Quick Answer: RX 7700 XT offers 12GB VRAM and starts around $399.99. It delivers approximately 90 tokens/sec on deepseek-ai/DeepSeek-OCR. It typically draws 245W 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 | 89.90 tok/sEstimated Auto-generated benchmark | 2GB |
| ibm-research/PowerMoE-3b | Q4 | 87.60 tok/sEstimated Auto-generated benchmark | 2GB |
| google-t5/t5-3b | Q4 | 87.46 tok/sEstimated Auto-generated benchmark | 2GB |
| Qwen/Qwen2.5-3B | Q4 | 87.31 tok/sEstimated Auto-generated benchmark | 2GB |
| ibm-granite/granite-3.3-2b-instruct | Q4 | 86.63 tok/sEstimated Auto-generated benchmark | 1GB |
| meta-llama/Llama-3.2-3B | Q4 | 86.55 tok/sEstimated Auto-generated benchmark | 2GB |
| facebook/sam3 | Q4 | 85.73 tok/sEstimated Auto-generated benchmark | 1GB |
| google/gemma-3-1b-it | Q4 | 85.24 tok/sEstimated Auto-generated benchmark | 1GB |
| unsloth/Llama-3.2-1B-Instruct | Q4 | 84.38 tok/sEstimated Auto-generated benchmark | 1GB |
| context-labs/meta-llama-Llama-3.2-3B-Instruct-FP16 | Q4 | 84.35 tok/sEstimated Auto-generated benchmark | 2GB |
| allenai/OLMo-2-0425-1B | Q4 | 83.68 tok/sEstimated Auto-generated benchmark | 1GB |
| meta-llama/Llama-3.2-1B-Instruct | Q4 | 83.65 tok/sEstimated Auto-generated benchmark | 1GB |
| google/gemma-2-2b-it | Q4 | 82.36 tok/sEstimated Auto-generated benchmark | 1GB |
| meta-llama/Llama-3.2-3B-Instruct | Q4 | 82.29 tok/sEstimated Auto-generated benchmark | 2GB |
| apple/OpenELM-1_1B-Instruct | Q4 | 82.19 tok/sEstimated Auto-generated benchmark | 1GB |
| deepseek-ai/deepseek-coder-1.3b-instruct | Q4 | 81.98 tok/sEstimated Auto-generated benchmark | 2GB |
| nari-labs/Dia2-2B | Q4 | 80.86 tok/sEstimated Auto-generated benchmark | 2GB |
| Qwen/Qwen2.5-3B-Instruct | Q4 | 79.75 tok/sEstimated Auto-generated benchmark | 2GB |
| google-bert/bert-base-uncased | Q4 | 79.64 tok/sEstimated Auto-generated benchmark | 1GB |
| meta-llama/Llama-Guard-3-1B | Q4 | 78.44 tok/sEstimated Auto-generated benchmark | 1GB |
| unsloth/Llama-3.2-3B-Instruct | Q4 | 78.13 tok/sEstimated Auto-generated benchmark | 2GB |
| LiquidAI/LFM2-1.2B | Q4 | 77.50 tok/sEstimated Auto-generated benchmark | 1GB |
| inference-net/Schematron-3B | Q4 | 77.24 tok/sEstimated Auto-generated benchmark | 2GB |
| unsloth/gemma-3-1b-it | Q4 | 76.25 tok/sEstimated Auto-generated benchmark | 1GB |
| TinyLlama/TinyLlama-1.1B-Chat-v1.0 | Q4 | 75.82 tok/sEstimated Auto-generated benchmark | 1GB |
| meta-llama/Llama-3.2-1B | Q4 | 75.51 tok/sEstimated Auto-generated benchmark | 1GB |
| tencent/HunyuanOCR | Q4 | 75.50 tok/sEstimated Auto-generated benchmark | 1GB |
| bigcode/starcoder2-3b | Q4 | 75.29 tok/sEstimated Auto-generated benchmark | 2GB |
| WeiboAI/VibeThinker-1.5B | Q4 | 74.86 tok/sEstimated Auto-generated benchmark | 1GB |
| google/gemma-2b | Q4 | 74.50 tok/sEstimated Auto-generated benchmark | 1GB |
| google/embeddinggemma-300m | Q4 | 73.98 tok/sEstimated Auto-generated benchmark | 1GB |
| Qwen/Qwen3-8B-FP8 | Q4 | 73.96 tok/sEstimated Auto-generated benchmark | 4GB |
| Qwen/Qwen3-0.6B-Base | Q4 | 73.80 tok/sEstimated Auto-generated benchmark | 3GB |
| Qwen/Qwen3-1.7B | Q4 | 73.76 tok/sEstimated Auto-generated benchmark | 4GB |
| microsoft/Phi-3.5-vision-instruct | Q4 | 73.64 tok/sEstimated Auto-generated benchmark | 4GB |
| HuggingFaceH4/zephyr-7b-beta | Q4 | 73.62 tok/sEstimated Auto-generated benchmark | 4GB |
| deepseek-ai/DeepSeek-R1 | Q4 | 73.33 tok/sEstimated Auto-generated benchmark | 4GB |
| vikhyatk/moondream2 | Q4 | 73.11 tok/sEstimated Auto-generated benchmark | 4GB |
| Qwen/Qwen2.5-7B-Instruct | Q4 | 73.02 tok/sEstimated Auto-generated benchmark | 4GB |
| numind/NuExtract-1.5 | Q4 | 72.80 tok/sEstimated Auto-generated benchmark | 4GB |
| swiss-ai/Apertus-8B-Instruct-2509 | Q4 | 72.70 tok/sEstimated Auto-generated benchmark | 4GB |
| skt/kogpt2-base-v2 | Q4 | 72.64 tok/sEstimated Auto-generated benchmark | 4GB |
| Qwen/Qwen2-7B-Instruct | Q4 | 72.63 tok/sEstimated Auto-generated benchmark | 4GB |
| GSAI-ML/LLaDA-8B-Base | Q4 | 72.54 tok/sEstimated Auto-generated benchmark | 4GB |
| Qwen/Qwen2-0.5B-Instruct | Q4 | 72.53 tok/sEstimated Auto-generated benchmark | 3GB |
| openai-community/gpt2 | Q4 | 72.35 tok/sEstimated Auto-generated benchmark | 4GB |
| Qwen/Qwen3-8B-Base | Q4 | 72.33 tok/sEstimated Auto-generated benchmark | 4GB |
| trl-internal-testing/tiny-LlamaForCausalLM-3.2 | Q4 | 72.29 tok/sEstimated Auto-generated benchmark | 4GB |
| Qwen/Qwen-Image-Edit-2509 | Q4 | 72.08 tok/sEstimated Auto-generated benchmark | 4GB |
| Qwen/Qwen3-Reranker-0.6B | Q4 | 71.73 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 |
|---|---|---|---|---|
| context-labs/meta-llama-Llama-3.2-3B-Instruct-FP16 | Q4 | Fits comfortably | 84.35 tok/sEstimated | 2GB (have 12GB) |
| distilbert/distilgpt2 | Q4 | Fits comfortably | 71.00 tok/sEstimated | 4GB (have 12GB) |
| distilbert/distilgpt2 | Q8 | Fits comfortably | 44.55 tok/sEstimated | 7GB (have 12GB) |
| meta-llama/Meta-Llama-3-8B-Instruct | Q4 | Fits comfortably | 69.70 tok/sEstimated | 4GB (have 12GB) |
| meta-llama/Meta-Llama-3-8B-Instruct | Q8 | Fits comfortably | 42.57 tok/sEstimated | 9GB (have 12GB) |
| meta-llama/Meta-Llama-3-8B-Instruct | FP16 | Not supported | 23.25 tok/sEstimated | 17GB (have 12GB) |
| Qwen/Qwen2.5-1.5B | Q4 | Fits comfortably | 64.14 tok/sEstimated | 3GB (have 12GB) |
| Qwen/Qwen2.5-1.5B | Q8 | Fits comfortably | 45.67 tok/sEstimated | 5GB (have 12GB) |
| unsloth/Meta-Llama-3.1-8B-Instruct-bnb-4bit | Q4 | Fits comfortably | 69.59 tok/sEstimated | 4GB (have 12GB) |
| zai-org/GLM-4.6-FP8 | Q8 | Fits comfortably | 44.46 tok/sEstimated | 7GB (have 12GB) |
| Qwen/Qwen2.5-32B-Instruct | Q8 | Not supported | 15.36 tok/sEstimated | 33GB (have 12GB) |
| Qwen/Qwen2.5-32B-Instruct | FP16 | Not supported | 8.22 tok/sEstimated | 66GB (have 12GB) |
| mistralai/Mistral-7B-v0.1 | Q4 | Fits comfortably | 62.48 tok/sEstimated | 4GB (have 12GB) |
| HuggingFaceTB/SmolLM-135M | Q8 | Fits comfortably | 48.75 tok/sEstimated | 7GB (have 12GB) |
| HuggingFaceTB/SmolLM-135M | FP16 | Not supported | 23.14 tok/sEstimated | 15GB (have 12GB) |
| trl-internal-testing/tiny-random-LlamaForCausalLM | FP16 | Not supported | 23.73 tok/sEstimated | 15GB (have 12GB) |
| Qwen/Qwen3-14B-Base | Q8 | Not supported | 37.35 tok/sEstimated | 14GB (have 12GB) |
| Qwen/Qwen3-14B-Base | FP16 | Not supported | 20.49 tok/sEstimated | 29GB (have 12GB) |
| meta-llama/Llama-2-7b-chat-hf | Q4 | Fits comfortably | 65.29 tok/sEstimated | 4GB (have 12GB) |
| unsloth/DeepSeek-R1-Distill-Qwen-32B-bnb-4bit | FP16 | Not supported | 8.39 tok/sEstimated | 66GB (have 12GB) |
| RedHatAI/Meta-Llama-3.1-70B-Instruct-quantized.w4a16 | FP16 | Not supported | 9.07 tok/sEstimated | 137GB (have 12GB) |
| OpenPipe/Qwen3-14B-Instruct | Q4 | Fits comfortably | 49.80 tok/sEstimated | 7GB (have 12GB) |
| numind/NuExtract-1.5 | FP16 | Not supported | 25.51 tok/sEstimated | 15GB (have 12GB) |
| Qwen/Qwen2.5-Coder-7B-Instruct | Q4 | Fits comfortably | 70.25 tok/sEstimated | 4GB (have 12GB) |
| Qwen/Qwen2.5-Coder-7B-Instruct | FP16 | Not supported | 27.31 tok/sEstimated | 15GB (have 12GB) |
| Qwen/Qwen3-4B-Thinking-2507 | Q4 | Fits comfortably | 63.43 tok/sEstimated | 2GB (have 12GB) |
| ibm-granite/granite-docling-258M | Q8 | Fits comfortably | 45.40 tok/sEstimated | 7GB (have 12GB) |
| ibm-granite/granite-docling-258M | FP16 | Not supported | 26.45 tok/sEstimated | 15GB (have 12GB) |
| bigcode/starcoder2-3b | FP16 | Fits comfortably | 31.91 tok/sEstimated | 6GB (have 12GB) |
| unsloth/gemma-3-1b-it | Q8 | Fits comfortably | 53.13 tok/sEstimated | 1GB (have 12GB) |
| unsloth/gemma-3-1b-it | FP16 | Fits comfortably | 33.37 tok/sEstimated | 2GB (have 12GB) |
| nvidia/NVIDIA-Nemotron-Nano-9B-v2 | FP16 | Not supported | 20.72 tok/sEstimated | 19GB (have 12GB) |
| openai/gpt-oss-safeguard-20b | Q8 | Not supported | 26.07 tok/sEstimated | 22GB (have 12GB) |
| openai/gpt-oss-safeguard-20b | FP16 | Not supported | 15.13 tok/sEstimated | 44GB (have 12GB) |
| MiniMaxAI/MiniMax-M1-40k | Q4 | Not supported | 8.88 tok/sEstimated | 255GB (have 12GB) |
| MiniMaxAI/MiniMax-M1-40k | Q8 | Not supported | 6.21 tok/sEstimated | 510GB (have 12GB) |
| mistralai/Mistral-Large-3-675B-Instruct-2512 | Q4 | Not supported | 7.46 tok/sEstimated | 378GB (have 12GB) |
| mistralai/Mistral-Large-3-675B-Instruct-2512 | Q8 | Not supported | 5.43 tok/sEstimated | 755GB (have 12GB) |
| mistralai/Mistral-Large-3-675B-Instruct-2512 | FP16 | Not supported | 2.86 tok/sEstimated | 1509GB (have 12GB) |
| EssentialAI/rnj-1 | Q4 | Fits comfortably | 49.63 tok/sEstimated | 5GB (have 12GB) |
| EssentialAI/rnj-1 | Q8 | Fits comfortably | 38.56 tok/sEstimated | 10GB (have 12GB) |
| EssentialAI/rnj-1 | FP16 | Not supported | 19.77 tok/sEstimated | 19GB (have 12GB) |
| Qwen/Qwen2.5-3B-Instruct | FP16 | Fits comfortably | 33.74 tok/sEstimated | 6GB (have 12GB) |
| bigscience/bloomz-560m | Q4 | Fits comfortably | 67.53 tok/sEstimated | 4GB (have 12GB) |
| bigscience/bloomz-560m | Q8 | Fits comfortably | 48.82 tok/sEstimated | 7GB (have 12GB) |
| context-labs/meta-llama-Llama-3.2-3B-Instruct-FP16 | FP16 | Fits comfortably | 30.24 tok/sEstimated | 6GB (have 12GB) |
| mistralai/Mistral-7B-Instruct-v0.2 | Q4 | Fits comfortably | 63.53 tok/sEstimated | 4GB (have 12GB) |
| mistralai/Mistral-7B-Instruct-v0.2 | Q8 | Fits comfortably | 50.28 tok/sEstimated | 7GB (have 12GB) |
| mistralai/Mistral-7B-Instruct-v0.2 | FP16 | Not supported | 26.66 tok/sEstimated | 15GB (have 12GB) |
| bigscience/bloomz-560m | FP16 | Not supported | 27.40 tok/sEstimated | 15GB (have 12GB) |
Note: Performance estimates are calculated. Real results may vary. Methodology · Submit real data
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