Model Detail

Qwen3.8-Flash-Next is a multimodal model with 90.0B parameters released by Qwen. The model is registered under the image-text-to-text pipeline tag on Hugging Face, and supports text+image+video->text inputs, distributed under a other license.

Qwen3.8-Flash-Next is priced at $0.15/M input tokens and $0.47/M output tokens. Operationally the model offers a 1000K-token context window, which matters when sizing it for prompt-heavy or latency-sensitive workloads. At this input rate the model sits in the commodity tier and is suitable for high-volume workloads where per-call cost dominates the decision.

Qwen3.8-Flash-Next ships with 90.0B parameters. Total weight footprint is approximately 180.0 GB, which is the relevant figure when planning local-inference VRAM. Distribution is governed by the other license — review the exact terms before commercial deployment.

Downloads of Qwen3.8-Flash-Next have moved +3.9% over the past 24 hours, +35.8% over the trailing seven days, +245.2% over the trailing thirty days. That puts the model in active uptrend territory; a sustained move of this size usually reflects a recent release, a viral integration, or a benchmark surprise rather than steady-state demand. These numbers are signal, not guarantee — week-over-week download counts on Hugging Face also reflect mirror traffic, CI scrapes, and one-off benchmarking runs.

Qwen3.8-Flash-Next is best fit for mixed text-and-image reasoning tasks such as document understanding, high-volume batch jobs where per-call cost dominates the budget, and long-context tasks such as full-codebase analysis or book-length summarization (1000K tokens). Treat this as a starting matrix rather than a benchmark verdict — the right deployment usually depends on the specific evaluation suite that mirrors your workload.