gpu optimized

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.

Specifications
VRAM
12 GB GDDR7
Speed (8B Q4)
59 tok/s
Price
$579
Architecture
Blackwell
Bandwidth
672 GB/s
Max Model Size
Up to 9B parameter models
Compatibility
10 excellent, 0 workable

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

GPUVRAMSpeedBandwidthPrice
RTX 507012 GB59 tok/s672 GB/s$579
RTX 407012 GB52 tok/s504 GB/s$579
RTX 5070 Ti16 GB87 tok/s896 GB/s$749
RTX 4070 SUPER12 GB56 tok/s504 GB/s$759

Recommended Models

10 models
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 OK//Excellent

Fits in 12 GB VRAM with room to spare. Best for coding, agents, multimodal on RTX 5070.

ollama
ollama run qwen3.5:4b-instruct-q4_K_M
02

Llama 3.1 8B Instruct

Llama / 8B / Q4_K_M / ~6.5 GB

Best for: Chat, Coding·Pop: 94/100

Perf: ~59.0 tok/s · first token ~0.4s

Local OK//Excellent

Fits in 12 GB VRAM with room to spare. Best for chat, coding on RTX 5070.

ollama
ollama run llama3.1:8b-instruct-q4_K_M
03

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 OK//Excellent

Fits in 12 GB VRAM with room to spare. Best for quality, coding, reasoning on RTX 5070.

ollama
ollama run qwen3.5:9b-instruct-q4_K_M
04

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 OK//Excellent

Fits in 12 GB VRAM with room to spare. Best for chat, coding on RTX 5070.

ollama
ollama run qwen3:8b-q4_K_M
05

Mistral 7B Instruct

Mistral / 7B / Q4_K_M / ~5.5 GB

Best for: Chat, Coding·Pop: 90/100

Perf: ~66.1 tok/s · first token ~0.4s

Local OK//Excellent

Fits in 12 GB VRAM with room to spare. Best for chat, coding on RTX 5070.

ollama
ollama run mistral:7b-instruct-q4_K_M
06

Qwen2.5 Coder 7B

Qwen / 7B / Q4_K_M / ~5.5 GB

Best for: Coding·Pop: 85/100

Perf: ~66.1 tok/s · first token ~0.4s

Local OK//Excellent

Fits in 12 GB VRAM with room to spare. Best for coding on RTX 5070.

ollama
ollama run qwen2.5-coder:7b-q4_K_M
07

Qwen2.5 7B Instruct

Qwen / 7B / Q4_K_M / ~5.5 GB

Best for: Chat, Coding·Pop: 86/100

Perf: ~66.1 tok/s · first token ~0.4s

Local OK//Excellent

Fits in 12 GB VRAM with room to spare. Best for chat, coding on RTX 5070.

ollama
ollama run qwen2.5:7b-instruct-q4_K_M
08

LFM2 8B-A1B Instruct

LFM2 / 8B / Q4_K_M / ~6 GB

Best for: Local agents, tool calling, fast chat·Pop: 75/100

Perf: ~59.0 tok/s · first token ~0.4s

Local OK//Excellent

Fits in 12 GB VRAM with room to spare. Best for local agents, tool calling, fast chat on RTX 5070.

ollama
ollama run liquidai/lfm2:8b-a1b-instruct-q4_K_M
09

DeepSeek-R1 Distill Qwen 7B

DeepSeek / 7B / Q4_K_M / ~5.5 GB

Best for: Reasoning, Coding·Pop: 77/100

Perf: ~66.1 tok/s · first token ~0.4s

Local OK//Excellent

Fits in 12 GB VRAM with room to spare. Best for reasoning, coding on RTX 5070.

ollama
ollama run deepseek-r1-distill:qwen-7b-q4_K_M
10

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 OK//Excellent

Fits in 12 GB VRAM with room to spare. Best for chat, coding on RTX 5070.

ollama
ollama run gemma3:4b-instruct-q4_K_M

Similar GPUs for Local AI

Compatible Model Families

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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