Quick Answer: RTX 4070 Super offers 12GB VRAM and starts around $1073.31. It delivers approximately 116 tokens/sec on deepseek-ai/DeepSeek-OCR. It typically draws 220W under load.
This GPU offers reliable throughput for local AI workloads. Pair it with the right model quantization to hit your desired tokens/sec, and monitor prices below to catch the best deal.
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| Model | Quantization | Tokens/sec | VRAM used |
|---|---|---|---|
| deepseek-ai/DeepSeek-OCR | Q4 | 116.29 tok/sEstimated Auto-generated benchmark | 2GB |
| apple/OpenELM-1_1B-Instruct | Q4 | 114.91 tok/sEstimated Auto-generated benchmark | 1GB |
| Qwen/Qwen2.5-3B-Instruct | Q4 | 113.39 tok/sEstimated Auto-generated benchmark | 2GB |
| meta-llama/Llama-3.2-3B-Instruct | Q4 | 113.02 tok/sEstimated Auto-generated benchmark | 2GB |
| facebook/sam3 | Q4 | 112.75 tok/sEstimated Auto-generated benchmark | 1GB |
| google/gemma-2-2b-it | Q4 | 112.46 tok/sEstimated Auto-generated benchmark | 1GB |
| TinyLlama/TinyLlama-1.1B-Chat-v1.0 | Q4 | 112.22 tok/sEstimated Auto-generated benchmark | 1GB |
| allenai/OLMo-2-0425-1B | Q4 | 109.79 tok/sEstimated Auto-generated benchmark | 1GB |
| unsloth/Llama-3.2-3B-Instruct | Q4 | 108.69 tok/sEstimated Auto-generated benchmark | 2GB |
| nari-labs/Dia2-2B | Q4 | 107.70 tok/sEstimated Auto-generated benchmark | 2GB |
| meta-llama/Llama-3.2-1B-Instruct | Q4 | 107.56 tok/sEstimated Auto-generated benchmark | 1GB |
| tencent/HunyuanOCR | Q4 | 106.78 tok/sEstimated Auto-generated benchmark | 1GB |
| meta-llama/Llama-3.2-1B | Q4 | 105.49 tok/sEstimated Auto-generated benchmark | 1GB |
| google/embeddinggemma-300m | Q4 | 105.46 tok/sEstimated Auto-generated benchmark | 1GB |
| unsloth/Llama-3.2-1B-Instruct | Q4 | 105.28 tok/sEstimated Auto-generated benchmark | 1GB |
| LiquidAI/LFM2-1.2B | Q4 | 104.50 tok/sEstimated Auto-generated benchmark | 1GB |
| bigcode/starcoder2-3b | Q4 | 104.15 tok/sEstimated Auto-generated benchmark | 2GB |
| Qwen/Qwen2.5-3B | Q4 | 103.65 tok/sEstimated Auto-generated benchmark | 2GB |
| meta-llama/Llama-3.2-3B | Q4 | 102.73 tok/sEstimated Auto-generated benchmark | 2GB |
| google/gemma-3-1b-it | Q4 | 102.40 tok/sEstimated Auto-generated benchmark | 1GB |
| google/gemma-2b | Q4 | 102.01 tok/sEstimated Auto-generated benchmark | 1GB |
| inference-net/Schematron-3B | Q4 | 101.01 tok/sEstimated Auto-generated benchmark | 2GB |
| google-bert/bert-base-uncased | Q4 | 100.88 tok/sEstimated Auto-generated benchmark | 1GB |
| deepseek-ai/deepseek-coder-1.3b-instruct | Q4 | 100.85 tok/sEstimated Auto-generated benchmark | 2GB |
| context-labs/meta-llama-Llama-3.2-3B-Instruct-FP16 | Q4 | 100.69 tok/sEstimated Auto-generated benchmark | 2GB |
| ibm-granite/granite-3.3-2b-instruct | Q4 | 100.35 tok/sEstimated Auto-generated benchmark | 1GB |
| ibm-research/PowerMoE-3b | Q4 | 100.32 tok/sEstimated Auto-generated benchmark | 2GB |
| google-t5/t5-3b | Q4 | 99.15 tok/sEstimated Auto-generated benchmark | 2GB |
| WeiboAI/VibeThinker-1.5B | Q4 | 96.35 tok/sEstimated Auto-generated benchmark | 1GB |
| unsloth/gemma-3-1b-it | Q4 | 96.06 tok/sEstimated Auto-generated benchmark | 1GB |
| meta-llama/Meta-Llama-3-8B | Q4 | 95.83 tok/sEstimated Auto-generated benchmark | 4GB |
| Qwen/Qwen3-4B | Q4 | 95.60 tok/sEstimated Auto-generated benchmark | 2GB |
| Qwen/Qwen3-1.7B | Q4 | 95.46 tok/sEstimated Auto-generated benchmark | 4GB |
| meta-llama/Llama-Guard-3-1B | Q4 | 95.28 tok/sEstimated Auto-generated benchmark | 1GB |
| lmsys/vicuna-7b-v1.5 | Q4 | 94.44 tok/sEstimated Auto-generated benchmark | 4GB |
| Alibaba-NLP/gte-Qwen2-1.5B-instruct | Q4 | 94.39 tok/sEstimated Auto-generated benchmark | 3GB |
| Qwen/Qwen3-Embedding-4B | Q4 | 94.39 tok/sEstimated Auto-generated benchmark | 2GB |
| Qwen/Qwen3-8B-Base | Q4 | 94.33 tok/sEstimated Auto-generated benchmark | 4GB |
| microsoft/DialoGPT-small | Q4 | 94.32 tok/sEstimated Auto-generated benchmark | 4GB |
| meta-llama/Llama-3.2-3B-Instruct | Q4 | 94.15 tok/sEstimated Auto-generated benchmark | 2GB |
| google/gemma-3-270m-it | Q4 | 94.05 tok/sEstimated Auto-generated benchmark | 4GB |
| llamafactory/tiny-random-Llama-3 | Q4 | 94.03 tok/sEstimated Auto-generated benchmark | 4GB |
| ibm-granite/granite-3.3-8b-instruct | Q4 | 93.97 tok/sEstimated Auto-generated benchmark | 4GB |
| lmstudio-community/Qwen3-4B-Thinking-2507-MLX-8bit | Q4 | 93.93 tok/sEstimated Auto-generated benchmark | 2GB |
| zai-org/GLM-4.5-Air | Q4 | 93.85 tok/sEstimated Auto-generated benchmark | 4GB |
| EleutherAI/pythia-70m-deduped | Q4 | 93.82 tok/sEstimated Auto-generated benchmark | 4GB |
| Qwen/Qwen2-0.5B-Instruct | Q4 | 93.76 tok/sEstimated Auto-generated benchmark | 3GB |
| openai-community/gpt2 | Q4 | 93.73 tok/sEstimated Auto-generated benchmark | 4GB |
| microsoft/VibeVoice-1.5B | Q4 | 93.72 tok/sEstimated Auto-generated benchmark | 3GB |
| swiss-ai/Apertus-8B-Instruct-2509 | Q4 | 93.45 tok/sEstimated Auto-generated benchmark | 4GB |
Note: Performance estimates are calculated. Real results may vary. Methodology · Submit real data
| Model | Quantization | Verdict | Estimated speed | VRAM needed |
|---|---|---|---|---|
| context-labs/meta-llama-Llama-3.2-3B-Instruct-FP16 | FP16 | Fits comfortably | 35.92 tok/sEstimated | 6GB (have 12GB) |
| mistralai/Mistral-7B-Instruct-v0.2 | Q4 | Fits comfortably | 86.13 tok/sEstimated | 4GB (have 12GB) |
| meta-llama/Llama-3.2-1B | Q8 | Fits comfortably | 77.91 tok/sEstimated | 1GB (have 12GB) |
| Qwen/Qwen2.5-7B | Q4 | Fits comfortably | 80.91 tok/sEstimated | 4GB (have 12GB) |
| Qwen/Qwen2.5-7B | Q8 | Fits comfortably | 63.84 tok/sEstimated | 7GB (have 12GB) |
| Qwen/Qwen2.5-7B | FP16 | Not supported | 31.55 tok/sEstimated | 15GB (have 12GB) |
| microsoft/Phi-3-mini-4k-instruct | Q4 | Fits comfortably | 83.83 tok/sEstimated | 4GB (have 12GB) |
| microsoft/Phi-3-mini-4k-instruct | Q8 | Fits comfortably | 55.56 tok/sEstimated | 7GB (have 12GB) |
| microsoft/Phi-3-mini-4k-instruct | FP16 | Not supported | 29.86 tok/sEstimated | 15GB (have 12GB) |
| kaitchup/Phi-3-mini-4k-instruct-gptq-4bit | Q8 | Fits comfortably | 59.40 tok/sEstimated | 4GB (have 12GB) |
| kaitchup/Phi-3-mini-4k-instruct-gptq-4bit | FP16 | Fits comfortably | 34.16 tok/sEstimated | 9GB (have 12GB) |
| Qwen/Qwen2.5-1.5B | Q4 | Fits comfortably | 79.72 tok/sEstimated | 3GB (have 12GB) |
| Qwen/Qwen2.5-1.5B | Q8 | Fits comfortably | 61.04 tok/sEstimated | 5GB (have 12GB) |
| unsloth/Meta-Llama-3.1-8B-Instruct-bnb-4bit | Q4 | Fits comfortably | 88.62 tok/sEstimated | 4GB (have 12GB) |
| Qwen/Qwen3-14B | Q8 | Not supported | 49.10 tok/sEstimated | 14GB (have 12GB) |
| Qwen/Qwen3-14B | FP16 | Not supported | 25.27 tok/sEstimated | 29GB (have 12GB) |
| Qwen/Qwen2.5-0.5B | Q4 | Fits comfortably | 81.82 tok/sEstimated | 3GB (have 12GB) |
| Qwen/Qwen2-0.5B | Q8 | Fits comfortably | 63.98 tok/sEstimated | 5GB (have 12GB) |
| meta-llama/Meta-Llama-3-70B-Instruct | Q8 | Not supported | 21.64 tok/sEstimated | 68GB (have 12GB) |
| meta-llama/Meta-Llama-3-70B-Instruct | FP16 | Not supported | 11.33 tok/sEstimated | 137GB (have 12GB) |
| Qwen/Qwen3-Embedding-4B | Q4 | Fits comfortably | 94.39 tok/sEstimated | 2GB (have 12GB) |
| Qwen/Qwen3-Embedding-4B | Q8 | Fits comfortably | 57.53 tok/sEstimated | 4GB (have 12GB) |
| Qwen/Qwen3-Coder-30B-A3B-Instruct | Q4 | Not supported | 51.42 tok/sEstimated | 15GB (have 12GB) |
| Qwen/Qwen3-Coder-30B-A3B-Instruct | Q8 | Not supported | 33.88 tok/sEstimated | 31GB (have 12GB) |
| Qwen/Qwen2-7B-Instruct | Q8 | Fits comfortably | 64.50 tok/sEstimated | 7GB (have 12GB) |
| Qwen/Qwen2-7B-Instruct | FP16 | Not supported | 33.00 tok/sEstimated | 15GB (have 12GB) |
| RedHatAI/Meta-Llama-3.1-70B-Instruct-quantized.w4a16 | FP16 | Not supported | 11.31 tok/sEstimated | 137GB (have 12GB) |
| OpenPipe/Qwen3-14B-Instruct | Q4 | Fits comfortably | 60.88 tok/sEstimated | 7GB (have 12GB) |
| OpenPipe/Qwen3-14B-Instruct | Q8 | Not supported | 46.69 tok/sEstimated | 14GB (have 12GB) |
| OpenPipe/Qwen3-14B-Instruct | FP16 | Not supported | 24.73 tok/sEstimated | 29GB (have 12GB) |
| openai-community/gpt2-xl | Q4 | Fits comfortably | 92.69 tok/sEstimated | 4GB (have 12GB) |
| sshleifer/tiny-gpt2 | FP16 | Not supported | 33.26 tok/sEstimated | 15GB (have 12GB) |
| microsoft/Phi-3-mini-128k-instruct | Q4 | Fits comfortably | 93.35 tok/sEstimated | 4GB (have 12GB) |
| microsoft/Phi-3-mini-128k-instruct | Q8 | Fits comfortably | 55.63 tok/sEstimated | 7GB (have 12GB) |
| microsoft/Phi-3-mini-128k-instruct | FP16 | Not supported | 30.85 tok/sEstimated | 15GB (have 12GB) |
| numind/NuExtract-1.5 | FP16 | Not supported | 30.87 tok/sEstimated | 15GB (have 12GB) |
| Qwen/Qwen2.5-Coder-7B-Instruct | Q4 | Fits comfortably | 81.72 tok/sEstimated | 4GB (have 12GB) |
| Qwen/Qwen2.5-Coder-7B-Instruct | Q8 | Fits comfortably | 60.95 tok/sEstimated | 7GB (have 12GB) |
| Qwen/Qwen2.5-Coder-7B-Instruct | FP16 | Not supported | 36.05 tok/sEstimated | 15GB (have 12GB) |
| RedHatAI/Llama-3.2-90B-Vision-Instruct-FP8-dynamic | Q8 | Not supported | 12.10 tok/sEstimated | 88GB (have 12GB) |
| GSAI-ML/LLaDA-8B-Instruct | Q4 | Fits comfortably | 85.79 tok/sEstimated | 4GB (have 12GB) |
| GSAI-ML/LLaDA-8B-Instruct | Q8 | Fits comfortably | 58.22 tok/sEstimated | 9GB (have 12GB) |
| GSAI-ML/LLaDA-8B-Instruct | FP16 | Not supported | 31.19 tok/sEstimated | 17GB (have 12GB) |
| lmstudio-community/DeepSeek-R1-0528-Qwen3-8B-MLX-4bit | Q8 | Fits comfortably | 55.05 tok/sEstimated | 9GB (have 12GB) |
| lmstudio-community/DeepSeek-R1-0528-Qwen3-8B-MLX-4bit | FP16 | Not supported | 35.16 tok/sEstimated | 17GB (have 12GB) |
| Qwen/Qwen3-30B-A3B-Instruct-2507-FP8 | FP16 | Not supported | 18.47 tok/sEstimated | 61GB (have 12GB) |
| Qwen/Qwen3-4B-Thinking-2507 | Q4 | Fits comfortably | 93.10 tok/sEstimated | 2GB (have 12GB) |
| Qwen/Qwen3-4B-Thinking-2507 | Q8 | Fits comfortably | 66.03 tok/sEstimated | 4GB (have 12GB) |
| Qwen/Qwen3-4B-Thinking-2507 | FP16 | Fits comfortably | 33.27 tok/sEstimated | 9GB (have 12GB) |
| context-labs/meta-llama-Llama-3.2-3B-Instruct-FP16 | Q8 | Fits comfortably | 67.80 tok/sEstimated | 3GB (have 12GB) |
Note: Performance estimates are calculated. Real results may vary. Methodology · Submit real data
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