Side-by-side GPU comparison: specs, memory, compute performance, and live cloud pricing.
Verdict
M4 (24 GB) has 2 GB more VRAM, making it better suited for large models and long context windows. For compute-bound workloads like training, RTX 4070 Ti Super delivers 10.5× higher FP16 throughput. M4 (24 GB) supports a broader range of models (510 vs 502 from this catalog), giving more flexibility.
Specifications
| M4 (24 GB) | RTX 4070 Ti Super | |
|---|---|---|
| VRAM | 18 GB | 16 GB |
| VRAM Type | LPDDR5X | GDDR6X |
| Memory Bandwidth | 0.1 TB/s | 0.7 TB/s |
| FP16 Performance | 8 TFLOPS | 88 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 4070 Ti Super | |
|---|---|---|
| $/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 4070 Ti Super
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 4070 Ti Super (502 models)
You might also compare…
Pricing data refreshed hourly · Last updated April 11, 2026 · Browse all comparisons