Qwen3-Coder-480B-A35B-Instruct
Today, we're announcing Qwen3-Coder, our most agentic code model to date. Qwen3-Coder is available in multiple sizes, but we're excited to introduce its most powerful variant first: Qwen3-Coder-480B-A35B-Instruct. featuring the following key enhancements:
Params
480.2 B
Context
262,144
Downloads 30d
54 K
Likes
1,384
Download history
tracking started — chart appears after 7 days of snapshots (5 recorded)54 K downloads in the last 30 days
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 | 960.3 GB | 1,128.9 GB | ❌ Won’t fit |
| model.safetensors (bf16, full) | bf16 + 256K ctx | 960.3 GB | 3,361.6 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 -s https://aimodelscomparison.com/api/v1/models/qwen3-coder-480b-a35b-instruct
{
"hf_id": "Qwen/Qwen3-Coder-480B-A35B-Instruct",
"params_b": 480.15,
"context_length": 262144,
"license": { "id": "apache-2.0", "commercial": "yes" },
"downloads_30d": 54127,
"vram_estimates": [
{ "quant": "bf16", "gb": 1128.9 }
],
"updated_at": "2026-10-19T06:00:51Z"
}
Use via API
via OpenRouter · USD per 1M tokens · synced 2026-10-24$0.30
input / 1M
$1.00
output / 1M
$0.10
cached input / 1M
$1.30
1M in + 1M out
- Context window
- 262,144 tokens
- Max output
- 65,536 tokens
- Providers
- 3
- Cheapest provider
- DeepInfra · $0.30 / $1.00
- Best throughput
- —
- AA Intelligence / Coding / Agentic
- 11.9 / — / —
✓ Tool calling
✗ Reasoning
✓ Structured outputs
✗ Image input
✗ File input
✗ Audio input
✓ Prompt caching
Specifications
- Architecture
- Qwen3MoeForCausalLM
- Parameters
- 480.2 B
- Tensor type
- BF16
- Context length
- 262,144
- Vocabulary
- 151,936
- Layers / heads
- 62 / 96
- Licence
- apache-2.0
- First seen on the Hub
- 2025-07-22
- Training datasets
- undisclosed
- Added to our catalog
- 2026-10-20
Compare with any text-generation model