
| Long document summary | 30,000 / 1,000 | $0.00440 | $4.40 |
Cheaper models to try
Nearest in price and below Qwen3 Coder Next, each within a few points of it on the intelligence index.
| Model | Input / 1M | Output / 1M | Context | Index | Released |
|---|---|---|---|---|---|
| Mistral Mistral Small 4 | $0.150 | $0.600 | 262K | 11.3 | |
| OpenAI GPT-6 Luna | $0.100 | $0.500 | 1.05M | 37.3 | |
| Mistral Ministral 3 14B 2512 | $0.200 | $0.200 | 262K | 6 | |
| DeepSeek DeepSeek V4 Flash 0423 | $0.140 | $0.280 | 1.05M | 24.2 |
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-coder-next",
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 Coder Next 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 Coder Next does the answering when Jev sends it work, or when you name it yourself. Qwen3 Coder Next 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 Coder Next a System One model?
- No. Qwen3 Coder Next 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 Coder Next cost?
- $0.120 per million input tokens and $0.800 per million output tokens. A 4,000 token prompt with a 500 token answer costs about $0.00088, so a thousand of them is about $0.880. llm11 passes provider list price through and charges 5% when you buy credits.
- What is the Qwen3 Coder Next context window?
- 262,144 tokens, with up to 235,929 tokens in a single reply.
- Does Qwen3 Coder Next 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 Coder Next through llm11?
- Yes. Set model to qwen/qwen3-coder-next on the OpenAI-compatible endpoint and the request goes to it directly, with verification still running.
- Does Jev route to Qwen3 Coder Next?
- Routing decisions are made by Jev, TypeSafe AI's System One model. Qwen3 Coder Next 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 Coder Next?
- Nearest in price and below it: Mistral Mistral Small 4 at $0.150 in and $0.600 out, OpenAI GPT-6 Luna at $0.100 in and $0.500 out and Mistral Ministral 3 14B 2512 at $0.200 in and $0.200 out. Nearest in price and below Qwen3 Coder Next, each within a few points of it on the intelligence index.