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Batch Inference is now generally available on Runpod Serverless

Qwen

Qwen3.8 Flash Next

Qwen's 180B-parameter open vision-language model with a 256K-token context, ready to serve on Runpod Serverless with vLLM or on a Pod.

Vision + language
Text generation
180B · 256K context

Qwen3.8 Flash Next

Specifications

Provider
Qwen
Modality
Vision + language
Task
Text generation
Parameters
180B
Active parameters
Context
256K tokens
Precision
BF16
Weights
360
License
qwen-community-1.0
Released
2026-08-23
Endpoint ID
Weights on Hugging Face
Qwen/Qwen3.8-Flash-Next

Frequently asked questions

How do I deploy Qwen3.8 Flash Next on Runpod?

Deploy the vLLM worker from the Runpod Hub as a Serverless endpoint and set MODEL_NAME to Qwen/Qwen3.8-Flash-Next. The endpoint is OpenAI-compatible and scales to zero when idle. You can also run vLLM on a Pod.

What GPU do I need to run Qwen3.8 Flash Next?

Start with 8× H100 (640 GB VRAM). The weights take about 360 GB; longer contexts and more concurrent requests need extra memory for the KV cache.

How much does Qwen3.8 Flash Next cost on Runpod?

Serverless endpoints and Pods bill per second for the GPU you choose. A Serverless endpoint costs nothing while scaled to zero.

qwen-qwen3-8-flash-next
Qwen/Qwen3.8-Flash-Next
Vision + language
2026-08-23 17:00
8× H100