microsoft/Phi-3-medium-4k-instruct
14B params · est. 8.4 GB Q4
NVIDIA GeForce RTX 4090 24GB: likely fitAMD Instinct MI300X 192GB: likely fit
Head-to-head
NVIDIA GeForce RTX 4090 24GB vs AMD Instinct MI300X 192GB
Dedicated comparison page for two real hardware profiles. This is built from your benchmark database, trust metadata, and buyer flow instead of generic spec-sheet comparisons.
Device profile
NVIDIA GeForce RTX 4090 24GB
32B-class Q4 full-GPU at 70+ tok/s — Qwen 3 32B, Qwen 2.5 Coder 32B, QwQ 32B all fit comfortably
Curated Aggregate·2026-05-2524GB / $1.6k
Best LLM
540 tok/s
VRAM
24 GB
TDP
450 W
Rating
9.1
Device profile
AMD Instinct MI300X 192GB
Large-model inference where VRAM capacity matters more than peak compute — 405B Q4 with headroom, 70B FP16 comfortably
Curated Aggregate·2026-03-19192GB / $15k
Best LLM
920 tok/s
VRAM
192 GB
TDP
750 W
Rating
9.3
Quick verdict
NVIDIA GeForce RTX 4090 24GB scores 9.1 while AMD Instinct MI300X 192GB scores 9.3 on MyAIHardware's composite rating.
AMD Instinct MI300X 192GB wins VRAM capacity.
NVIDIA GeForce RTX 4090 24GB is the lower-power path.
On shared workload evidence, Llama 3 8B Q4 is benchmarked at 132 tok/s for NVIDIA GeForce RTX 4090 24GB and 122 tok/s for AMD Instinct MI300X 192GB.
| Metric | NVIDIA GeForce RTX 4090 24GB | AMD Instinct MI300X 192GB |
|---|---|---|
| MyAI rating | 9.1 | 9.3 |
| Best LLM | 540 tok/s | 920 tok/s |
| VRAM | 24 GB | 192 GB |
| TDP | 450 W | 750 W |
| MSRP | $1.6k | $15k |
| Workloads | 12 | 12 |
Shared benchmark rows
Llama 3 8B Q4
Llama 3 8B Q4
NVIDIA GeForce RTX 4090 24GB
132 tok/s
Q4_K_M / 24GB / 2025-10-02
AMD Instinct MI300X 192GB
122 tok/s
Q4_K_M / 192GB / 2025-04-08
Mistral 7B Q4
Mistral 7B
NVIDIA GeForce RTX 4090 24GB
145 tok/s
Q4_K_M / 24GB / 2026-03-19
AMD Instinct MI300X 192GB
268 tok/s
Q4_K_M / 192GB / 2025-05-19
Gemma 2 9B Q4
Gemma 2 9B
NVIDIA GeForce RTX 4090 24GB
108 tok/s
Q4_K_M / 24GB / 2025-03-07
AMD Instinct MI300X 192GB
188 tok/s
Q4_K_M / 192GB / 2025-12-08
DeepSeek-R1 Distill 7B
DeepSeek-R1 7B
NVIDIA GeForce RTX 4090 24GB
118 tok/s
Q4_K_M / 24GB / 2026-01-02
AMD Instinct MI300X 192GB
215 tok/s
Q4_K_M / 192GB / 2026-03-19
Qwen 2.5 14B Q4
Qwen 2.5 14B
NVIDIA GeForce RTX 4090 24GB
68.0 tok/s
Q4_K_M / 24GB / 2025-07-04
AMD Instinct MI300X 192GB
142 tok/s
Q4_K_M / 192GB / 2024-12-04
Llama 3 70B Q4
Llama 3 70B Q4
NVIDIA GeForce RTX 4090 24GB
14.0 tok/s
Q4_K_M / 24GB / 2026-03-08
AMD Instinct MI300X 192GB
72.0 tok/s
Q4_K_M / 192GB / 2025-07-11
External quality layer
Best open models likely to fit this class
This shortlist cross-references the external OpenEvals snapshot with an approximate Q4-class VRAM estimate. Use it to sanity-check whether the hardware you are comparing can host strong open models, not just benchmark toy workloads.
91.0
Qwen/Qwen2-72B
73B params · est. 43.6 GB Q4
NVIDIA GeForce RTX 4090 24GB: tight / noAMD Instinct MI300X 192GB: likely fit
microsoft/Phi-3.5-mini-instruct
3.8B params · est. 2.3 GB Q4
NVIDIA GeForce RTX 4090 24GB: likely fitAMD Instinct MI300X 192GB: likely fit
internlm/internlm2_5-7b-chat
7.7B params · est. 4.6 GB Q4
NVIDIA GeForce RTX 4090 24GB: likely fitAMD Instinct MI300X 192GB: likely fit