Quick Answer: RTX 4060 Ti 8GB offers 8GB VRAM and starts around $585.46. It delivers approximately 66 tokens/sec on context-labs/meta-llama-Llama-3.2-3B-Instruct-FP16. It typically draws 160W 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 |
|---|---|---|---|
| context-labs/meta-llama-Llama-3.2-3B-Instruct-FP16 | Q4 | 66.06 tok/sEstimated Auto-generated benchmark | 2GB |
| bigcode/starcoder2-3b | Q4 | 66.04 tok/sEstimated Auto-generated benchmark | 2GB |
| meta-llama/Llama-3.2-3B | Q4 | 65.58 tok/sEstimated Auto-generated benchmark | 2GB |
| ibm-granite/granite-3.3-2b-instruct | Q4 | 65.41 tok/sEstimated Auto-generated benchmark | 1GB |
| meta-llama/Llama-3.2-1B | Q4 | 65.14 tok/sEstimated Auto-generated benchmark | 1GB |
| google/gemma-2-2b-it | Q4 | 64.04 tok/sEstimated Auto-generated benchmark | 1GB |
| meta-llama/Llama-3.2-1B-Instruct | Q4 | 63.78 tok/sEstimated Auto-generated benchmark | 1GB |
| apple/OpenELM-1_1B-Instruct | Q4 | 63.75 tok/sEstimated Auto-generated benchmark | 1GB |
| LiquidAI/LFM2-1.2B | Q4 | 63.68 tok/sEstimated Auto-generated benchmark | 1GB |
| meta-llama/Llama-3.2-3B-Instruct | Q4 | 62.64 tok/sEstimated Auto-generated benchmark | 2GB |
| unsloth/gemma-3-1b-it | Q4 | 62.50 tok/sEstimated Auto-generated benchmark | 1GB |
| WeiboAI/VibeThinker-1.5B | Q4 | 61.95 tok/sEstimated Auto-generated benchmark | 1GB |
| deepseek-ai/deepseek-coder-1.3b-instruct | Q4 | 61.61 tok/sEstimated Auto-generated benchmark | 2GB |
| unsloth/Llama-3.2-1B-Instruct | Q4 | 61.35 tok/sEstimated Auto-generated benchmark | 1GB |
| tencent/HunyuanOCR | Q4 | 61.08 tok/sEstimated Auto-generated benchmark | 1GB |
| Qwen/Qwen2.5-3B | Q4 | 60.72 tok/sEstimated Auto-generated benchmark | 2GB |
| nari-labs/Dia2-2B | Q4 | 60.41 tok/sEstimated Auto-generated benchmark | 2GB |
| TinyLlama/TinyLlama-1.1B-Chat-v1.0 | Q4 | 59.99 tok/sEstimated Auto-generated benchmark | 1GB |
| deepseek-ai/DeepSeek-OCR | Q4 | 59.87 tok/sEstimated Auto-generated benchmark | 2GB |
| google-bert/bert-base-uncased | Q4 | 59.45 tok/sEstimated Auto-generated benchmark | 1GB |
| meta-llama/Llama-Guard-3-1B | Q4 | 59.24 tok/sEstimated Auto-generated benchmark | 1GB |
| google-t5/t5-3b | Q4 | 58.45 tok/sEstimated Auto-generated benchmark | 2GB |
| facebook/sam3 | Q4 | 58.42 tok/sEstimated Auto-generated benchmark | 1GB |
| unsloth/Llama-3.2-3B-Instruct | Q4 | 58.07 tok/sEstimated Auto-generated benchmark | 2GB |
| google/embeddinggemma-300m | Q4 | 57.77 tok/sEstimated Auto-generated benchmark | 1GB |
| allenai/OLMo-2-0425-1B | Q4 | 57.76 tok/sEstimated Auto-generated benchmark | 1GB |
| ibm-research/PowerMoE-3b | Q4 | 57.17 tok/sEstimated Auto-generated benchmark | 2GB |
| google/gemma-2b | Q4 | 56.97 tok/sEstimated Auto-generated benchmark | 1GB |
| Qwen/Qwen2.5-3B-Instruct | Q4 | 56.49 tok/sEstimated Auto-generated benchmark | 2GB |
| google/gemma-3-1b-it | Q4 | 55.53 tok/sEstimated Auto-generated benchmark | 1GB |
| meta-llama/Llama-2-7b-hf | Q4 | 55.50 tok/sEstimated Auto-generated benchmark | 4GB |
| Qwen/Qwen2-1.5B-Instruct | Q4 | 55.41 tok/sEstimated Auto-generated benchmark | 3GB |
| dicta-il/dictalm2.0-instruct | Q4 | 55.38 tok/sEstimated Auto-generated benchmark | 4GB |
| Qwen/Qwen3-4B-Instruct-2507 | Q4 | 55.33 tok/sEstimated Auto-generated benchmark | 2GB |
| lmstudio-community/Qwen3-4B-Thinking-2507-MLX-4bit | Q4 | 55.28 tok/sEstimated Auto-generated benchmark | 2GB |
| inference-net/Schematron-3B | Q4 | 55.26 tok/sEstimated Auto-generated benchmark | 2GB |
| Qwen/Qwen3-Embedding-8B | Q4 | 55.25 tok/sEstimated Auto-generated benchmark | 4GB |
| meta-llama/Llama-3.1-8B-Instruct | Q4 | 55.20 tok/sEstimated Auto-generated benchmark | 4GB |
| HuggingFaceM4/tiny-random-LlamaForCausalLM | Q4 | 55.12 tok/sEstimated Auto-generated benchmark | 4GB |
| EleutherAI/pythia-70m-deduped | Q4 | 55.06 tok/sEstimated Auto-generated benchmark | 4GB |
| Qwen/Qwen-Image-Edit-2509 | Q4 | 54.94 tok/sEstimated Auto-generated benchmark | 4GB |
| Qwen/Qwen3-4B-Thinking-2507-FP8 | Q4 | 54.88 tok/sEstimated Auto-generated benchmark | 2GB |
| deepseek-ai/DeepSeek-V3-0324 | Q4 | 54.57 tok/sEstimated Auto-generated benchmark | 4GB |
| deepseek-ai/DeepSeek-R1-Distill-Qwen-7B | Q4 | 54.51 tok/sEstimated Auto-generated benchmark | 4GB |
| Qwen/Qwen3-4B-Thinking-2507 | Q4 | 54.40 tok/sEstimated Auto-generated benchmark | 2GB |
| Tongyi-MAI/Z-Image-Turbo | Q4 | 54.37 tok/sEstimated Auto-generated benchmark | 4GB |
| microsoft/phi-2 | Q4 | 54.34 tok/sEstimated Auto-generated benchmark | 4GB |
| microsoft/Phi-3.5-mini-instruct | Q4 | 54.33 tok/sEstimated Auto-generated benchmark | 2GB |
| parler-tts/parler-tts-large-v1 | Q4 | 54.32 tok/sEstimated Auto-generated benchmark | 4GB |
| meta-llama/Meta-Llama-3-8B-Instruct | Q4 | 54.18 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 |
|---|---|---|---|---|
| google/gemma-3-1b-it | Q8 | Fits comfortably | 38.53 tok/sEstimated | 1GB (have 8GB) |
| Qwen/Qwen3-Embedding-0.6B | Q4 | Fits comfortably | 48.69 tok/sEstimated | 3GB (have 8GB) |
| Qwen/Qwen3-Embedding-0.6B | Q8 | Fits comfortably | 32.67 tok/sEstimated | 6GB (have 8GB) |
| Qwen/Qwen3-Embedding-0.6B | FP16 | Not supported | 19.52 tok/sEstimated | 13GB (have 8GB) |
| Qwen/Qwen2.5-1.5B-Instruct | Q4 | Fits comfortably | 53.67 tok/sEstimated | 3GB (have 8GB) |
| TinyLlama/TinyLlama-1.1B-Chat-v1.0 | Q4 | Fits comfortably | 59.99 tok/sEstimated | 1GB (have 8GB) |
| TinyLlama/TinyLlama-1.1B-Chat-v1.0 | Q8 | Fits comfortably | 41.17 tok/sEstimated | 1GB (have 8GB) |
| TinyLlama/TinyLlama-1.1B-Chat-v1.0 | FP16 | Fits comfortably | 22.51 tok/sEstimated | 2GB (have 8GB) |
| trl-internal-testing/tiny-Qwen2ForCausalLM-2.5 | Q4 | Fits comfortably | 49.84 tok/sEstimated | 4GB (have 8GB) |
| trl-internal-testing/tiny-Qwen2ForCausalLM-2.5 | Q8 | Fits (tight) | 35.50 tok/sEstimated | 7GB (have 8GB) |
| trl-internal-testing/tiny-Qwen2ForCausalLM-2.5 | FP16 | Not supported | 20.68 tok/sEstimated | 15GB (have 8GB) |
| Qwen/Qwen3-4B-Instruct-2507 | Q4 | Fits comfortably | 55.33 tok/sEstimated | 2GB (have 8GB) |
| Qwen/Qwen2.5-0.5B-Instruct | FP16 | Not supported | 18.34 tok/sEstimated | 11GB (have 8GB) |
| allenai/OLMo-2-0425-1B | Q8 | Fits comfortably | 40.83 tok/sEstimated | 1GB (have 8GB) |
| allenai/OLMo-2-0425-1B | FP16 | Fits comfortably | 22.36 tok/sEstimated | 2GB (have 8GB) |
| mistralai/Mistral-7B-Instruct-v0.1 | FP16 | Not supported | 18.35 tok/sEstimated | 15GB (have 8GB) |
| zai-org/GLM-4.5-Air | Q4 | Fits comfortably | 53.44 tok/sEstimated | 4GB (have 8GB) |
| zai-org/GLM-4.5-Air | Q8 | Fits (tight) | 34.46 tok/sEstimated | 7GB (have 8GB) |
| IlyaGusev/saiga_llama3_8b | Q4 | Fits comfortably | 45.80 tok/sEstimated | 4GB (have 8GB) |
| Qwen/Qwen2-1.5B-Instruct | Q4 | Fits comfortably | 55.41 tok/sEstimated | 3GB (have 8GB) |
| Qwen/Qwen2-1.5B-Instruct | Q8 | Fits comfortably | 36.16 tok/sEstimated | 5GB (have 8GB) |
| Qwen/Qwen2-1.5B-Instruct | FP16 | Not supported | 20.81 tok/sEstimated | 11GB (have 8GB) |
| meta-llama/Llama-Guard-3-1B | Q4 | Fits comfortably | 59.24 tok/sEstimated | 1GB (have 8GB) |
| OpenPipe/Qwen3-14B-Instruct | Q8 | Not supported | 28.93 tok/sEstimated | 14GB (have 8GB) |
| Qwen/Qwen3-4B-Thinking-2507 | Q8 | Fits comfortably | 32.46 tok/sEstimated | 4GB (have 8GB) |
| Qwen/Qwen3-4B-Thinking-2507 | FP16 | Not supported | 20.21 tok/sEstimated | 9GB (have 8GB) |
| HuggingFaceH4/zephyr-7b-beta | Q8 | Fits (tight) | 33.66 tok/sEstimated | 7GB (have 8GB) |
| Alibaba-NLP/gte-Qwen2-1.5B-instruct | Q4 | Fits comfortably | 49.64 tok/sEstimated | 3GB (have 8GB) |
| Alibaba-NLP/gte-Qwen2-1.5B-instruct | Q8 | Fits comfortably | 32.86 tok/sEstimated | 5GB (have 8GB) |
| Qwen/Qwen2-0.5B-Instruct | Q4 | Fits comfortably | 53.63 tok/sEstimated | 3GB (have 8GB) |
| Qwen/Qwen2-0.5B-Instruct | FP16 | Not supported | 18.22 tok/sEstimated | 11GB (have 8GB) |
| GSAI-ML/LLaDA-8B-Base | Q4 | Fits comfortably | 48.23 tok/sEstimated | 4GB (have 8GB) |
| baichuan-inc/Baichuan-M2-32B | FP16 | Not supported | 6.99 tok/sEstimated | 66GB (have 8GB) |
| ai-forever/ruGPT-3.5-13B | Q4 | Fits (tight) | 38.98 tok/sEstimated | 7GB (have 8GB) |
| tencent/HunyuanOCR | Q8 | Fits comfortably | 40.99 tok/sEstimated | 2GB (have 8GB) |
| MiniMaxAI/MiniMax-M1-40k | FP16 | Not supported | 2.47 tok/sEstimated | 1020GB (have 8GB) |
| WeiboAI/VibeThinker-1.5B | Q4 | Fits comfortably | 61.95 tok/sEstimated | 1GB (have 8GB) |
| WeiboAI/VibeThinker-1.5B | Q8 | Fits comfortably | 39.77 tok/sEstimated | 2GB (have 8GB) |
| WeiboAI/VibeThinker-1.5B | FP16 | Fits comfortably | 21.40 tok/sEstimated | 4GB (have 8GB) |
| google/gemma-3-1b-it | FP16 | Fits comfortably | 25.26 tok/sEstimated | 2GB (have 8GB) |
| microsoft/DialoGPT-small | Q8 | Fits (tight) | 36.48 tok/sEstimated | 7GB (have 8GB) |
| microsoft/DialoGPT-small | FP16 | Not supported | 17.72 tok/sEstimated | 15GB (have 8GB) |
| deepseek-ai/DeepSeek-R1 | Q4 | Fits comfortably | 49.54 tok/sEstimated | 4GB (have 8GB) |
| Qwen/Qwen3-30B-A3B | Q8 | Not supported | 19.71 tok/sEstimated | 31GB (have 8GB) |
| Qwen/Qwen3-30B-A3B | FP16 | Not supported | 10.51 tok/sEstimated | 61GB (have 8GB) |
| Qwen/Qwen3-30B-A3B-Instruct-2507-FP8 | FP16 | Not supported | 10.22 tok/sEstimated | 61GB (have 8GB) |
| Qwen/Qwen3-4B-Thinking-2507 | Q4 | Fits comfortably | 54.40 tok/sEstimated | 2GB (have 8GB) |
| HuggingFaceH4/zephyr-7b-beta | Q4 | Fits comfortably | 53.61 tok/sEstimated | 4GB (have 8GB) |
| Qwen/Qwen3-4B-Thinking-2507-FP8 | Q4 | Fits comfortably | 54.88 tok/sEstimated | 2GB (have 8GB) |
| Gensyn/Qwen2.5-0.5B-Instruct | Q8 | Fits comfortably | 36.82 tok/sEstimated | 5GB (have 8GB) |
Note: Performance estimates are calculated. Real results may vary. Methodology · Submit real data
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