Qwen3.8-Flash-Next
> [!Note] > This repository contains model weights and configuration files for the post-trained model in the Hugging Face Transformers format. > > These artifacts are compatible with Hugging Face Transformers, vLLM, SGLang, TokenSpeed, etc.
Params
180.0 B
Context
—
Downloads 30d
2.7 M
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daily snapshots · 29 days2.7 M830 K
Sep 25Oct 4Oct 14Oct 23
Can you run it?
Estimated VRAM at 8K context unless noted. Pick your hardware to see the verdict per quantization.
| File | Quant | Size | Est. VRAM | Verdict on RTX 4090 · 24 GB |
|---|---|---|---|---|
| model.safetensors | bf16 | 360.0 GB | 423.5 GB | ❌ Won’t fit |
Estimate: file size × 1.1 + KV cache at 8K + 0.5 GB overhead. Not a benchmark — how we calculate this.
Use via API
via OpenRouter · USD per 1M tokens · synced 2026-10-23$0.15
input / 1M
$0.47
output / 1M
$0.016
cached input / 1M
$0.62
1M in + 1M out
- Context window
- 1,000,000 tokens
- Max output
- 131,072 tokens
- Providers
- 1
- Cheapest provider
- Alibaba · $0.15 / $0.47
- Best throughput
- —
- AA Intelligence / Coding / Agentic
- — / — / —
✓ Tool calling
✓ Reasoning
✓ Structured outputs
✓ Image input
✗ File input
✗ Audio input
✓ Prompt caching
Specifications
- Architecture
- Qwen4ExpForConditionalGeneration
- Parameters
- 180.0 B
- Tensor type
- BF16
- Licence
- other
- First seen on the Hub
- 2026-08-24
- Training datasets
- undisclosed
- Added to our catalog
- 2026-09-25
Family
Base model and the most-downloaded derivatives in the catalog.
Compare with any image-text-to-text model
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