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NVIDIA · RTX 40
NVIDIA GeForce RTX 4070
$500$549 MSRP
The RTX 4070 offers solid 1440p gaming performance at a reasonable price point. With 12GB of GDDR6X and low 200W power consumption, it is efficient and capable. For AI use, the 12GB VRAM handles 7B-8B models at Q4-Q8 quantization. It is a popular choice for budget-conscious gamers, though the 4070 SUPER offers better value if you can stretch the budget.
Best ForBudget 1440p gaming with basic local AI capability
VerdictSolid and efficient, but the SUPER variant is worth the extra .
AI
5/10
Gaming
7/10
Specifications
VRAM12GB GDDR6X
Memory Bandwidth504 GB/s
CUDA Cores5,888
Boost Clock2475 MHz
TDP200W
Power Connector1x 8-pin
Length244mm
Form FactorDual Slot
Release Year2023
AI Capabilities
Entry Level12GB VRAM
Limited to small models with heavy quantization. Fine for experimenting.
Can run (Q4 quantized)
Llama 3.1 8BQwen 2.5 14BMistral 7BFLUX.1 DevStable Diffusion XLStable Diffusion 3.5 LargeCogVideoX-5BMochi 1LTX VideoStable Video DiffusionWan Video 14BAlphaFold 2ESMFold (ESM-2 15B)ESM-2 3BscGPTRFdiffusionFine-tune Llama 8BTrain SDXL LoRA
Tight fit (may need CPU offload)
HunyuanVideo (14GB Q4)Codestral 22B (13GB Q4)Train FLUX LoRA (16GB Q4)
Recommended system RAM for AI: 24GB+ (2x GPU VRAM for model overflow)
Performance Estimates
Estimated tokens/sec for LLM inference based on 504 GB/s memory bandwidth — not hardware benchmarks. Methodology · What is Q4/Q8?
Llama 3.1 8B8B
Q8~37-45 tok/sFastQwen 2.5 14B14B
Q4~34-42 tok/sFastMistral 7B7B
Q8~42-52 tok/sFastCodestral 22B22B
Offload~1-3 tok/sVery slowPros
- +Excellent 1440p performance
- +Low power consumption
- +Compact size
Cons
- -12GB VRAM limiting for AI
- -Slower than Super variant
gamingbudget
Will It Run?
Llama 3.1 8B8B
Q8Qwen 2.5 14B14B
Q4Mistral 7B7B
Q8FLUX.1 Dev12B
Q4Stable Diffusion XL6.6B
Q8Stable Diffusion 3.5 Large8B
Q8HunyuanVideo13B
OffloadCogVideoX-5B5B
Q8