Side-by-side GPU comparison: specs, memory, compute performance, and live cloud pricing.
Verdict
RTX 4000 Ada has 2 GB more VRAM, making it better suited for large models and long context windows. For compute-bound workloads like training, RTX 4000 Ada delivers 6.3× higher FP16 throughput. RTX 4000 Ada supports a broader range of models (562 vs 510 from this catalog), giving more flexibility.
Specifications
| M4 (24 GB) | RTX 4000 Ada | |
|---|---|---|
| VRAM | 18 GB | 20 GB |
| VRAM Type | LPDDR5X | GDDR6 |
| Memory Bandwidth | 0.1 TB/s | 0.4 TB/s |
| FP16 Performance | 8 TFLOPS | 53 TFLOPS |
| Manufacturer | Apple | NVIDIA |
| FP8 Support | No | Yes |
| FP4 Support | No | No |
Price / Performance
Based on cheapest single-GPU on-demand pricing. Lower $/TFLOP = better compute value; lower $/GB = better memory value.
| M4 (24 GB) | RTX 4000 Ada | |
|---|---|---|
| $/hr (cheapest) | — | — |
| $/TFLOP (compute value) | — | — |
| $/GB VRAM (memory value) | — | — |
Cloud Pricing
Cheapest on-demand price per provider (single GPU).
M4 (24 GB)
No cloud pricing available.
RTX 4000 Ada
No cloud pricing available.
Model Compatibility
Models from the catalog that fit on each GPU, grouped by required precision.
M4 (24 GB) (510 models)
RTX 4000 Ada (562 models)
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Pricing data refreshed hourly · Last updated April 11, 2026 · Browse all comparisons