Qwen / text-generation updated 6 months ago

Qwen3-Coder-Next

Name: Qwen3-Coder-Next
Author: Qwen

Today, we're announcing Qwen3-Coder-Next, an open-weight language model designed specifically for coding agents and local development. It features the following key enhancements:

Params

79.7 B

Context

262,144

Downloads 30d

554 K

Likes

1,569

Commercial use: allowed apache-2.0 Not gated SAFETENSORS View on Hugging Face ↗

Download history

daily snapshots · 10 days

729 K552 K

Jul 28Jul 31Aug 3Aug 6

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	159.4 GB	187.7 GB	❌ Won’t fit
model.safetensors (bf16, full)	bf16 + 256K ctx	159.4 GB	558.2 GB	❌ Won’t fit

Estimate: file size × 1.1 + KV cache at 8K + 0.5 GB overhead. Not a benchmark — how we calculate this.

Run it

copy-paste, exact tags checked against the Hub

~ · curl · api/v1

$ curl -s https://aimodelscomparison.com/api/v1/models/qwen3-coder-next
{
  "hf_id": "Qwen/Qwen3-Coder-Next",
  "params_b": 79.67,
  "context_length": 262144,
  "license": { "id": "apache-2.0", "commercial": "yes" },
  "downloads_30d": 554323,
  "vram_estimates": [
    { "quant": "bf16", "gb": 187.7 }
  ],
  "updated_at": "2026-07-28T18:04:12Z"
}

est. VRAM —on RTX 4090 · 24 GBJSON API →

Specifications

Architecture: Qwen3NextForCausalLM
Parameters: 79.7 B
Tensor type: BF16
Context length: 262,144
Vocabulary: 151,936
Layers / heads: 48 / 16
Licence: apache-2.0
First seen on the Hub: 2026-01-30
Training datasets: undisclosed
Added to our catalog: 2026-07-28

Family

Base model and the most-downloaded derivatives in the catalog.

Derivative Qwen3-Coder-Next-FP8-dynamic RedHatAI 864 K Derivative Qwen3-Coder-Next-GGUF unsloth 204 K

Compare with

gpt-oss-20b 8.6 M Qwen3-32B 8.3 M dolphin-2.9.1-yi-1.5-34b 4.6 M gpt-oss-120b 4.2 M NVIDIA-Nemotron-3-Super-120B-A12B-NVFP4 2.8 M Qwen3-Coder-Next-FP8 2.2 M

Appears in

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