Qwen-72B
Qwenothertext

Qwen-72B

Updated Oct 19, 2026
Parameters
72.3B
Context
32,768
License
other
Updated
Oct 19, 2026

Intelligence benchmarks

Artificial Analysis indexes - compared with the best open and proprietary models

Intelligence

5.4

AA Index

Intelligence Index - Qwen-72B vs. the field

Best open-weight models (you can run locally) and leading proprietary models for context.

Claude Opus 5.5
57.6
closed
Claude Sonnet 5.5
56
closed
Muse Wonder Full
55.8
closed
Claude Fable 5.1
53.4
closed
GPT-6 Astra
52.7
closed
MiMo-V2.6-Pro
46.3
open
GLM-5.3
44.8
open
Qwen-72B
5.4
open

Benchmark data from Artificial Analysis · updated 2026-10-19.

Will it run on your hardware?

Pick your GPU memory - see which quantizations fit, and the cheapest card for the rest

Too big for 24 GB at any quant
0 of 4 quantizations fit Qwen-72B with real runtime overhead.
Q4_K_M
42 GB
Q5_K_M
51 GB
Q8_0
77 GB
FP16
145 GB
fits tight too big

Need an exact figure for your context length? Use the VRAM calculator.

Run it locally

Copy-paste - running in under a minute

vLLMOpenAI-compatible API
vllm serve Qwen/Qwen-72B

New to this? Start with Ollama · serve to many users with vLLM.

Deep dive

Notes, sources, and the full write-up

Qwen-72B is a 72.3B-parameter other model from Qwen. At Q4_K_M it needs roughly 42 GB of VRAM, placing it in the 24–48 GB hardware tier.

Popularity

Qwen-72B has 512,713 downloads in the last month on HuggingFace and 360 likes.

Frequently asked

Quick answers to common questions

How much VRAM does Qwen-72B need?

Qwen-72B with 72.3B parameters needs approximately 42 GB at Q4_K_M quantization. Use our VRAM calculator for an exact estimate.

Is Qwen-72B better than other Qwen models?

Qwen-72B has 72.3B parameters with 32,768 context - a strong choice for general use.

What license is Qwen-72B under?

Qwen-72B is released under the other license, making it suitable for most commercial and personal projects.

What hardware runs Qwen-72B well?

With 72.3B parameters, Qwen-72B requires adequate VRAM. High-end GPUs like the RTX 4090 (24GB), RTX 5090 (32GB), or Mac Studio with unified memory are good options. Check our hardware directory for specific recommendations.

What is the best quantization for Qwen-72B?

Q4_K_M is the recommended sweet spot - ~98% of FP16 quality at ~27% of the size. Q5_K_M (~51 GB) is an option if you have spare VRAM. Use our VRAM calculator to compare.

How long can Qwen-72B's context window handle?

Qwen-72B supports a 32,768-token context window - enough for most medium-length documents and conversations. Real-world usable context may vary by implementation.

What models compete with Qwen-72B?

Qwen-72B competes with other 36B–108B. Browse our model directory for comparisons, benchmarks, and community reviews to find the best fit.

Nearby options

Similar models and compatible hardware by spec