Qwen / text-generation Open weights Also via API updated 1 year ago

Qwen3-30B-A3B

Name: Qwen3-30B-A3B
Price: 0.12 USD
Author: Qwen

Qwen3 is the latest generation of large language models in Qwen series, offering a comprehensive suite of dense and mixture-of-experts (MoE) models. Built upon extensive training, Qwen3 delivers groundbreaking advancements in reasoning, instruction-following, agent capabilities, and multilingual support, with the following key features:

Params

30.5 B

Context

40,960

Downloads 30d

1.1 M

Likes

982

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

Download history

daily snapshots · 106 days

▲ 249 K in the last 30 days (18.3%)

3.2 M965 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 + 40K ctx	61.1 GB	90.6 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 · api/v1

$ curl -s https://aimodelscomparison.com/api/v1/models/qwen3-30b-a3b
{
  "hf_id": "Qwen/Qwen3-30B-A3B",
  "params_b": 30.53,
  "context_length": 40960,
  "license": { "id": "apache-2.0", "commercial": "yes" },
  "downloads_30d": 1115081,
  "vram_estimates": [
    { "quant": "bf16", "gb": 72.3 }
  ],
  "updated_at": "2026-07-28T17:07:21Z"
}

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

Use via API

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

$0.12

input / 1M

$0.50

output / 1M

—

cached input / 1M

$0.62

1M in + 1M out

Context window: 40,960 tokens
Max output: 16,384 tokens
Providers: 1
Cheapest provider: DeepInfra · $0.12 / $0.50
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: 40,960
Vocabulary: 151,936
Layers / heads: 48 / 32
Licence: apache-2.0
First seen on the Hub: 2025-04-27
Training datasets: undisclosed
Added to our catalog: 2026-07-28

Family

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

Derivative Qwen3-30B-A3B-GGUF Qwen 265 K Derivative Qwen3-30B-A3B-GPTQ-Int4 Qwen 208 K Derivative Qwen3-30B-A3B-abliterated mlabonne 203 K Derivative Qwen3-30B-A3B-FP8 Qwen 187 K Derivative Qwen3-30B-A3B-GGUF MaziyarPanahi 159 K

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