The RTX 5070 Ti is the new-generation sweet spot for local AI. With 16GB GDDR7 VRAM and 87 tokens per second, it matches the RTX 3090 in speed while offering enough memory for 14B parameter models. Excellent value at $749.
16GB GDDR7 at 896 GB/s delivers remarkable throughput. The RTX 5070 Ti loads 14B models at Q4 with 5-6GB to spare, and its bandwidth pushes tokens out at 87 tok/s — matching the legendary RTX 3090 (24GB). For 7B models, expect even faster speeds. The 896 GB/s bandwidth is 33% higher than the RTX 5080 on a per-GB basis, making this card incredibly efficient for models that fit its 16GB capacity.
| GPU | VRAM | Speed | Bandwidth | Price |
|---|---|---|---|---|
| RTX 5070 | 12 GB | 59 tok/s | 672 GB/s | $579 |
| RTX 5070 Ti | 16 GB | 87 tok/s | 896 GB/s | $749 |
| RTX 5080 | 16 GB | 94 tok/s | 960 GB/s | $999 |
| RTX 4070 Ti SUPER | 16 GB | 72 tok/s | 672 GB/s | $1,148 |
Llama / 8B / Q4_K_M / ~6.5 GB
Best for: Chat, Coding·Pop: 94/100
Perf: ~87.0 tok/s · first token ~0.4s
Fits in 16 GB VRAM with room to spare. Best for chat, coding on RTX 5070 Ti.
ollama run llama3.1:8b-instruct-q4_K_M
Qwen / 9B / Q4_K_M / ~7 GB
Best for: Quality, Coding, Reasoning·Pop: 86/100
Perf: ~78.7 tok/s · first token ~0.4s
Fits in 16 GB VRAM with room to spare. Best for quality, coding, reasoning on RTX 5070 Ti.
ollama run qwen3.5:9b-instruct-q4_K_M
Qwen / 8B / Q4_K_M / ~6.5 GB
Best for: Chat, Coding·Pop: 88/100
Perf: ~87.0 tok/s · first token ~0.4s
Fits in 16 GB VRAM with room to spare. Best for chat, coding on RTX 5070 Ti.
ollama run qwen3:8b-q4_K_M
Mistral / 7B / Q4_K_M / ~5.5 GB
Best for: Chat, Coding·Pop: 90/100
Perf: ~97.5 tok/s · first token ~0.4s
Fits in 16 GB VRAM with room to spare. Best for chat, coding on RTX 5070 Ti.
ollama run mistral:7b-instruct-q4_K_M
Qwen / 7B / Q4_K_M / ~5.5 GB
Best for: Coding·Pop: 85/100
Perf: ~97.5 tok/s · first token ~0.4s
Fits in 16 GB VRAM with room to spare. Best for coding on RTX 5070 Ti.
ollama run qwen2.5-coder:7b-q4_K_M
Qwen / 7B / Q4_K_M / ~5.5 GB
Best for: Chat, Coding·Pop: 86/100
Perf: ~97.5 tok/s · first token ~0.4s
Fits in 16 GB VRAM with room to spare. Best for chat, coding on RTX 5070 Ti.
ollama run qwen2.5:7b-instruct-q4_K_M
LFM2 / 8B / Q4_K_M / ~6 GB
Best for: Local agents, tool calling, fast chat·Pop: 75/100
Perf: ~87.0 tok/s · first token ~0.4s
Fits in 16 GB VRAM with room to spare. Best for local agents, tool calling, fast chat on RTX 5070 Ti.
ollama run liquidai/lfm2:8b-a1b-instruct-q4_K_M
DeepSeek / 7B / Q4_K_M / ~5.5 GB
Best for: Reasoning, Coding·Pop: 77/100
Perf: ~97.5 tok/s · first token ~0.4s
Fits in 16 GB VRAM with room to spare. Best for reasoning, coding on RTX 5070 Ti.
ollama run deepseek-r1-distill:qwen-7b-q4_K_M
Llama / 8B / Q5_K_M / ~8 GB
Best for: Chat, Coding·Pop: 82/100
Perf: ~74.8 tok/s · first token ~0.4s
Fits in 16 GB VRAM with room to spare. Best for chat, coding on RTX 5070 Ti.
ollama run llama3.1:8b-instruct-q5_K_M
Gemma / 9B / Q4_K_M / ~7 GB
Best for: Chat, Coding·Pop: 81/100
Perf: ~78.7 tok/s · first token ~0.4s
Fits in 16 GB VRAM with room to spare. Best for chat, coding on RTX 5070 Ti.
ollama run gemma2:9b-instruct-q4_K_M
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-parameter in small sizes
The RTX 5070 Ti has 16GB GDDR7 VRAM with 896 GB/s bandwidth. About 15.5GB is usable for models. This comfortably fits all 14B models at Q4 and some 27B models at lower quantization.
Up to 14B parameter models at Q4 quantization fit perfectly. Popular picks: Qwen 2.5 14B, DeepSeek-R1 14B, Phi-3 14B. You can also squeeze in 27B models at Q3, though with reduced quality.
The RTX 5070 Ti is arguably the best value GPU for local AI in 2026. At $749, it matches the RTX 3090 in speed (87 tok/s), runs 14B models, and costs significantly less than the RTX 5080 ($999).
The RTX 3090 has 24GB VRAM vs 16GB, allowing 32B models. But the 5070 Ti matches it in speed at 87 tok/s and costs less new. Choose the 3090 (used, ~$900) for 32B models, or the 5070 Ti for 14B models with modern efficiency.
Both have 16GB VRAM. The 5080 is 8% faster (94 vs 87 tok/s) but costs $250 more ($999 vs $749). For most users, the 5070 Ti delivers 93% of the speed at 75% of the price — a clear value winner.
Use our interactive wizard to compare models across Apple Silicon and NVIDIA GPUs.