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NVIDIA
Operating mode
Use this to bias workload recommendations toward responsiveness, background autonomy, lighter serving, or multi-GPU scale-out.
Current mode
Balanced
Balanced for general local use. Keeps the ranking neutral across personal and serving workflows.
The RTX 5070 12GB is NVIDIA's mid-range Blackwell consumer GPU, introducing GDDR7 memory and 5th-gen Tensor Cores with FP4 support to the $549 price point. The 672 GB/s bandwidth is a big improvement over similarly-priced Ada cards, and FP4 support unlocks a new level of memory efficiency — models that previously required Q4 can now run at higher quality in the same VRAM footprint. The 12 GB VRAM ceiling still limits you to 13B models and below, but within that envelope Blackwell's efficiency is genuinely better than Ada.
Beyond LLMs
What AI tasks this GPU can handle — from text generation to image and video creation.
| Capability | Status | Representative Model | Detail |
|---|---|---|---|
| LLM Chat (7B) | Runs natively | Llama 3.1 8B Q4 | — |
| LLM Coding (30B) | Won’t fit | Qwen 3 30B Q4 | — |
| LLM Large (70B) |
Architecture
Blackwell is NVIDIA's fifth-generation RTX architecture, built on TSMC's 4NP process. It introduces 5th-generation Tensor Cores with native FP4 precision support, enabling double the inference throughput per watt compared to Ada Lovelace's FP8 operations. Key innovations include the Neural Rendering Pipeline for AI-driven shading and the debut of GDDR7 memory in consumer GPUs.
AI Relevance
FP4 Tensor Cores deliver the highest tokens-per-watt efficiency in any consumer architecture. Native FP4 quantization means models can run at lower precision with minimal quality loss, effectively doubling the effective VRAM for model weights.
Cost vs cloud API
Assumes 4 hours/day of active inference at 83 tok/s, RTX 5070 12GB amortized over 36 months, US residential electricity ($0.15/kWh), blended cloud pricing at $10 per 1M tokens (GPT-4o / Claude Sonnet tier).
35.8M
Tokens/month at this pace
$19.2
Monthly local cost
$358
Same tokens on cloud API
$0.536
Local $/1M tokens
Break-even: pays for itself in 1.6 months vs cloud API at this workload. Price reference: $549 MSRP.
Chat
SQwen 3.5 9B matches Chat and keeps a practical fit profile. It is a recent-generation family, which helps on current local SOTA workloads. It fits natively with comfortable headroom. Context coverage stays within the requested workload envelope. Known distribution channels: huggingface, ollama, lm-studio.
Coding
SQwen 3.5 9B is a specialized fit for Coding. It is a recent-generation family, which helps on current local SOTA workloads. It fits natively with comfortable headroom. Context coverage stays within the requested workload envelope. Known distribution channels: huggingface, ollama, lm-studio.
Agentic Coding
AJust out of reach
High-quality models that need a bit more memory
Image & Video Generation
24 of 52 models can generate images or video on your RTX 5070 12GB
| Model | Max Resolution | Gen Time | Grade |
|---|---|---|---|
| SD TurboImage | 512×512 | ~1.6s | S |
| Stable Diffusion 1.5Image | 512×768 | ~3.2s | S |
| Realistic Vision v5.1Image | 512×768 | ~3.2s | S |
| DreamShaper 8Image | 512×768 | ~3.2s | S |
| LCM DreamShaper v7 |
Upgrade paths
See what you unlock with more powerful hardware
Upgrade options
Unlocks 1 additional models that do not fit on the current setup.
~$1,999 MSRP
Unlocks 37 additional models that do not fit on the current setup.
~$799 MSRP
Unlocks 73 additional models that do not fit on the current setup.
~$599 MSRP
Unlocks 118 additional models that do not fit on the current setup.
Lifts average decode speed across fitting models by about 119%.
~$8,000 MSRP
Compare with similar
Related guides
| Won’t fit |
| Llama 3.1 70B Q4 |
| — |
| Image Gen (SDXL) | Runs natively | SDXL 1.0 FP16 | ~~12.8s per image |
| Image Gen (Flux) | Won't fit | Flux.1 Dev FP16 | ~~57.4s per image |
| Image Gen (SD 3.5) | Won't fit | SD 3.5 Large FP16 | ~~1m 10s per image |
| Video Short (25f) | Runs with offload | LTX Video 2B | ~~11.1s/frame |
| Video Long (100f) | Won't fit | Wan Video 14B | ~~32.6s/frame |
CodeGeeX 4 9B is a specialized fit for Agentic Coding. It sits in the middle of the current generation mix. It fits natively with comfortable headroom. Context coverage stays within the requested workload envelope. Known distribution channels: huggingface, ollama.
Reasoning
SQwen 3.5 9B matches Reasoning and keeps a practical fit profile. It is a recent-generation family, which helps on current local SOTA workloads. It fits natively with comfortable headroom. Context coverage stays within the requested workload envelope. Known distribution channels: huggingface, ollama, lm-studio.
RAG
ACodeGeeX 4 9B is viable for RAG, but is not the most specialized choice. It sits in the middle of the current generation mix. It fits natively with comfortable headroom. Context coverage stays within the requested workload envelope. Known distribution channels: huggingface, ollama.
| 512×768 |
| ~1s |
| S |
| PixArt-SigmaImage | 256×256 | ~57.4s | S |
| FramePack I2VVideo | 256×256 | ~23.4s/frame | S |
| SDXL TurboImage | 512×512 | ~1.6s | S |
| SDXL LightningImage | 1024×1024 | ~4.8s | S |
| Stable Diffusion XL 1.0Image | 1024×1024 | ~12.8s | S |
| Playground v2.5Image | 1024×1024 | ~19.1s | S |
| RealVisXL v5.0Image | 1024×1024 | ~14.4s | S |
| DreamShaper XLImage | 1024×1024 | ~14.4s | S |
| Juggernaut XL v9Image | 1024×1024 | ~14.4s | S |
| Animagine XL 3.1Image | 1024×1024 | ~14.4s | S |
| Pony Diffusion V6 XLImage | 1024×1024 | ~14.4s | S |
| Animagine XL 4.0Image | 1024×1024 | ~14.4s | S |
| Illustrious XLImage | 1024×1024 | ~14.4s | S |
| Wan Video 2.1 1.3BVideo | 256×256 | ~9.3s/frame | A |
| Stable Diffusion 3.5 MediumImage | 256×256 | ~22.3s | A |
| Flux.2 Klein 4BImage | 256×256 | ~8.6s | A |
| LTX Video 2BVideo | 256×256 | ~11.1s/frame | B |
| KolorsImage | 256×256 | ~25.5s | B |
| Stable CascadeImage | 1024×1024 | ~31.9s | D |
| AuraFlow v0.3Image | 256×256 | ~57.4s | F |
| Stable Diffusion 3.5 LargeImage | 256×256 | ~1m 10s | F |
| Stable Diffusion 3.5 Large TurboImage | 256×256 | ~12.8s | F |
| CogVideoX 2BVideo | 256×256 | ~11.1s/frame | F |
| HunyuanVideoVideo | 256×256 | ~23.4s/frame | F |
| ChromaImage | 256×256 | ~12.8s | F |
| Z-Image TurboImage | 256×256 | ~13.2s | F |
| Flux.1 DevImage | 256×256 | ~57.4s | F |
| Flux.1 SchnellImage | 256×256 | ~11.2s | F |
| LTX Video 13BVideo | 256×256 | ~23.4s/frame | F |
| Flux.1 Kontext DevImage | 256×256 | ~1m 4s | F |
| AnimateDiff v1.5.3Video | 512×768 | ~5.8s/frame | F |
| Cosmos Diffusion 7BVideo | 256×256 | ~18.3s/frame | F |
| CogVideoX 5BVideo | 256×256 | ~16s/frame | F |
| Wan2.2 TI2V 5BVideo | 256×256 | ~16s/frame | F |
| Flux.2 Klein 9BImage | 256×256 | ~6.4s | F |
| Flux.1 Fill DevImage | 256×256 | ~54.2s | F |
| Mochi 1 PreviewVideo | 256×256 | ~21.1s/frame | F |
| HunyuanVideo 1.5Video | 256×256 | ~19.6s/frame | F |
| Helios 14BVideo | 256×256 | ~24.1s/frame | F |
| SkyReels V2 14BVideo | 256×256 | ~24.1s/frame | F |
| Wan Video 2.1 14BVideo | 256×256 | ~24.1s/frame | F |
| Wan Video 2.2 14BVideo | 256×256 | ~24.1s/frame | F |
| Qwen ImageImage | 256×256 | ~21.5s | F |
| Qwen Image EditImage | 256×256 | ~21.5s | F |
| Flux.2 DevImage | 256×256 | ~10m 4s | F |
| MAGI-1Video | 256×256 | ~29.9s/frame | F |
| HunyuanImage 3.0Image | 256×256 | ~37.8s | F |
Image models estimated at 1024×1024 (28 steps, FP16). Video models estimated at 768×512 (25 frames, 30 steps, FP16). Actual performance varies with runtime and system load.
There are 4 upgrade path(s) from RTX 5070 12GB: MacBook Pro M3 Pro 18GB, RTX 4070 Ti Super 16GB. Upgrading would unlock larger models and faster inference speeds.
Buying advice
Usable for local AI with limits
Can run 10 of 50 top models, mostly smaller ones. Larger models need heavy quantization or won't fit.
12.0 GB
VRAM
$549
MSRP
$46/GB
Cost per GB VRAM
Best models for this GPU
What will limit you first
This setup is broadly balanced for this model.
No major red flags
This recommendation has enough memory headroom and acceptable estimated speed for the selected workload.
Best upgrade itinerary
Unlocks 1 additional models that do not fit on the current setup.
Want more headroom? MacBook Pro M3 Pro 18GB (18.0 GB unified memory) is the next step up.
