Qwen3.8 2.4T A95B with Jev
Qwen3.8 2.4T A95B is a model from Qwen, released 2026-08-12. It costs $2.00 per million input tokens and $6.00 per million output tokens, reads up to 1.05M tokens of context, and writes up to 131,072 tokens in one reply. Through llm11, set model to qwen/qwen3.8-2.4t-a95b.
- Input price
- $2.00 / 1M
- Output price
- $6.00 / 1M
- Context window
- 1.05M tokens
- Max output
- 131K tokens
- Cached input
- $0.250 / 1M
- Released
- 2026-08-12
- Accepts
- text
- Intelligence index
- 39.9
Read from the provider's prompt cache
Artificial Analysis, via the catalogue
Read from the live catalogue and refreshed daily. At blended list price, 22% of the 332 priced models we can call cost more.
Using Qwen3.8 2.4T A95B 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. Qwen3.8 2.4T A95B does the answering when Jev sends it work, or when you name it yourself. Qwen3.8 2.4T A95B 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 Qwen3.8 2.4T A95B 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 | $0.00220 | $2.20 |
| Question over retrieved documents | 4,000 / 500 | $0.011 | $11.00 |
| Long document summary | 30,000 / 1,000 | $0.066 | $66.00 |
Cheaper models to try
Nearest in price and below Qwen3.8 2.4T A95B, each within a few points of it on the intelligence index.
| Model | Input / 1M | Output / 1M | Context | Index | Released |
|---|---|---|---|---|---|
| Google Gemini 3.8 Flash | $0.750 | $3.75 | 1.05M | 40.9 | |
| Google Gemini 3.7 Flash | $0.750 | $3.75 | 1.05M | 39.1 | |
| DeepSeek DeepSeek V4 Pro 0813 | $0.480 | $4.20 | 1.05M | 36 | |
| DeepSeek DeepSeek V4.1 Flash | $0.300 | $1.20 | 1.05M | 39.5 |
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/qwen3.8-2.4t-a95b",
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 | |
| Qwen3.7 Flash | $0.030 | $0.130 | 1M |
Questions
- What is Qwen3.8 2.4T A95B 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. Qwen3.8 2.4T A95B does the answering when Jev sends it work, or when you name it yourself. Qwen3.8 2.4T A95B 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 Qwen3.8 2.4T A95B a System One model?
- No. Qwen3.8 2.4T A95B 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 Qwen3.8 2.4T A95B cost?
- $2.00 per million input tokens and $6.00 per million output tokens. A 4,000 token prompt with a 500 token answer costs about $0.011, so a thousand of them is about $11.00. llm11 passes provider list price through and charges 5% when you buy credits.
- What is the Qwen3.8 2.4T A95B context window?
- 1,048,576 tokens, with up to 131,072 tokens in a single reply.
- Does Qwen3.8 2.4T A95B support tool calling and structured output?
- The catalogue lists tool calling, structured output and reasoning controls.
- Can I use Qwen3.8 2.4T A95B through llm11?
- Yes. Set model to qwen/qwen3.8-2.4t-a95b on the OpenAI-compatible endpoint and the request goes to it directly, with verification still running.
- Does Jev route to Qwen3.8 2.4T A95B?
- Routing decisions are made by Jev, TypeSafe AI's System One model. Qwen3.8 2.4T A95B 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 Qwen3.8 2.4T A95B?
- Nearest in price and below it: Google Gemini 3.8 Flash at $0.750 in and $3.75 out, Google Gemini 3.7 Flash at $0.750 in and $3.75 out and DeepSeek DeepSeek V4 Pro 0813 at $0.480 in and $4.20 out. Nearest in price and below Qwen3.8 2.4T A95B, each within a few points of it on the intelligence index.