microsoft/Phi-3-medium-4k-instruct
14B params · est. 8.4 GB Q4
Head-to-head
Compare recorded specifications and inspect source links for both devices. Speed comparisons appear only when workload, runtime version, quantization, context and batch match.
Device profile
Compared here against NVIDIA GeForce RTX 3090 24GB.
Matched rows below
16 GB
320 W
Not scored
Device profile
32B Q4 full-GPU at 35-45 tok/s — or dual 3090s for 70B Q4 at 25-35 tok/s with 48GB combined
Matched rows below
24 GB
350 W
Not scored
Speed comparisons require matching runtime settings. A missing score means insufficient comparative evidence.
NVIDIA GeForce RTX 3090 24GB wins VRAM capacity.
NVIDIA GeForce RTX 4080 Super 16GB has the lower published power rating.
| Metric | NVIDIA GeForce RTX 4080 Super 16GB | NVIDIA GeForce RTX 3090 24GB |
|---|---|---|
| MyAI rating | Not scored | Not scored |
| Speed comparison | See matched rows below | See matched rows below |
| VRAM | 16 GB | 24 GB |
| TDP | 320 W | 350 W |
| MSRP | $999 | $999 |
| Workloads | 10 | 10 |
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.
microsoft/Phi-3-medium-4k-instruct
14B params · est. 8.4 GB Q4
microsoft/Phi-3.5-mini-instruct
3.8B params · est. 2.3 GB Q4
internlm/internlm2_5-7b-chat
7.7B params · est. 4.6 GB Q4
microsoft/Phi-3-mini-4k-instruct
3.8B params · est. 2.3 GB Q4