Can Qwen 3 32B run on Radeon AI PRO R9700 32GB?

YES — Tight Fit

S90Excellent

Estimated from fit model

Qwen 3 32B needs ~27.5 GB VRAM. Radeon AI PRO R9700 32GB has 32.0 GB. With Q4_K_M quantization, expect ~21 tok/s.

Runtime: llama.cppCapacity: TightBandwidth: MediumStack: StandardBottleneck: Balanced

Operating mode

Choose the run profile you care about

Interactive favors responsiveness, while light API and scale-out lean harder on serving readiness. The fit stays the same, but the recommendation lens changes.

Current mode

Balanced

Balanced for general local use. Keeps the ranking neutral across personal and serving workflows.

Capabilities:

Select quantization to explore

Q4_K_M (Medium quality) — 27.5 GB, 21.0 tok/s, Tight fit

27.5 GB required32.0 GB available

86% VRAM used

Fit status

Tight fit

Decode

21.0 tok/s

TTFT

9203 ms

Safe context

34K

Memory

27.5 GB / 32.0 GB

Memory breakdown

Weights19.5 GB

KV Cache3.9 GB

Runtime0.9 GB

Headroom3.2 GB

See how fast it feels

See how fast it feelsQwen 3 32B on Radeon AI PRO R9700 32GB
1st promptCold start — includes initialization
>Solve: If a train travels at 60 mph for 2.5 hours, how far does it go?
Let me work through this step by step.

Given information:
  - Speed = 60 mph (miles per hour)
  - Time  = 2.5 hours

Formula: Distance = Speed x Time

Calculation:
  Distance = 60 mph x 2.5 h
           = 150 miles

The train travels 150 miles.

Double-check: at 60 mph the train covers 60 miles each hour. In half an hour it covers 30 miles. So in 2.5 hours: 60 + 60 + 30 = 150 miles. Confirmed.
2nd promptWarm — model ready, no init overhead
>What if the train stops for 20 minutes halfway?
The stop doesn't change the total distance covered while moving, but it affects total trip time.

Breakdown:
  - First half: 1.25 hours at 60 mph = 75 miles
  - Stop: 20 minutes (no distance)
  - Second half: 1.25 hours at 60 mph = 75 miles

Total distance: 150 miles (same)
Total time: 2.5 h + 0.33 h = 2.83 hours
Average speed: 150 / 2.83 = 53 mph

The distance stays the same but average speed drops to 53 mph because of the stop.
Estimated: 21.0 tok/s decode · 9.2s TTFT (warm) · 53 tok/s prefill

What limits this setup

This setup is broadly balanced for this model.

No major red flags

This recommendation has enough memory headroom and acceptable estimated speed for the selected workload.

Best improvement path

Performance by workload

Workload	Grade	Fit	Decode	TTFT	Context
Chat	S	Runs well	21.0 tok/s	5020 ms	34K
Coding	S	Tight fit	21.0 tok/s	9203 ms	34K
Agentic Coding	S	Runs with offload	21.0 tok/s	13386 ms	34K
Reasoning	S	Tight fit	21.0 tok/s	10876 ms	34K
RAG	S	Runs with offload	21.0 tok/s	16733 ms	34K

Quantization options

How Qwen 3 32B (32B params) fits at each quantization level on Radeon AI PRO R9700 32GB (32.0 GB usable).

Quant	Bits	VRAM	Quality	Fit
Q2_K	2	12.5 GB	Low	S88
Q3_K_S	3	15.7 GB	Low	S90
NVFP4	4

Get started

Copy-paste commands to run Qwen 3 32B on your machine.

Run

ollama run qwen3:32b

Your hardware

More models your Radeon AI PRO R9700 32GB can run

Model	Params	Grade	Decode	Capabilities
Qwen 3.6 35B A3B	35B	S	48 tok/s

Frequently asked questions

Can Radeon AI PRO R9700 32GB run Qwen 3 32B?

Yes, Radeon AI PRO R9700 32GB can run Qwen 3 32B with a S grade (Tight fit). Expected decode speed: 21.0 tok/s.

How much VRAM does Qwen 3 32B need?

Qwen 3 32B (32B parameters) requires approximately 27.5 GB of memory with Q4_K_M quantization.

What is the best quantization for Qwen 3 32B?

The recommended quantization for Qwen 3 32B is Q4_K_M, which balances quality and memory efficiency.

What speed will Qwen 3 32B run at on Radeon AI PRO R9700 32GB?

On Radeon AI PRO R9700 32GB, Qwen 3 32B achieves approximately 21.0 tokens per second decode speed with a time-to-first-token of 9203ms using Q4_K_M quantization.

Can Radeon AI PRO R9700 32GB run Qwen 3 32B for coding?

For coding workloads, Qwen 3 32B on Radeon AI PRO R9700 32GB receives a S grade with 21.0 tok/s and 34K context.

What context window can Qwen 3 32B use on Radeon AI PRO R9700 32GB?

On Radeon AI PRO R9700 32GB, Qwen 3 32B can safely use up to 34K tokens of context. The model's official context limit is 131K, but available memory constrains the safe maximum.

See all results for Radeon AI PRO R9700 32GB See all hardware for Qwen 3 32B

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