The RTX 4070 SUPER improves on the base 4070 with more CUDA cores. At 56 tokens per second, it delivers faster inference while maintaining the 12GB VRAM capacity for efficient 7B-9B models.
ModelFit may earn a commission on purchases made through these links, at no extra cost to you. Recommendations are based on local-AI performance, not commissions.
Same 12GB GDDR6X and 504 GB/s bandwidth as the base RTX 4070, but extra CUDA cores push compute throughput higher. The result is 56 tok/s vs 52 tok/s — a modest but consistent improvement. VRAM usage is identical to other 12GB cards. Best for users who want peak speed with 7B-9B models and found a good deal on the SUPER variant.
| GPU | VRAM | Speed | Bandwidth | Price |
|---|---|---|---|---|
| RTX 4070 | 12 GB | 52 tok/s | 504 GB/s | $579 |
| RTX 5070 | 12 GB | 59 tok/s | 672 GB/s | $579 |
| RTX 4070 SUPER | 12 GB | 56 tok/s | 504 GB/s | $759 |
| RTX 4070 Ti SUPER | 16 GB | 72 tok/s | 672 GB/s | $1,148 |
Qwen / 4B / Q4_K_M / ~3.5 GB
Best for: Coding, Agents, Multimodal·Pop: 88/100
Perf: ~100.9 tok/s · first token ~0.3s
Fits in 12 GB VRAM with room to spare. Best for coding, agents, multimodal on RTX 4070 SUPER.
Qwen / 9B / Q4_K_M / ~7 GB
Best for: Quality, Coding, Reasoning·Pop: 86/100
Perf: ~50.7 tok/s · first token ~0.4s
Fits in 12 GB VRAM with room to spare. Best for quality, coding, reasoning on RTX 4070 SUPER.
Qwen / 8B / Q4_K_M / ~6.5 GB
Best for: Chat, Coding·Pop: 88/100
Perf: ~56.0 tok/s · first token ~0.4s
Fits in 12 GB VRAM with room to spare. Best for chat, coding on RTX 4070 SUPER.
Gemma / 4.5B / Q4_K_M / ~4 GB
Best for: On-device, Mobile, Chat·Pop: 82/100
Perf: ~91.3 tok/s · first token ~0.4s
Fits in 12 GB VRAM with room to spare. Best for on-device, mobile, chat on RTX 4070 SUPER.
Gemma / 4B / Q4_K_M / ~3.5 GB
Best for: Chat, Coding·Pop: 81/100
Perf: ~100.9 tok/s · first token ~0.3s
Fits in 12 GB VRAM with room to spare. Best for chat, coding on RTX 4070 SUPER.
Llama / 8B / Q4_K_M / ~6.5 GB
Best for: Chat, Coding·Pop: 78/100
Perf: ~56.0 tok/s · first token ~0.4s
Fits in 12 GB VRAM with room to spare. Best for chat, coding on RTX 4070 SUPER.
Qwen / 7B / Q4_K_M / ~5.5 GB
Best for: Coding·Pop: 72/100
Perf: ~62.7 tok/s · first token ~0.4s
Fits in 12 GB VRAM with room to spare. Best for coding on RTX 4070 SUPER.
DeepSeek / 7B / Q4_K_M / ~5.5 GB
Best for: Reasoning, Coding·Pop: 68/100
Perf: ~62.7 tok/s · first token ~0.4s
Fits in 12 GB VRAM with room to spare. Best for reasoning, coding on RTX 4070 SUPER.
Mistral / 7B / Q4_K_M / ~5.5 GB
Best for: Chat, Coding·Pop: 74/100
Perf: ~62.7 tok/s · first token ~0.4s
Fits in 12 GB VRAM with room to spare. Best for chat, coding on RTX 4070 SUPER.
Qwen / 7B / Q4_K_M / ~5.5 GB
Best for: Chat, Coding·Pop: 72/100
Perf: ~62.7 tok/s · first token ~0.4s
Fits in 12 GB VRAM with room to spare. Best for chat, coding on RTX 4070 SUPER.
Alibaba Cloud — Widest size range (0.5B to 235B)
LlamaMeta — Most popular open-weight model family
DeepSeekDeepSeek AI — Best-in-class reasoning with R1 models
MistralMistral AI — Excellent performance-per-parameter ratio
GemmaGoogle DeepMind — Excellent quality at small sizes (1B-9B)
PhiMicrosoft — Best quality-per-gigabyte at small sizes
The RTX 4070 SUPER has 12GB GDDR6X VRAM, identical to the base RTX 4070. Both share 504 GB/s bandwidth. The SUPER variant adds more CUDA cores for faster compute, resulting in 56 tok/s vs 52 tok/s.
Up to 9B parameter models at Q4 quantization. Same model capacity as the base 4070 and RTX 3060. The advantage is purely speed — 56 tok/s is 8% faster than the base 4070.
At MSRP, the 4070 SUPER costs $180 more for an 8% speed boost. That is a poor value for AI workloads. Buy it only if the price gap is under $100, or if you also use the GPU for gaming.
The RTX 5070 is faster (59 vs 56 tok/s) and cheaper ($579 vs $759 MSRP). Both have 12GB VRAM. The 5070 wins on both price and performance for AI workloads.
Use our interactive wizard to compare models across Apple Silicon and NVIDIA GPUs.