[KongchangAI]
ModelQ38FN

Qwen 3.8 Flash Next

A lightweight, efficient inference model in the Qwen series that incorporates an Engram mechanism as an architectural improvement. It aims to enhance intelligence while maintaining a small model size, making it suitable for local deployment scenarios.

Core Facts

Timeline (last 90 days)

Oct 8

The open-source project StraightA claims to be able to run the 125B-parameter Qwen 3.8 Flash Next model on a consumer-grade PC with more than 12G of VRAM, provided the system is equipped with 35 to 55G of RAM.

Unverified50%
Oct 5

Strata is an open-source inference runtime capable of running the 125-billion-parameter Qwen3.8 Flash Next model on an RTX 5070 (12 GB VRAM) at an output speed of approximately 90 tokens per second.

Unverified50%
Sep 27

A Reddit user ran Qwen 3.8 Flash Next on a hardware configuration featuring dual 3090s and expanded memory.

Expired50%
Sep 27

Qwen 3.8 Flash Next powered by Codex CLI outperformed GPT 5.6 Luna on an actual project.

Expired50%
Sep 13

On the Qwen 3.8 Flash Next model, decoding performance doubled to 52 tok/s.

Unverified50%
Sep 5

Qwen 3.8 Flash Next is comparable to DeepSeek R1 Pro on certain tasks.

Expired60%
Sep 5

Qwen 3.8 Flash Next adopts a Mixture of Experts (MoE) architecture.

Verified80%
Sep 5

Qwen 3.8 Flash Next is permanently free to download, deploy, and use commercially, with no subscription fees required.

Unverified60%
Sep 5

Qwen 3.8 Flash Next is completely free and open-source.

Unverified50%
Sep 5

On a dual AGX Orin system, Qwen 3.8 Flash Next achieves an inference speed of 38 tokens/second.

Unverified60%

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