NVIDIA RTX 4070 SUPER vs NVIDIA RTX 4070
Side-by-side local AI comparison — VRAM, memory bandwidth, model compatibility, and estimated tokens per second across 87 open-weight models.
Quick verdict
These GPUs are closely matched. Both offer 12 GB VRAM and run 29 models natively. The NVIDIA RTX 4070 is 0% faster at token generation due to higher memory bandwidth.
Analysis
The RTX 4070 SUPER and the base RTX 4070 launched at the identical $599 MSRP, one year apart, with the SUPER packing 22% more CUDA cores. For gamers that's a real, if modest, upgrade. For local LLM inference on this site's calculator, it isn't an upgrade at all.
Both cards share the exact same AD104-family memory subsystem: 12GB of GDDR6X on a 192-bit bus at 504 GB/s. Since this site's decode model is driven entirely by VRAM capacity and memory bandwidth, not CUDA core count, every one of the 86 models this site tracks returns bit-for-bit identical results on both cards: Llama 3.1 8B decodes at 34.2 tok/s at Q8_0 (10.73 GB) on both, and Qwen3 14B fits natively at 38.7 tok/s at Q3_K_M (9.48 GB) on both too. The RTX 4070 SUPER's extra 1,280 CUDA cores over the base 4070 (7,168 vs 5,888) show up in GamersNexus's measured 15% gaming uplift and in compute-bound work like prompt processing, neither of which this site's calculator models.
Bottom line: For local LLM inference specifically, the RTX 4070 SUPER buys nothing over the base RTX 4070: identical VRAM, identical bandwidth, identical tokens per second on every model. If local inference is the only workload that matters, buy whichever card is cheaper on the used or discounted market. The SUPER's real advantage, faster gaming and general compute, is worth paying for only if those workloads matter too.
Specs comparison
| Spec | NVIDIA RTX 4070 SUPER | NVIDIA RTX 4070 |
|---|---|---|
| VRAM | 12 GB | 12 GB |
| Memory type | GDDR6X | GDDR6X |
| Bandwidth | 504 GB/s | 504 GB/s |
| Architecture | Ada Lovelace | Ada Lovelace |
| Backend | CUDA | CUDA |
| Tier | Consumer | Consumer |
| Released | 2024 | 2023 |
| Models (native) | 29 | 29 |
Estimated tokens per second
Computed from memory bandwidth and model active-parameter weight. Assumes model fits natively in VRAM.
| Model | NVIDIA RTX 4070 SUPER | NVIDIA RTX 4070 | Delta |
|---|---|---|---|
| Llama 3.3 70B Instruct(70B) | — | — | — |
| Qwen 3.6 27B(27B) | — | — | — |
| Llama 3.1 8B Instruct(8B) | 34.2 t/s(Q8_0) | 34.2 t/s(Q8_0) | +0% |
| Qwen 2.5 7B Instruct(7.6B) | 38.3 t/s(Q8_0) | 38.3 t/s(Q8_0) | +0% |
Delta is NVIDIA RTX 4070 SUPER relative to NVIDIA RTX 4070.
Only NVIDIA RTX 4070 SUPER can run(0)
No exclusive models — NVIDIA RTX 4070 can run everything NVIDIA RTX 4070 SUPER can.
Only NVIDIA RTX 4070 can run(0)
No exclusive models — NVIDIA RTX 4070 SUPER can run everything NVIDIA RTX 4070 can.
Both run natively(29)
These models fit in VRAM on both GPUs. Bandwidth determines which runs them faster.
- Bonsai 27B37.2 t/svs37.2 t/s
- Gemma 4 26B (MoE)63 t/svs63 t/s
- Qwen3 14B38.7 t/svs38.7 t/s
- Qwen 2.5 14B Instruct37.7 t/svs37.7 t/s
- Phi-4 14B Instruct33.2 t/svs33.2 t/s
- Mistral Nemo 12B Instruct32.7 t/svs32.7 t/s
- Gemma 3 12B Instruct33.6 t/svs33.6 t/s
- Gemma 4 12B (Unified)36.4 t/svs36.4 t/s
- Gemma 2 9B Instruct35 t/svs35 t/s
- Qwen 3.5 9B33.3 t/svs33.3 t/s
- Llama 3.1 8B Instruct34.2 t/svs34.2 t/s
- DeepSeek R1 Distill Llama 8B34.2 t/svs34.2 t/s
- Qwen3 8B33.7 t/svs33.7 t/s
- Qwen 2.5 7B Instruct38.3 t/svs38.3 t/s
- Mistral 7B Instruct v0.337.3 t/svs37.3 t/s
- Gemma 3 4B Instruct38.5 t/svs38.5 t/s
- +13 more on both
Which should you choose?
- • You want the newer architecture and longer driver support lifecycle
Frequently asked questions
- Which is better for local AI, the NVIDIA RTX 4070 SUPER or NVIDIA RTX 4070?
- The NVIDIA RTX 4070 SUPER and NVIDIA RTX 4070 are closely matched for local AI. Both have 12 GB VRAM and can run the same 29 models natively. The decision comes down to bandwidth: the NVIDIA RTX 4070 is faster at token generation.
- How much VRAM does the NVIDIA RTX 4070 SUPER have vs the NVIDIA RTX 4070?
- The NVIDIA RTX 4070 SUPER has 12 GB of GDDR6X at 504 GB/s. The NVIDIA RTX 4070 has 12 GB of GDDR6X at 504 GB/s. Both GPUs have the same VRAM amount; bandwidth determines which generates tokens faster.
- Can the NVIDIA RTX 4070 SUPER run Llama 3.3 70B?
- The NVIDIA RTX 4070 SUPER can run Llama 3.3 70B with CPU offload at Q2_K, but at reduced speed.
- Can the NVIDIA RTX 4070 run Llama 3.3 70B?
- The NVIDIA RTX 4070 can run Llama 3.3 70B with CPU offload at Q2_K, but at reduced speed.
- What is the difference between the NVIDIA RTX 4070 SUPER and NVIDIA RTX 4070 for AI?
- The key difference for AI inference is VRAM and memory bandwidth. The NVIDIA RTX 4070 SUPER has 12 GB VRAM at 504 GB/s (CUDA backend). The NVIDIA RTX 4070 has 12 GB VRAM at 504 GB/s (CUDA backend). VRAM determines which models fit; bandwidth determines tokens per second. The NVIDIA RTX 4070 SUPER runs 29 models natively vs 29 for the NVIDIA RTX 4070.