Quick Answer: RTX 5080 offers 16GB VRAM and starts around $1299.99. It delivers approximately 208 tokens/sec on nari-labs/Dia2-2B. It typically draws 360W 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 |
|---|---|---|---|
| nari-labs/Dia2-2B | Q4 | 207.95 tok/sEstimated Auto-generated benchmark | 2GB |
| meta-llama/Llama-3.2-1B-Instruct | Q4 | 207.80 tok/sEstimated Auto-generated benchmark | 1GB |
| google/embeddinggemma-300m | Q4 | 207.62 tok/sEstimated Auto-generated benchmark | 1GB |
| google/gemma-2b | Q4 | 207.49 tok/sEstimated Auto-generated benchmark | 1GB |
| LiquidAI/LFM2-1.2B | Q4 | 201.80 tok/sEstimated Auto-generated benchmark | 1GB |
| google/gemma-2-2b-it | Q4 | 199.19 tok/sEstimated Auto-generated benchmark | 1GB |
| ibm-research/PowerMoE-3b | Q4 | 198.80 tok/sEstimated Auto-generated benchmark | 2GB |
| context-labs/meta-llama-Llama-3.2-3B-Instruct-FP16 | Q4 | 198.19 tok/sEstimated Auto-generated benchmark | 2GB |
| deepseek-ai/deepseek-coder-1.3b-instruct | Q4 | 195.44 tok/sEstimated Auto-generated benchmark | 2GB |
| unsloth/Llama-3.2-1B-Instruct | Q4 | 195.44 tok/sEstimated Auto-generated benchmark | 1GB |
| unsloth/Llama-3.2-3B-Instruct | Q4 | 195.10 tok/sEstimated Auto-generated benchmark | 2GB |
| meta-llama/Llama-Guard-3-1B | Q4 | 195.06 tok/sEstimated Auto-generated benchmark | 1GB |
| apple/OpenELM-1_1B-Instruct | Q4 | 194.94 tok/sEstimated Auto-generated benchmark | 1GB |
| bigcode/starcoder2-3b | Q4 | 194.87 tok/sEstimated Auto-generated benchmark | 2GB |
| Qwen/Qwen2.5-3B-Instruct | Q4 | 192.71 tok/sEstimated Auto-generated benchmark | 2GB |
| google-t5/t5-3b | Q4 | 192.38 tok/sEstimated Auto-generated benchmark | 2GB |
| meta-llama/Llama-3.2-3B-Instruct | Q4 | 190.47 tok/sEstimated Auto-generated benchmark | 2GB |
| google/gemma-3-1b-it | Q4 | 189.63 tok/sEstimated Auto-generated benchmark | 1GB |
| Qwen/Qwen2.5-3B | Q4 | 188.73 tok/sEstimated Auto-generated benchmark | 2GB |
| facebook/sam3 | Q4 | 188.42 tok/sEstimated Auto-generated benchmark | 1GB |
| google-bert/bert-base-uncased | Q4 | 186.13 tok/sEstimated Auto-generated benchmark | 1GB |
| meta-llama/Llama-3.2-3B | Q4 | 185.64 tok/sEstimated Auto-generated benchmark | 2GB |
| inference-net/Schematron-3B | Q4 | 183.18 tok/sEstimated Auto-generated benchmark | 2GB |
| tencent/HunyuanOCR | Q4 | 182.92 tok/sEstimated Auto-generated benchmark | 1GB |
| deepseek-ai/DeepSeek-OCR | Q4 | 181.78 tok/sEstimated Auto-generated benchmark | 2GB |
| ibm-granite/granite-3.3-2b-instruct | Q4 | 181.07 tok/sEstimated Auto-generated benchmark | 1GB |
| meta-llama/Llama-3.2-1B | Q4 | 176.37 tok/sEstimated Auto-generated benchmark | 1GB |
| WeiboAI/VibeThinker-1.5B | Q4 | 175.69 tok/sEstimated Auto-generated benchmark | 1GB |
| microsoft/phi-2 | Q4 | 173.91 tok/sEstimated Auto-generated benchmark | 4GB |
| microsoft/Phi-3.5-mini-instruct | Q4 | 173.89 tok/sEstimated Auto-generated benchmark | 4GB |
| petals-team/StableBeluga2 | Q4 | 173.79 tok/sEstimated Auto-generated benchmark | 4GB |
| vikhyatk/moondream2 | Q4 | 173.50 tok/sEstimated Auto-generated benchmark | 4GB |
| deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B | Q4 | 173.08 tok/sEstimated Auto-generated benchmark | 3GB |
| allenai/OLMo-2-0425-1B | Q4 | 172.97 tok/sEstimated Auto-generated benchmark | 1GB |
| Qwen/Qwen2.5-1.5B | Q4 | 172.69 tok/sEstimated Auto-generated benchmark | 3GB |
| TinyLlama/TinyLlama-1.1B-Chat-v1.0 | Q4 | 172.51 tok/sEstimated Auto-generated benchmark | 1GB |
| microsoft/Phi-4-multimodal-instruct | Q4 | 172.09 tok/sEstimated Auto-generated benchmark | 4GB |
| Qwen/Qwen2.5-1.5B-Instruct | Q4 | 172.02 tok/sEstimated Auto-generated benchmark | 3GB |
| unsloth/gemma-3-1b-it | Q4 | 171.78 tok/sEstimated Auto-generated benchmark | 1GB |
| microsoft/DialoGPT-small | Q4 | 171.52 tok/sEstimated Auto-generated benchmark | 4GB |
| facebook/opt-125m | Q4 | 171.50 tok/sEstimated Auto-generated benchmark | 4GB |
| Qwen/Qwen3-1.7B-Base | Q4 | 171.49 tok/sEstimated Auto-generated benchmark | 4GB |
| BSC-LT/salamandraTA-7b-instruct | Q4 | 171.17 tok/sEstimated Auto-generated benchmark | 4GB |
| black-forest-labs/FLUX.1-dev | Q4 | 171.16 tok/sEstimated Auto-generated benchmark | 4GB |
| Qwen/Qwen3-8B-Base | Q4 | 170.31 tok/sEstimated Auto-generated benchmark | 4GB |
| deepseek-ai/DeepSeek-R1-0528 | Q4 | 169.39 tok/sEstimated Auto-generated benchmark | 4GB |
| Gensyn/Qwen2.5-0.5B-Instruct | Q4 | 169.05 tok/sEstimated Auto-generated benchmark | 3GB |
| lmstudio-community/Qwen3-4B-Thinking-2507-MLX-4bit | Q4 | 168.93 tok/sEstimated Auto-generated benchmark | 2GB |
| microsoft/Phi-3.5-mini-instruct | Q4 | 168.76 tok/sEstimated Auto-generated benchmark | 2GB |
| Qwen/Qwen2-0.5B | Q4 | 168.57 tok/sEstimated Auto-generated benchmark | 3GB |
Note: Performance estimates are calculated. Real results may vary. Methodology · Submit real data
| Model | Quantization | Verdict | Estimated speed | VRAM needed |
|---|---|---|---|---|
| openai/gpt-oss-20b | FP16 | Not supported | 35.13 tok/sEstimated | 41GB (have 16GB) |
| google/gemma-3-1b-it | Q4 | Fits comfortably | 189.63 tok/sEstimated | 1GB (have 16GB) |
| google/gemma-3-1b-it | Q8 | Fits comfortably | 125.61 tok/sEstimated | 1GB (have 16GB) |
| google/gemma-3-1b-it | FP16 | Fits comfortably | 74.98 tok/sEstimated | 2GB (have 16GB) |
| TinyLlama/TinyLlama-1.1B-Chat-v1.0 | Q4 | Fits comfortably | 172.51 tok/sEstimated | 1GB (have 16GB) |
| TinyLlama/TinyLlama-1.1B-Chat-v1.0 | Q8 | Fits comfortably | 128.62 tok/sEstimated | 1GB (have 16GB) |
| TinyLlama/TinyLlama-1.1B-Chat-v1.0 | FP16 | Fits comfortably | 66.00 tok/sEstimated | 2GB (have 16GB) |
| Qwen/Qwen3-8B | Q8 | Fits comfortably | 109.57 tok/sEstimated | 9GB (have 16GB) |
| Qwen/Qwen3-8B | FP16 | Not supported | 58.84 tok/sEstimated | 17GB (have 16GB) |
| vikhyatk/moondream2 | FP16 | Fits (tight) | 55.30 tok/sEstimated | 15GB (have 16GB) |
| petals-team/StableBeluga2 | Q8 | Fits comfortably | 100.73 tok/sEstimated | 7GB (have 16GB) |
| petals-team/StableBeluga2 | FP16 | Fits (tight) | 56.54 tok/sEstimated | 15GB (have 16GB) |
| meta-llama/Llama-3.2-1B | Q4 | Fits comfortably | 176.37 tok/sEstimated | 1GB (have 16GB) |
| meta-llama/Meta-Llama-3-8B | FP16 | Not supported | 55.41 tok/sEstimated | 17GB (have 16GB) |
| Qwen/Qwen2.5-0.5B-Instruct | Q4 | Fits comfortably | 145.03 tok/sEstimated | 3GB (have 16GB) |
| Qwen/Qwen2.5-0.5B-Instruct | Q8 | Fits comfortably | 101.59 tok/sEstimated | 5GB (have 16GB) |
| Qwen/Qwen2.5-0.5B-Instruct | FP16 | Fits comfortably | 62.72 tok/sEstimated | 11GB (have 16GB) |
| Qwen/Qwen3-32B | Q4 | Fits (tight) | 56.04 tok/sEstimated | 16GB (have 16GB) |
| Qwen/Qwen3-32B | Q8 | Not supported | 36.78 tok/sEstimated | 33GB (have 16GB) |
| Qwen/Qwen3-32B | FP16 | Not supported | 21.82 tok/sEstimated | 66GB (have 16GB) |
| Qwen/Qwen3-Next-80B-A3B-Instruct | Q4 | Not supported | 29.97 tok/sEstimated | 39GB (have 16GB) |
| Qwen/Qwen3-Next-80B-A3B-Instruct | Q8 | Not supported | 23.37 tok/sEstimated | 78GB (have 16GB) |
| Qwen/Qwen3-Next-80B-A3B-Instruct | FP16 | Not supported | 12.84 tok/sEstimated | 156GB (have 16GB) |
| allenai/OLMo-2-0425-1B | Q4 | Fits comfortably | 172.97 tok/sEstimated | 1GB (have 16GB) |
| allenai/OLMo-2-0425-1B | Q8 | Fits comfortably | 137.37 tok/sEstimated | 1GB (have 16GB) |
| allenai/OLMo-2-0425-1B | FP16 | Fits comfortably | 75.09 tok/sEstimated | 2GB (have 16GB) |
| microsoft/Phi-3-mini-4k-instruct | Q4 | Fits comfortably | 155.22 tok/sEstimated | 4GB (have 16GB) |
| microsoft/Phi-3-mini-4k-instruct | Q8 | Fits comfortably | 116.78 tok/sEstimated | 7GB (have 16GB) |
| openai-community/gpt2-large | Q8 | Fits comfortably | 121.42 tok/sEstimated | 7GB (have 16GB) |
| openai-community/gpt2-large | FP16 | Fits (tight) | 55.87 tok/sEstimated | 15GB (have 16GB) |
| Qwen/Qwen3-1.7B | Q4 | Fits comfortably | 147.27 tok/sEstimated | 4GB (have 16GB) |
| Qwen/Qwen3-1.7B | Q8 | Fits comfortably | 119.03 tok/sEstimated | 7GB (have 16GB) |
| Qwen/Qwen3-1.7B | FP16 | Fits (tight) | 55.09 tok/sEstimated | 15GB (have 16GB) |
| Qwen/Qwen3-4B | Q4 | Fits comfortably | 149.52 tok/sEstimated | 2GB (have 16GB) |
| Qwen/Qwen3-4B | Q8 | Fits comfortably | 113.63 tok/sEstimated | 4GB (have 16GB) |
| Qwen/Qwen3-4B | FP16 | Fits comfortably | 60.00 tok/sEstimated | 9GB (have 16GB) |
| Qwen/Qwen3-30B-A3B-Instruct-2507 | Q4 | Fits (tight) | 84.31 tok/sEstimated | 15GB (have 16GB) |
| Qwen/Qwen3-30B-A3B-Instruct-2507 | Q8 | Not supported | 57.10 tok/sEstimated | 31GB (have 16GB) |
| meta-llama/Meta-Llama-3-8B-Instruct | FP16 | Not supported | 54.70 tok/sEstimated | 17GB (have 16GB) |
| deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B | Q4 | Fits comfortably | 173.08 tok/sEstimated | 3GB (have 16GB) |
| deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B | Q8 | Fits comfortably | 102.38 tok/sEstimated | 5GB (have 16GB) |
| deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B | FP16 | Fits comfortably | 59.52 tok/sEstimated | 11GB (have 16GB) |
| mlx-community/gpt-oss-20b-MXFP4-Q8 | Q4 | Fits comfortably | 84.84 tok/sEstimated | 10GB (have 16GB) |
| mlx-community/gpt-oss-20b-MXFP4-Q8 | Q8 | Not supported | 63.41 tok/sEstimated | 20GB (have 16GB) |
| mlx-community/gpt-oss-20b-MXFP4-Q8 | FP16 | Not supported | 32.34 tok/sEstimated | 41GB (have 16GB) |
| kaitchup/Phi-3-mini-4k-instruct-gptq-4bit | Q4 | Fits comfortably | 164.59 tok/sEstimated | 2GB (have 16GB) |
| kaitchup/Phi-3-mini-4k-instruct-gptq-4bit | Q8 | Fits comfortably | 109.57 tok/sEstimated | 4GB (have 16GB) |
| Qwen/Qwen2.5-14B-Instruct | Q8 | Fits comfortably | 79.54 tok/sEstimated | 14GB (have 16GB) |
| meta-llama/Llama-3.1-70B-Instruct | Q4 | Not supported | 57.42 tok/sEstimated | 34GB (have 16GB) |
| meta-llama/Llama-3.1-8B-Instruct | Q8 | Fits comfortably | 99.96 tok/sEstimated | 9GB (have 16GB) |
Note: Performance estimates are calculated. Real results may vary. Methodology · Submit real data
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