Qwen3 Next 80B A3B Thinking with Jev
Qwen3 Next 80B A3B Thinking is a model from Qwen, released 2025-09-11. It costs $0.150 per million input tokens and $1.20 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-next-80b-a3b-thinking.
- Input price
- $0.150 / 1M
- Output price
- $1.20 / 1M
- Context window
- 262K tokens
- Max output
- 236K tokens
- Released
- 2025-09-11
- Accepts
- text
Read from the live catalogue and refreshed daily. At blended list price, 66% of the 332 priced models we can call cost more.
Using Qwen3 Next 80B A3B Thinking 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 Next 80B A3B Thinking does the answering when Jev sends it work, or when you name it yourself. Qwen3 Next 80B A3B Thinking falls in the llm11-fast band, and the labs and limits it meets make it eligible for that pack. Today it is one of the models in that pack's live pool.
Jev is new, so we have not published results for Qwen3 Next 80B A3B Thinking 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 | $0.00032 | $0.315 |
| Question over retrieved documents | 4,000 / 500 | $0.00120 | $1.20 |
| Long document summary | 30,000 / 1,000 | $0.00570 | $5.70 |
Cheaper models to try
The catalogue has no benchmark score for Qwen3 Next 80B A3B Thinking, so this is a price ordering. It does not claim these answer as well.
| Model | Input / 1M | Output / 1M | Context | Released |
|---|---|---|---|---|
| Meta Llama 3.1 70B Instruct | $0.400 | $0.400 | 131K | |
| Qwen Qwen3 Coder Flash | $0.195 | $0.975 | 1M | |
| Qwen Qwen-Plus | $0.260 | $0.780 | 1M | |
| Qwen Qwen2.5 72B Instruct | $0.360 | $0.400 | 33K |
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-next-80b-a3b-thinking",
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 Next 80B A3B Thinking 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 Next 80B A3B Thinking does the answering when Jev sends it work, or when you name it yourself. Qwen3 Next 80B A3B Thinking falls in the llm11-fast band, and the labs and limits it meets make it eligible for that pack. Today it is one of the models in that pack's live pool. Routing decisions are made by Jev, TypeSafe AI's System One model.
- Is Qwen3 Next 80B A3B Thinking a System One model?
- No. Qwen3 Next 80B A3B Thinking 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 Next 80B A3B Thinking cost?
- $0.150 per million input tokens and $1.20 per million output tokens. A 4,000 token prompt with a 500 token answer costs about $0.00120, so a thousand of them is about $1.20. llm11 passes provider list price through and charges 5% when you buy credits.
- What is the Qwen3 Next 80B A3B Thinking context window?
- 262,144 tokens, with up to 235,929 tokens in a single reply.
- Does Qwen3 Next 80B A3B Thinking support tool calling and structured output?
- The catalogue lists tool calling, structured output and reasoning controls.
- Can I use Qwen3 Next 80B A3B Thinking through llm11?
- Yes. Set model to qwen/qwen3-next-80b-a3b-thinking on the OpenAI-compatible endpoint and the request goes to it directly, with verification still running.
- Does Jev route to Qwen3 Next 80B A3B Thinking?
- Routing decisions are made by Jev, TypeSafe AI's System One model. Qwen3 Next 80B A3B Thinking falls in the llm11-fast band, and the labs and limits it meets make it eligible for that pack. Today it is one of the models in that pack's live pool.
- What is a cheaper alternative to Qwen3 Next 80B A3B Thinking?
- Nearest in price and below it: Meta Llama 3.1 70B Instruct at $0.400 in and $0.400 out, Qwen Qwen3 Coder Flash at $0.195 in and $0.975 out and Qwen Qwen-Plus at $0.260 in and $0.780 out. The catalogue has no benchmark score for Qwen3 Next 80B A3B Thinking, so this is a price ordering. It does not claim these answer as well.