01
Qwen3.5 9B Instruct
Qwen / 9B / Q4_K_M / ~7 GB
Best for: Quality, Coding, Reasoning·Pop: 86/100
Perf: ~78.7 tok/s · first token ~0.4s
Local OKExcellent
Fits in 16 GB VRAM with room to spare. Best for quality, coding, reasoning on RTX 5070 Ti.
Best Local AI Models for RTX 5070 Ti (16GB)
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.
VRAM
16 GB GDDR7
SPEED (8B Q4)
87 tok/s
BANDWIDTH
896 GB/s
ARCHITECTURE
Blackwell
PRICE
$749
MAX MODEL SIZE
Up to 14B parameter models
COMPATIBILITY
10 excellent, 0 workable
Where to Buy the RTX 5070 Ti
$749ModelFit 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.
RTX 5070 Ti VRAM for AI: What Actually Fits?
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.
RTX 5070 Ti vs Similar GPUs
| 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 |
Recommended Models
10 models02
Qwen3 8B
Qwen / 8B / Q4_K_M / ~6.5 GB
Best for: Chat, Coding·Pop: 88/100
Perf: ~87.0 tok/s · first token ~0.4s
Local OKExcellent
Fits in 16 GB VRAM with room to spare. Best for chat, coding on RTX 5070 Ti.
03
Llama 3.1 8B Instruct
Llama / 8B / Q4_K_M / ~6.5 GB
Best for: Chat, Coding·Pop: 78/100
Perf: ~87.0 tok/s · first token ~0.4s
Local OKExcellent
Fits in 16 GB VRAM with room to spare. Best for chat, coding on RTX 5070 Ti.
04
Qwen2.5 Coder 7B
Qwen / 7B / Q4_K_M / ~5.5 GB
Best for: Coding·Pop: 72/100
Perf: ~97.5 tok/s · first token ~0.4s
Local OKExcellent
Fits in 16 GB VRAM with room to spare. Best for coding on RTX 5070 Ti.
05
DeepSeek-R1 Distill Qwen 7B
DeepSeek / 7B / Q4_K_M / ~5.5 GB
Best for: Reasoning, Coding·Pop: 68/100
Perf: ~97.5 tok/s · first token ~0.4s
Local OKExcellent
Fits in 16 GB VRAM with room to spare. Best for reasoning, coding on RTX 5070 Ti.
06
Mistral 7B Instruct
Mistral / 7B / Q4_K_M / ~5.5 GB
Best for: Chat, Coding·Pop: 74/100
Perf: ~97.5 tok/s · first token ~0.4s
Local OKExcellent
Fits in 16 GB VRAM with room to spare. Best for chat, coding on RTX 5070 Ti.
07
Mistral Nemo 12B
Mistral / 12B / Q4_K_M / ~9.5 GB
Best for: Chat, Translation·Pop: 78/100
Perf: ~61.6 tok/s · first token ~0.4s
Local OKExcellent
Fits in 16 GB VRAM with room to spare. Best for chat, translation on RTX 5070 Ti.
08
Qwen2.5 7B Instruct
Qwen / 7B / Q4_K_M / ~5.5 GB
Best for: Chat, Coding·Pop: 72/100
Perf: ~97.5 tok/s · first token ~0.4s
Local OKExcellent
Fits in 16 GB VRAM with room to spare. Best for chat, coding on RTX 5070 Ti.
09
Gemma 3 12B Instruct
Gemma / 12B / Q4_K_M / ~9.5 GB
Best for: Chat, Quality·Pop: 76/100
Perf: ~61.6 tok/s · first token ~0.4s
Local OKExcellent
Fits in 16 GB VRAM with room to spare. Best for chat, quality on RTX 5070 Ti.
10
Llama 3.1 8B Instruct (Q5)
Llama / 8B / Q5_K_M / ~8 GB
Best for: Chat, Coding·Pop: 68/100
Perf: ~74.8 tok/s · first token ~0.4s
Local OKExcellent
Fits in 16 GB VRAM with room to spare. Best for chat, coding on RTX 5070 Ti.
Similar GPUs for Local AI
Compatible Model Families
Qwen
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
RTX 5070 Ti FAQ: Common Questions
How much VRAM does the RTX 5070 Ti have for LLMs?
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.
What size LLM can I run on an RTX 5070 Ti?
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.
Is the RTX 5070 Ti good for local AI?
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).
RTX 5070 Ti vs RTX 3090 for AI: which is better?
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.
RTX 5070 Ti vs RTX 5080 for running LLMs?
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.
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