gpu optimized

Best Local AI Models for RTX 4070 (12GB)

The RTX 4070 delivers strong mid-range performance with 12GB GDDR6X memory. At 52 tokens per second for 8B models, it offers excellent speed for 7B-8B parameter models at a reasonable price point.

Specifications
VRAM
12 GB GDDR6X
Speed (8B Q4)
52 tok/s
Price
$579
Architecture
Ada Lovelace
Bandwidth
504 GB/s
Max Model Size
Up to 9B parameter models
Compatibility
10 excellent, 0 workable

RTX 4070 VRAM for AI: What Actually Fits?

12GB GDDR6X at 504 GB/s makes the RTX 4070 the fastest 12GB card from the previous generation. The higher bandwidth compared to the RTX 3060 (504 vs 360 GB/s) translates directly to faster token generation. You get the same model capacity as the 3060 but 24% more speed. For 7B-9B models at Q4, expect 4-6GB usage with solid headroom for context.

RTX 4070 vs Similar GPUs

GPUVRAMSpeedBandwidthPrice
RTX 306012 GB42 tok/s360 GB/s$250
RTX 407012 GB52 tok/s504 GB/s$579
RTX 507012 GB59 tok/s672 GB/s$579
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: ~93.7 tok/s · first token ~0.4s

Local OK//Excellent

Fits in 12 GB VRAM with room to spare. Best for coding, agents, multimodal on RTX 4070.

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: ~52.0 tok/s · first token ~0.4s

Local OK//Excellent

Fits in 12 GB VRAM with room to spare. Best for chat, coding on RTX 4070.

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: ~47.0 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 4070.

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: ~52.0 tok/s · first token ~0.4s

Local OK//Excellent

Fits in 12 GB VRAM with room to spare. Best for chat, coding on RTX 4070.

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: ~58.3 tok/s · first token ~0.4s

Local OK//Excellent

Fits in 12 GB VRAM with room to spare. Best for chat, coding on RTX 4070.

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: ~58.3 tok/s · first token ~0.4s

Local OK//Excellent

Fits in 12 GB VRAM with room to spare. Best for coding on RTX 4070.

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: ~58.3 tok/s · first token ~0.4s

Local OK//Excellent

Fits in 12 GB VRAM with room to spare. Best for chat, coding on RTX 4070.

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: ~52.0 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 4070.

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: ~58.3 tok/s · first token ~0.4s

Local OK//Excellent

Fits in 12 GB VRAM with room to spare. Best for reasoning, coding on RTX 4070.

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: ~93.7 tok/s · first token ~0.4s

Local OK//Excellent

Fits in 12 GB VRAM with room to spare. Best for chat, coding on RTX 4070.

ollama
ollama run gemma3:4b-instruct-q4_K_M

Similar GPUs for Local AI

Compatible Model Families

RTX 4070 FAQ: Common Questions

How much VRAM does the RTX 4070 have for LLMs?

The RTX 4070 has 12GB GDDR6X VRAM with 504 GB/s bandwidth. About 11.5GB is usable for models. Same capacity as the RTX 3060 but 40% more bandwidth, making it faster for the same models.

What size LLM can I run on an RTX 4070?

Up to 9B parameter models at Q4 quantization — same as other 12GB cards. The advantage is speed: 52 tok/s vs 42 tok/s on the RTX 3060. Popular models include Qwen 2.5 7B, Llama 3.2 8B, and Gemma 2 9B.

Is the RTX 4070 good for local AI?

Yes, it is a strong mid-range choice. The 4070 offers a good balance of speed (52 tok/s) and price. Its main limitation is 12GB VRAM — if you need 14B models, consider the RTX 5070 Ti or 4060 Ti 16GB instead.

RTX 4070 vs RTX 5070 for AI: which should I buy?

The RTX 5070 is 13% faster (59 vs 52 tok/s) at the same $579 MSRP. Both have 12GB VRAM. If buying new, the 5070 is the better pick. If buying used, a discounted 4070 under $400 is excellent value.

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