Qwen / text-generation Open weights Also via API updated 11 months ago

Qwen3-Coder-30B-A3B-Instruct

Name: Qwen3-Coder-30B-A3B-Instruct
Price: 0.15 USD
Author: Qwen

Qwen3-Coder is available in multiple sizes. Today, we're excited to introduce Qwen3-Coder-30B-A3B-Instruct. This streamlined model maintains impressive performance and efficiency, featuring the following key enhancements:

Params

30.5 B

Context

262,144

Downloads 30d

1.6 M

Likes

1,324

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

Download history

daily snapshots · 106 days

▲ 1.2 M in the last 30 days (315.3%)

1.6 M384 K

Jul 28Sep 1Oct 6Nov 10

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	61.1 GB	72.3 GB	❌ Won’t fit
model.safetensors (bf16, full)	bf16 + 256K ctx	61.1 GB	214.2 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-30b-a3b-instruct
{
  "hf_id": "Qwen/Qwen3-Coder-30B-A3B-Instruct",
  "params_b": 30.53,
  "context_length": 262144,
  "license": { "id": "apache-2.0", "commercial": "yes" },
  "downloads_30d": 1624686,
  "vram_estimates": [
    { "quant": "bf16", "gb": 72.3 }
  ],
  "updated_at": "2026-07-28T18:03:07Z"
}

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

Use via API

via OpenRouter · USD per 1M tokens · synced 2026-11-10

$0.15

input / 1M

$0.60

output / 1M

—

cached input / 1M

$0.75

1M in + 1M out

Context window: 262,144 tokens
Max output: 235,929 tokens
Providers: 2
Cheapest provider: SiliconFlow · $0.07 / $0.28
Best throughput: —
AA Intelligence / Coding / Agentic: — / — / —

✓ Tool calling ✗ Reasoning ✓ Structured outputs ✗ Image input ✗ File input ✗ Audio input ✗ Prompt caching

Specifications

Architecture: Qwen3MoeForCausalLM
Parameters: 30.5 B
Tensor type: BF16
Context length: 262,144
Vocabulary: 151,936
Layers / heads: 48 / 32
Licence: apache-2.0
First seen on the Hub: 2025-07-31
Training datasets: undisclosed
Added to our catalog: 2026-07-28

Family

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

Derivative Qwen3-Coder-30B-A3B-Instruct-GGUF unsloth 486 K Derivative Qwen3-Coder-30B-A3B-Instruct-AWQ-4bit cyankiwi 406 K Derivative Qwen3-Coder-30B-A3B-Instruct-AWQ QuantTrio 167 K Derivative Qwen3-Coder-30B-A3B-Instruct-MLX-4bit lmstudio-community 156 K Derivative Qwen3-Coder-30B-A3B-Instruct-AWQ dark-side-of-the-code 155 K

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Appears in

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