Qwen3.8 Omni Flash with Jev
Qwen3.8 Omni Flash is a model from Qwen, released 2026-09-21. It costs $0.150 per million input tokens and $0.470 per million output tokens, reads up to 1M tokens of context, and writes up to 131,072 tokens in one reply. Through llm11, set model to qwen/qwen3.8-omni-flash.
- Input price
- $0.150 / 1M
- Output price
- $0.470 / 1M
- Context window
- 1M tokens
- Max output
- 131K tokens
- Cached input
- $0.016 / 1M
- Released
- 2026-09-21
- Accepts
- text, image, audio, video
Read from the provider's prompt cache
Read from the live catalogue and refreshed daily. At blended list price, 75% of the 332 priced models we can call cost more.
Using Qwen3.8 Omni Flash 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 Omni Flash does the answering when Jev sends it work, or when you name it yourself. Qwen3.8 Omni Flash 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 Qwen3.8 Omni Flash 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 | $0.00017 | $0.169 |
| Question over retrieved documents | 4,000 / 500 | $0.00083 | $0.835 |
| Long document summary | 30,000 / 1,000 | $0.00497 | $4.97 |
Cheaper models to try
The catalogue has no benchmark score for Qwen3.8 Omni Flash, so this is a price ordering. It does not claim these answer as well.
| Model | Input / 1M | Output / 1M | Context | Released |
|---|---|---|---|---|
| Qwen Qwen3 30B A3B | $0.120 | $0.500 | 131K | |
| Qwen Qwen3 VL 8B InstructRetires 2026-10-09 | $0.117 | $0.455 | 262K | |
| Qwen Qwen3 8BRetires 2026-10-09 | $0.117 | $0.455 | 131K | |
| OpenAI GPT-6 Luna | $0.100 | $0.500 | 1.05M |
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-omni-flash",
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 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 | |
| Qwen3.7 Flash | $0.030 | $0.130 | 1M |
Questions
- What is Qwen3.8 Omni Flash 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 Omni Flash does the answering when Jev sends it work, or when you name it yourself. Qwen3.8 Omni Flash 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 Qwen3.8 Omni Flash a System One model?
- No. Qwen3.8 Omni Flash 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 Omni Flash cost?
- $0.150 per million input tokens and $0.470 per million output tokens. A 4,000 token prompt with a 500 token answer costs about $0.00083, so a thousand of them is about $0.835. llm11 passes provider list price through and charges 5% when you buy credits.
- What is the Qwen3.8 Omni Flash context window?
- 1,000,000 tokens, with up to 131,072 tokens in a single reply.
- Does Qwen3.8 Omni Flash support tool calling and structured output?
- The catalogue lists tool calling, structured output and reasoning controls.
- Can I use Qwen3.8 Omni Flash through llm11?
- Yes. Set model to qwen/qwen3.8-omni-flash on the OpenAI-compatible endpoint and the request goes to it directly, with verification still running.
- Does Jev route to Qwen3.8 Omni Flash?
- Routing decisions are made by Jev, TypeSafe AI's System One model. Qwen3.8 Omni Flash 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 Qwen3.8 Omni Flash?
- Nearest in price and below it: Qwen Qwen3 30B A3B at $0.120 in and $0.500 out, Qwen Qwen3 VL 8B Instruct at $0.117 in and $0.455 out and Qwen Qwen3 8B at $0.117 in and $0.455 out. The catalogue has no benchmark score for Qwen3.8 Omni Flash, so this is a price ordering. It does not claim these answer as well.