willitrun·ai

Can Mistral Small 3.2 24B run on RTX PRO 4500 Blackwell 32GB?

YES — Runs Great

S89Excellent
Estimated from fit model

Mistral Small 3.2 24B needs ~21.5 GB VRAM. RTX PRO 4500 Blackwell 32GB has 32.0 GB. With Q4_K_M quantization, expect ~55 tok/s.

Runtime: OllamaCapacity: RoomyBandwidth: HighStack: BasicBottleneck: Balanced
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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) 21.5 GB, 55.3 tok/s, Runs well
21.5 GB required32.0 GB available
67% VRAM used

Fit status

Runs well

Decode

55.3 tok/s

TTFT

3503 ms

Safe context

85K

Memory

21.5 GB / 32.0 GB

Memory breakdown

Weights14.6 GB
KV Cache2.4 GB
Runtime1.2 GB
Headroom3.2 GB

See how fast it feels

See how fast it feelsMistral Small 3.2 24B on RTX PRO 4500 Blackwell 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: 55.3 tok/s decode · 3.5s TTFT (warm) · 138 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

WorkloadGradeFitDecodeTTFTContext
ChatSRuns well55.3 tok/s1911 ms85K
CodingSRuns well55.3 tok/s3503 ms85K
Agentic CodingSRuns well55.3 tok/s5095 ms85K
ReasoningSRuns well55.3 tok/s4140 ms85K
RAGSRuns well55.3 tok/s6369 ms85K

Inference speed

Mistral Small 3.2 24B inference speed — tokens per second by GPU & Mac

Estimated decode speed (tokens/sec) for Mistral Small 3.2 24B at Q4_K_M across popular GPUs and Apple Silicon, using the fastest local runtime per device. Fastest is RTX 5090 32GB at ~88 tok/s. Speed is memory-bandwidth bound, so cards that fit the whole model in VRAM run far faster than ones that offload to system RAM.

GPU / MacMemoryQuantSpeed (tok/s)Fits?
NVIDIARTX 5090 32GB
32 GBQ4_K_M88.2Fits
NVIDIARTX 4090 24GB
24 GBQ4_K_M56.3Tight
RX 7900 XTX 24GB
24 GBQ4_K_M50.8Tight
NVIDIARTX 3090 24GB
24 GBQ4_K_M48.1Tight
Mac Studio M3 Ultra 256GB
256 GBQ4_K_M40.9Fits
MacBook Pro M4 Max 128GB
128 GBQ4_K_M36.8Fits
MacBook Pro M4 Max 64GB
64 GBQ4_K_M36.8Fits
Mac Studio M2 Ultra 128GB
128 GBQ4_K_M34.1Fits
Mac Studio M1 Ultra 128GB
128 GBQ4_K_M32.3Fits
MacBook Pro M4 Pro 48GB
48 GBQ4_K_M23.2Fits
NVIDIARTX 4080 Super 16GB
16 GBQ4_K_M21.3Too big
MacBook Pro M3 Max 64GB
64 GBQ4_K_M17.6Fits
MacBook Pro M1 Max 64GB
64 GBQ4_K_M16.2Fits
NVIDIARTX 4070 12GB
12 GBQ4_K_M7.5Too big
NVIDIARTX 3060 12GB
12 GBQ4_K_M4.7Too big
NVIDIARTX 4060 8GB
8 GBQ4_K_M2.2Too big

Estimates for single-stream decoding at Q4_K_M; real tokens/sec varies with prompt length, context, batch size, and runtime build. Prompt processing (prefill) is faster than the decode figures shown here.

Quantization options

How Mistral Small 3.2 24B (24B params) fits at each quantization level on RTX PRO 4500 Blackwell 32GB (32.0 GB usable).

QuantBitsVRAMQualityFit
Q2_K
2
9.4 GB
LowA80
Q3_K_S
3
11.8 GB
LowA81
NVFP4
4
13.4 GB
MediumA82
Q4_K_M
4
14.6 GB
MediumA82
Q5_K_M
5
17.3 GB
HighA83
Q6_K
6
19.7 GB
HighA83
Q8_0Best for your GPU
8
25.7 GB
Very HighA82
F16
16
49.2 GB
MaximumF0

Get started

Copy-paste commands to run Mistral Small 3.2 24B on your machine.

Run

ollama run mistral-small3.2

Your hardware

More models your RTX PRO 4500 Blackwell 32GB can run

ModelParamsGradeDecodeCapabilities
AlibabaQwen3-Coder 30B A3B Instruct30.5BS113.8 tok/s
AlibabaQwen 3.5 27B27BS49.4 tok/s
AlibabaQwen 3.6 27B27BS49.5 tok/s
AlibabaQwen 3.6 35B A3B35BS95.6 tok/s
AlibabaQwen3-VL 30B A3B Instruct30BS117.7 tok/s

Frequently asked questions

Can RTX PRO 4500 Blackwell 32GB run Mistral Small 3.2 24B?

Yes, RTX PRO 4500 Blackwell 32GB can run Mistral Small 3.2 24B with a S grade (Runs well). Expected decode speed: 55.3 tok/s.

How much VRAM does Mistral Small 3.2 24B need?

Mistral Small 3.2 24B (24B parameters) requires approximately 21.5 GB of memory with Q4_K_M quantization.

What is the best quantization for Mistral Small 3.2 24B?

The recommended quantization for Mistral Small 3.2 24B is Q4_K_M, which balances quality and memory efficiency.

What speed will Mistral Small 3.2 24B run at on RTX PRO 4500 Blackwell 32GB?

On RTX PRO 4500 Blackwell 32GB, Mistral Small 3.2 24B achieves approximately 55.3 tokens per second decode speed with a time-to-first-token of 3503ms using Q4_K_M quantization.

Can RTX PRO 4500 Blackwell 32GB run Mistral Small 3.2 24B for coding?

For coding workloads, Mistral Small 3.2 24B on RTX PRO 4500 Blackwell 32GB receives a S grade with 55.3 tok/s and 85K context.

What context window can Mistral Small 3.2 24B use on RTX PRO 4500 Blackwell 32GB?

On RTX PRO 4500 Blackwell 32GB, Mistral Small 3.2 24B can safely use up to 85K tokens of context. The model's official context limit is 131K, but available memory constrains the safe maximum.

See all results for RTX PRO 4500 Blackwell 32GBSee all hardware for Mistral Small 3.2 24B
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