01
Qwen3.5 4B Instruct
Qwen / 4B / Q4_K_M / ~3.5 GB
Best for: Coding, Agents, Multimodal·Pop: 88/100
Perf: ~106.3 tok/s · first token ~0.3s
Local OKExcellent
Fits in 12 GB VRAM with room to spare. Best for coding, agents, multimodal on RTX 5070.
Best Local AI Models for RTX 5070 (12GB)
The RTX 5070 brings Blackwell architecture to the mid-range. At 59 tokens per second for 8B models, it edges out the 4070 SUPER while keeping 12GB VRAM. Best for users prioritizing speed with 7B-9B models.
VRAM
12 GB GDDR7
SPEED (8B Q4)
59 tok/s
BANDWIDTH
672 GB/s
ARCHITECTURE
Blackwell
PRICE
$579
MAX MODEL SIZE
Up to 9B parameter models
COMPATIBILITY
10 excellent, 0 workable
Where to Buy the RTX 5070
$579ModelFit 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 VRAM for AI: What Actually Fits?
12GB GDDR7 at 672 GB/s makes the RTX 5070 the fastest 12GB card for AI inference. Compared to the RTX 4070 SUPER (504 GB/s), bandwidth jumps 33%. This directly translates to faster token generation: 59 tok/s vs 56 tok/s. The 12GB limit means 14B models still require quantization tricks. For 7B-9B workloads, this is the sweet spot if you do not need the extra VRAM.
RTX 5070 vs Similar GPUs
| GPU | VRAM | Speed | Bandwidth | Price |
|---|---|---|---|---|
| RTX 5070 | 12 GB | 59 tok/s | 672 GB/s | $579 |
| RTX 4070 | 12 GB | 52 tok/s | 504 GB/s | $579 |
| RTX 5070 Ti | 16 GB | 87 tok/s | 896 GB/s | $749 |
| RTX 4070 SUPER | 12 GB | 56 tok/s | 504 GB/s | $759 |
Recommended Models
10 models02
Qwen3.5 9B Instruct
Qwen / 9B / Q4_K_M / ~7 GB
Best for: Quality, Coding, Reasoning·Pop: 86/100
Perf: ~53.4 tok/s · first token ~0.4s
Local OKExcellent
Fits in 12 GB VRAM with room to spare. Best for quality, coding, reasoning on RTX 5070.
03
Qwen3 8B
Qwen / 8B / Q4_K_M / ~6.5 GB
Best for: Chat, Coding·Pop: 88/100
Perf: ~59.0 tok/s · first token ~0.4s
Local OKExcellent
Fits in 12 GB VRAM with room to spare. Best for chat, coding on RTX 5070.
04
Gemma 4 E4B
Gemma / 4.5B / Q4_K_M / ~4 GB
Best for: On-device, Mobile, Chat·Pop: 82/100
Perf: ~96.2 tok/s · first token ~0.4s
Local OKExcellent
Fits in 12 GB VRAM with room to spare. Best for on-device, mobile, chat on RTX 5070.
05
Gemma 3 4B Instruct
Gemma / 4B / Q4_K_M / ~3.5 GB
Best for: Chat, Coding·Pop: 81/100
Perf: ~106.3 tok/s · first token ~0.3s
Local OKExcellent
Fits in 12 GB VRAM with room to spare. Best for chat, coding on RTX 5070.
06
Llama 3.1 8B Instruct
Llama / 8B / Q4_K_M / ~6.5 GB
Best for: Chat, Coding·Pop: 78/100
Perf: ~59.0 tok/s · first token ~0.4s
Local OKExcellent
Fits in 12 GB VRAM with room to spare. Best for chat, coding on RTX 5070.
07
Qwen2.5 Coder 7B
Qwen / 7B / Q4_K_M / ~5.5 GB
Best for: Coding·Pop: 72/100
Perf: ~66.1 tok/s · first token ~0.4s
Local OKExcellent
Fits in 12 GB VRAM with room to spare. Best for coding on RTX 5070.
08
DeepSeek-R1 Distill Qwen 7B
DeepSeek / 7B / Q4_K_M / ~5.5 GB
Best for: Reasoning, Coding·Pop: 68/100
Perf: ~66.1 tok/s · first token ~0.4s
Local OKExcellent
Fits in 12 GB VRAM with room to spare. Best for reasoning, coding on RTX 5070.
09
Mistral 7B Instruct
Mistral / 7B / Q4_K_M / ~5.5 GB
Best for: Chat, Coding·Pop: 74/100
Perf: ~66.1 tok/s · first token ~0.4s
Local OKExcellent
Fits in 12 GB VRAM with room to spare. Best for chat, coding on RTX 5070.
10
Qwen2.5 7B Instruct
Qwen / 7B / Q4_K_M / ~5.5 GB
Best for: Chat, Coding·Pop: 72/100
Perf: ~66.1 tok/s · first token ~0.4s
Local OKExcellent
Fits in 12 GB VRAM with room to spare. Best for chat, coding on RTX 5070.
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 FAQ: Common Questions
How much VRAM does the RTX 5070 have for LLMs?
The RTX 5070 has 12GB GDDR7 VRAM with 672 GB/s bandwidth — 33% faster than the RTX 4070 SUPER. About 11.5GB is usable for model loading. Best suited for 7B-9B models at Q4 quantization.
What size LLM can I run on an RTX 5070?
Up to 9B parameter models at Q4 quantization. This includes Qwen 2.5 7B, Llama 3.2 8B, Mistral 7B, and Gemma 2 9B. The RTX 5070 runs them all at 59 tok/s — the fastest 12GB card available.
Is the RTX 5070 good for local AI in 2026?
The RTX 5070 is the best 12GB card for local AI in 2026. Blackwell architecture and GDDR7 deliver 59 tok/s — 40% faster than the RTX 3060. At $579, it offers strong value if 7B-9B models meet your needs.
Should I get RTX 5070 (12GB) or RTX 5070 Ti (16GB)?
If you want to run 14B models, get the 5070 Ti (16GB). If 7B-9B models are enough, the RTX 5070 saves $170 and is only 32% slower than the Ti. The Ti also has 33% more bandwidth (896 vs 672 GB/s).
RTX 5070 vs RTX 3060 for running AI models?
The RTX 5070 is 40% faster (59 vs 42 tok/s) with the same 12GB VRAM. However, the 3060 costs less than half the price. For budget builds, the 3060 remains excellent. For best speed at 12GB, the 5070 wins.
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