Qwen3 30B A3B Thinking 2507 with Jev
Qwen3 30B A3B Thinking 2507 is a model from Qwen, released 2025-08-28. It costs $0.200 per million input tokens and $2.40 per million output tokens, reads up to 82K tokens of context, and writes up to 32,768 tokens in one reply. Through llm11, set model to qwen/qwen3-30b-a3b-thinking-2507.
The catalogue lists 2026-10-09 as the date Qwen3 30B A3B Thinking 2507 stops being served.
- Input price
- $0.200 / 1M
- Output price
- $2.40 / 1M
- Context window
- 82K tokens
- Max output
- 33K tokens
- Released
- 2025-08-28
- Accepts
- text
- Intelligence index
- 9.8
Artificial Analysis, via the catalogue
Read from the live catalogue and refreshed daily. At blended list price, 48% of the 332 priced models we can call cost more.
Using Qwen3 30B A3B Thinking 2507 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 30B A3B Thinking 2507 does the answering when Jev sends it work, or when you name it yourself. Qwen3 30B A3B Thinking 2507 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 30B A3B Thinking 2507 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 | $0.00058 | $0.580 |
| Question over retrieved documents | 4,000 / 500 | $0.00200 | $2.00 |
| Long document summary | 30,000 / 1,000 | $0.00840 | $8.40 |
Cheaper models to try
Nearest in price and below Qwen3 30B A3B Thinking 2507, each within a few points of it on the intelligence index.
| Model | Input / 1M | Output / 1M | Context | Index | Released |
|---|---|---|---|---|---|
| Qwen Qwen3 235B A22B Thinking 2507Retires 2026-10-09 | $0.230 | $2.30 | 131K | 12.7 | |
| Qwen Qwen3.5-122B-A10B | $0.260 | $2.08 | 262K | 15.6 | |
| OpenAI GPT-5 Mini | $0.250 | $2.00 | 400K | 16.8 | |
| Google Gemini 3.1 Flash Lite Preview | $0.250 | $1.50 | 1.05M | 15.6 |
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/qwen3-30b-a3b-thinking-2507",
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 30B A3B Thinking 2507 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 30B A3B Thinking 2507 does the answering when Jev sends it work, or when you name it yourself. Qwen3 30B A3B Thinking 2507 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 30B A3B Thinking 2507 a System One model?
- No. Qwen3 30B A3B Thinking 2507 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 30B A3B Thinking 2507 cost?
- $0.200 per million input tokens and $2.40 per million output tokens. A 4,000 token prompt with a 500 token answer costs about $0.00200, so a thousand of them is about $2.00. llm11 passes provider list price through and charges 5% when you buy credits.
- What is the Qwen3 30B A3B Thinking 2507 context window?
- 81,920 tokens, with up to 32,768 tokens in a single reply.
- Does Qwen3 30B A3B Thinking 2507 support tool calling and structured output?
- The catalogue lists tool calling, structured output and reasoning controls.
- Can I use Qwen3 30B A3B Thinking 2507 through llm11?
- Yes. Set model to qwen/qwen3-30b-a3b-thinking-2507 on the OpenAI-compatible endpoint and the request goes to it directly, with verification still running.
- Does Jev route to Qwen3 30B A3B Thinking 2507?
- Routing decisions are made by Jev, TypeSafe AI's System One model. Qwen3 30B A3B Thinking 2507 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 30B A3B Thinking 2507?
- Nearest in price and below it: Qwen Qwen3 235B A22B Thinking 2507 at $0.230 in and $2.30 out, Qwen Qwen3.5-122B-A10B at $0.260 in and $2.08 out and OpenAI GPT-5 Mini at $0.250 in and $2.00 out. Nearest in price and below Qwen3 30B A3B Thinking 2507, each within a few points of it on the intelligence index.
- Is Qwen3 30B A3B Thinking 2507 being retired?
- The catalogue lists 2026-10-09 as the date it stops being served. Move traffic before then.