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

Qwen3-32B

Name: Qwen3-32B
Price: 0.08 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

32.8 B

Context

40,960

Downloads 30d

3.0 M

Likes

792

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

Download history

daily snapshots · 106 days

▲ 486 K in the last 30 days (14.0%)

10.1 M2.8 M

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	65.5 GB	77.5 GB	❌ Won’t fit
model.safetensors (bf16, full)	bf16 + 40K ctx	65.5 GB	97.1 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/qwen3-32b
{
  "hf_id": "Qwen/Qwen3-32B",
  "params_b": 32.76,
  "context_length": 40960,
  "license": { "id": "apache-2.0", "commercial": "yes" },
  "downloads_30d": 2980175,
  "vram_estimates": [
    { "quant": "bf16", "gb": 77.5 }
  ],
  "updated_at": "2026-07-28T17:06:30Z"
}

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

Use via API

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

$0.08

input / 1M

$0.28

output / 1M

—

cached input / 1M

$0.36

1M in + 1M out

Context window: 40,960 tokens
Max output: 16,384 tokens
Providers: 3
Cheapest provider: DeepInfra · $0.08 / $0.28
Best throughput: —
AA Intelligence / Coding / Agentic: — / 15.3 / 0.9

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

Specifications

Architecture: Qwen3ForCausalLM
Parameters: 32.8 B
Tensor type: BF16
Context length: 40,960
Vocabulary: 151,936
Layers / heads: 64 / 64
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 Qwen3-32B-AWQ Qwen 222 K Derivative Qwen3-32B-GGUF Qwen 186 K Derivative Qwen3-32B-FP8 Qwen 185 K Derivative Qwen3-32B-GGUF MaziyarPanahi 158 K Derivative Qwen3-32B-NVFP4 RedHatAI 144 K

Compare with any text-generation model

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Appears in

Commercial-use text models