The RTX 4070 Ti SUPER packs 16GB GDDR6X and delivers 72 tokens per second for 8B models. A strong performer from the previous generation, offering enough VRAM for 14B models with solid throughput.
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16GB GDDR6X at 672 GB/s positions this card between the 5060 Ti and 5070 Ti in bandwidth. It loads 14B Q4 models with room to spare and handles 7B models at 72 tok/s. The main drawback is pricing: at $1,148 MSRP, it costs more than the newer RTX 5070 Ti ($749) which is actually faster. Best bought on the used market where prices have dropped since the RTX 50-series launch.
| GPU | VRAM | Speed | Bandwidth | Price |
|---|---|---|---|---|
| RTX 5070 Ti | 16 GB | 87 tok/s | 896 GB/s | $749 |
| 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 |
| RTX 4080 SUPER | 16 GB | 79 tok/s | 736 GB/s | $1,597 |
Qwen / 9B / Q4_K_M / ~7 GB
Best for: Quality, Coding, Reasoning·Pop: 86/100
Perf: ~65.1 tok/s · first token ~0.4s
Fits in 16 GB VRAM with room to spare. Best for quality, coding, reasoning on RTX 4070 Ti SUPER.
Qwen / 8B / Q4_K_M / ~6.5 GB
Best for: Chat, Coding·Pop: 88/100
Perf: ~72.0 tok/s · first token ~0.4s
Fits in 16 GB VRAM with room to spare. Best for chat, coding on RTX 4070 Ti SUPER.
Llama / 8B / Q4_K_M / ~6.5 GB
Best for: Chat, Coding·Pop: 78/100
Perf: ~72.0 tok/s · first token ~0.4s
Fits in 16 GB VRAM with room to spare. Best for chat, coding on RTX 4070 Ti SUPER.
Qwen / 7B / Q4_K_M / ~5.5 GB
Best for: Coding·Pop: 72/100
Perf: ~80.7 tok/s · first token ~0.4s
Fits in 16 GB VRAM with room to spare. Best for coding on RTX 4070 Ti SUPER.
DeepSeek / 7B / Q4_K_M / ~5.5 GB
Best for: Reasoning, Coding·Pop: 68/100
Perf: ~80.7 tok/s · first token ~0.4s
Fits in 16 GB VRAM with room to spare. Best for reasoning, coding on RTX 4070 Ti SUPER.
Mistral / 7B / Q4_K_M / ~5.5 GB
Best for: Chat, Coding·Pop: 74/100
Perf: ~80.7 tok/s · first token ~0.4s
Fits in 16 GB VRAM with room to spare. Best for chat, coding on RTX 4070 Ti SUPER.
Mistral / 12B / Q4_K_M / ~9.5 GB
Best for: Chat, Translation·Pop: 78/100
Perf: ~51.0 tok/s · first token ~0.4s
Fits in 16 GB VRAM with room to spare. Best for chat, translation on RTX 4070 Ti SUPER.
Qwen / 7B / Q4_K_M / ~5.5 GB
Best for: Chat, Coding·Pop: 72/100
Perf: ~80.7 tok/s · first token ~0.4s
Fits in 16 GB VRAM with room to spare. Best for chat, coding on RTX 4070 Ti SUPER.
Gemma / 12B / Q4_K_M / ~9.5 GB
Best for: Chat, Quality·Pop: 76/100
Perf: ~51.0 tok/s · first token ~0.4s
Fits in 16 GB VRAM with room to spare. Best for chat, quality on RTX 4070 Ti SUPER.
Llama / 8B / Q5_K_M / ~8 GB
Best for: Chat, Coding·Pop: 68/100
Perf: ~61.9 tok/s · first token ~0.4s
Fits in 16 GB VRAM with room to spare. Best for chat, coding on RTX 4070 Ti 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 Ti SUPER has 16GB GDDR6X VRAM with 672 GB/s bandwidth. About 15.5GB usable for model loading. Fits 14B models at Q4 and all 7B-9B models comfortably.
Up to 14B parameter models at Q4 quantization. Same model capacity as other 16GB cards. Speed is 72 tok/s — faster than the 4060 Ti but slower than the newer 5070 Ti.
At MSRP ($1,148), no. The RTX 5070 Ti costs $749 and is 21% faster. However, used 4070 Ti SUPERs at $600-700 offer good value — you get 16GB VRAM and 72 tok/s at a reasonable price.
The RTX 5070 Ti is faster (87 vs 72 tok/s), cheaper ($749 vs $1,148), and uses GDDR7. The 5070 Ti wins on every metric for AI workloads. The only reason to buy the 4070 Ti SUPER is availability or used pricing.
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