Quick Answer: AMD Instinct MI300X offers 192GB VRAM and starts around current market pricing. It delivers approximately 1041 tokens/sec on deepseek-ai/DeepSeek-OCR-2. It typically draws 750W 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.
With 192GB VRAM, AMD Instinct MI300X can run models up to approximately 480B parameters using 4-bit quantization. This handles most popular models including Llama 3 70B, Mistral 7B, and larger.
Consider H100 or MI300X — Maximum VRAM for enterprise workloads.
| Model | Quantization | Tokens/sec | VRAM used |
|---|---|---|---|
| deepseek-ai/DeepSeek-OCR-2 | Q4 | 1041.36 tok/sEstimated Auto-generated benchmark | 2GB |
| inference-net/Schematron-3B | Q4 | 1004.28 tok/sEstimated Auto-generated benchmark | 2GB |
| ibm-granite/granite-3.3-2b-instruct | Q4 | 983.71 tok/sEstimated Auto-generated benchmark | 1GB |
| meta-llama/Llama-3.2-1B | Q4 | 980.52 tok/sEstimated Auto-generated benchmark | 1GB |
| google/gemma-2-2b-it | Q4 | 979.74 tok/sEstimated Auto-generated benchmark | 1GB |
| meta-llama/Llama-3.2-3B | Q4 | 979.20 tok/sEstimated Auto-generated benchmark | 2GB |
| nineninesix/kani-tts-2-en | Q4 | 974.88 tok/sEstimated Auto-generated benchmark | 1GB |
| bigcode/starcoder2-3b | Q4 | 974.08 tok/sEstimated Auto-generated benchmark | 2GB |
| google-bert/bert-base-uncased | Q4 | 973.98 tok/sEstimated Auto-generated benchmark | 1GB |
| google/embeddinggemma-300m | Q4 | 970.37 tok/sEstimated Auto-generated benchmark | 1GB |
| TinyLlama/TinyLlama-1.1B-Chat-v1.0 | Q4 | 963.68 tok/sEstimated Auto-generated benchmark | 1GB |
| meta-llama/Llama-3.2-1B-Instruct | Q4 | 961.12 tok/sEstimated Auto-generated benchmark | 1GB |
| allenai/OLMo-2-0425-1B | Q4 | 949.53 tok/sEstimated Auto-generated benchmark | 1GB |
| LiquidAI/LFM2-1.2B | Q4 | 943.86 tok/sEstimated Auto-generated benchmark | 1GB |
| facebook/sam3 | Q4 | 943.51 tok/sEstimated Auto-generated benchmark | 1GB |
| context-labs/meta-llama-Llama-3.2-3B-Instruct-FP16 | Q4 | 923.44 tok/sEstimated Auto-generated benchmark | 2GB |
| unsloth/Llama-3.2-1B-Instruct | Q4 | 922.45 tok/sEstimated Auto-generated benchmark | 1GB |
| nari-labs/Dia2-2B | Q4 | 919.40 tok/sEstimated Auto-generated benchmark | 2GB |
| Qwen/Qwen3-ASR-1.7B | Q4 | 912.25 tok/sEstimated Auto-generated benchmark | 2GB |
| deepseek-ai/DeepSeek-OCR | Q4 | 896.80 tok/sEstimated Auto-generated benchmark | 2GB |
| tencent/HunyuanOCR | Q4 | 891.05 tok/sEstimated Auto-generated benchmark | 1GB |
| meta-llama/Llama-3.2-3B-Instruct | Q4 | 885.01 tok/sEstimated Auto-generated benchmark | 2GB |
| apple/OpenELM-1_1B-Instruct | Q4 | 881.60 tok/sEstimated Auto-generated benchmark | 1GB |
| google-t5/t5-3b | Q4 | 880.75 tok/sEstimated Auto-generated benchmark | 2GB |
| ibm-research/PowerMoE-3b | Q4 | 876.32 tok/sEstimated Auto-generated benchmark | 2GB |
| deepseek-ai/deepseek-coder-1.3b-instruct | Q4 | 872.32 tok/sEstimated Auto-generated benchmark | 2GB |
| WeiboAI/VibeThinker-1.5B | Q4 | 867.94 tok/sEstimated Auto-generated benchmark | 1GB |
| Qwen/Qwen2.5-3B | Q4 | 865.21 tok/sEstimated Auto-generated benchmark | 2GB |
| google/gemma-2b | Q4 | 863.23 tok/sEstimated Auto-generated benchmark | 1GB |
| google/gemma-3-1b-it | Q4 | 862.96 tok/sEstimated Auto-generated benchmark | 1GB |
| meta-llama/Llama-Guard-3-1B | Q4 | 858.24 tok/sEstimated Auto-generated benchmark | 1GB |
| unsloth/Llama-3.2-3B-Instruct | Q4 | 855.71 tok/sEstimated Auto-generated benchmark | 2GB |
| Qwen/Qwen2.5-3B-Instruct | Q4 | 852.13 tok/sEstimated Auto-generated benchmark | 2GB |
| moonshotai/Kimi-K2.5 | Q4 | 839.51 tok/sEstimated Auto-generated benchmark | 4GB |
| ibm-granite/granite-3.3-8b-instruct | Q4 | 838.91 tok/sEstimated Auto-generated benchmark | 4GB |
| IlyaGusev/saiga_llama3_8b | Q4 | 837.38 tok/sEstimated Auto-generated benchmark | 4GB |
| Qwen/Qwen2-0.5B | Q4 | 837.11 tok/sEstimated Auto-generated benchmark | 3GB |
| mistralai/Mistral-7B-Instruct-v0.2 | Q4 | 833.81 tok/sEstimated Auto-generated benchmark | 4GB |
| openai-community/gpt2-xl | Q4 | 833.41 tok/sEstimated Auto-generated benchmark | 4GB |
| Qwen/Qwen2.5-7B-Instruct | Q4 | 830.07 tok/sEstimated Auto-generated benchmark | 4GB |
| Alibaba-NLP/gte-Qwen2-1.5B-instruct | Q4 | 829.94 tok/sEstimated Auto-generated benchmark | 3GB |
| unsloth/gemma-3-1b-it | Q4 | 828.26 tok/sEstimated Auto-generated benchmark | 1GB |
| Qwen/Qwen2.5-0.5B-Instruct | Q4 | 826.46 tok/sEstimated Auto-generated benchmark | 3GB |
| Qwen/Qwen3-Reranker-0.6B | Q4 | 826.35 tok/sEstimated Auto-generated benchmark | 3GB |
| lmstudio-community/Qwen3-4B-Thinking-2507-MLX-8bit | Q4 | 826.04 tok/sEstimated Auto-generated benchmark | 2GB |
| deepseek-ai/DeepSeek-V3.1 | Q4 | 825.98 tok/sEstimated Auto-generated benchmark | 4GB |
| ibm-granite/granite-docling-258M | Q4 | 825.28 tok/sEstimated Auto-generated benchmark | 4GB |
| rednote-hilab/dots.ocr | Q4 | 821.13 tok/sEstimated Auto-generated benchmark | 4GB |
| HuggingFaceH4/zephyr-7b-beta | Q4 | 820.64 tok/sEstimated Auto-generated benchmark | 4GB |
| bigscience/bloomz-560m | Q4 | 818.71 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 |
|---|---|---|---|---|
| openai-community/gpt2 | Q8 | Fits comfortably | 541.37 tok/sEstimated | 7GB (have 192GB) |
| openai-community/gpt2 | FP16 | Fits comfortably | 287.01 tok/sEstimated | 15GB (have 192GB) |
| Qwen/Qwen2.5-7B-Instruct | Q4 | Fits comfortably | 715.55 tok/sEstimated | 4GB (have 192GB) |
| Qwen/Qwen2.5-7B-Instruct | Q8 | Fits comfortably | 551.61 tok/sEstimated | 7GB (have 192GB) |
| Qwen/Qwen2.5-7B-Instruct | FP16 | Fits comfortably | 299.74 tok/sEstimated | 15GB (have 192GB) |
| Qwen/Qwen3-0.6B | Q4 | Fits comfortably | 755.55 tok/sEstimated | 3GB (have 192GB) |
| Qwen/Qwen3-0.6B | Q8 | Fits comfortably | 527.18 tok/sEstimated | 6GB (have 192GB) |
| Qwen/Qwen3-0.6B | FP16 | Fits comfortably | 285.87 tok/sEstimated | 13GB (have 192GB) |
| Gensyn/Qwen2.5-0.5B-Instruct | Q4 | Fits comfortably | 715.86 tok/sEstimated | 3GB (have 192GB) |
| Gensyn/Qwen2.5-0.5B-Instruct | Q8 | Fits comfortably | 557.51 tok/sEstimated | 5GB (have 192GB) |
| Gensyn/Qwen2.5-0.5B-Instruct | FP16 | Fits comfortably | 311.62 tok/sEstimated | 11GB (have 192GB) |
| meta-llama/Llama-3.1-8B-Instruct | Q4 | Fits comfortably | 710.29 tok/sEstimated | 4GB (have 192GB) |
| meta-llama/Llama-3.1-8B-Instruct | Q8 | Fits comfortably | 570.56 tok/sEstimated | 9GB (have 192GB) |
| meta-llama/Llama-3.1-8B-Instruct | FP16 | Fits comfortably | 293.94 tok/sEstimated | 17GB (have 192GB) |
| dphn/dolphin-2.9.1-yi-1.5-34b | Q4 | Fits comfortably | 276.56 tok/sEstimated | 17GB (have 192GB) |
| dphn/dolphin-2.9.1-yi-1.5-34b | Q8 | Fits comfortably | 169.78 tok/sEstimated | 35GB (have 192GB) |
| dphn/dolphin-2.9.1-yi-1.5-34b | FP16 | Fits comfortably | 98.23 tok/sEstimated | 70GB (have 192GB) |
| openai/gpt-oss-20b | Q4 | Fits comfortably | 413.08 tok/sEstimated | 10GB (have 192GB) |
| openai/gpt-oss-20b | Q8 | Fits comfortably | 292.98 tok/sEstimated | 20GB (have 192GB) |
| openai/gpt-oss-20b | FP16 | Fits comfortably | 153.98 tok/sEstimated | 41GB (have 192GB) |
| google/gemma-3-1b-it | Q4 | Fits comfortably | 862.96 tok/sEstimated | 1GB (have 192GB) |
| google/gemma-3-1b-it | Q8 | Fits comfortably | 623.48 tok/sEstimated | 1GB (have 192GB) |
| google/gemma-3-1b-it | FP16 | Fits comfortably | 345.84 tok/sEstimated | 2GB (have 192GB) |
| Qwen/Qwen3-Embedding-0.6B | Q4 | Fits comfortably | 775.49 tok/sEstimated | 3GB (have 192GB) |
| Qwen/Qwen3-Embedding-0.6B | Q8 | Fits comfortably | 540.88 tok/sEstimated | 6GB (have 192GB) |
| Qwen/Qwen3-Embedding-0.6B | FP16 | Fits comfortably | 267.22 tok/sEstimated | 13GB (have 192GB) |
| Qwen/Qwen2.5-1.5B-Instruct | Q4 | Fits comfortably | 755.78 tok/sEstimated | 3GB (have 192GB) |
| Qwen/Qwen2.5-1.5B-Instruct | Q8 | Fits comfortably | 488.17 tok/sEstimated | 5GB (have 192GB) |
| Qwen/Qwen2.5-1.5B-Instruct | FP16 | Fits comfortably | 297.38 tok/sEstimated | 11GB (have 192GB) |
| facebook/opt-125m | Q4 | Fits comfortably | 724.47 tok/sEstimated | 4GB (have 192GB) |
| facebook/opt-125m | Q8 | Fits comfortably | 491.52 tok/sEstimated | 7GB (have 192GB) |
| facebook/opt-125m | FP16 | Fits comfortably | 289.69 tok/sEstimated | 15GB (have 192GB) |
| TinyLlama/TinyLlama-1.1B-Chat-v1.0 | Q4 | Fits comfortably | 963.68 tok/sEstimated | 1GB (have 192GB) |
| TinyLlama/TinyLlama-1.1B-Chat-v1.0 | Q8 | Fits comfortably | 619.59 tok/sEstimated | 1GB (have 192GB) |
| TinyLlama/TinyLlama-1.1B-Chat-v1.0 | FP16 | Fits comfortably | 330.09 tok/sEstimated | 2GB (have 192GB) |
| trl-internal-testing/tiny-Qwen2ForCausalLM-2.5 | Q4 | Fits comfortably | 810.39 tok/sEstimated | 4GB (have 192GB) |
| trl-internal-testing/tiny-Qwen2ForCausalLM-2.5 | Q8 | Fits comfortably | 545.98 tok/sEstimated | 7GB (have 192GB) |
| trl-internal-testing/tiny-Qwen2ForCausalLM-2.5 | FP16 | Fits comfortably | 271.25 tok/sEstimated | 15GB (have 192GB) |
| Qwen/Qwen3-4B-Instruct-2507 | Q4 | Fits comfortably | 816.71 tok/sEstimated | 2GB (have 192GB) |
| Qwen/Qwen3-4B-Instruct-2507 | Q8 | Fits comfortably | 540.90 tok/sEstimated | 4GB (have 192GB) |
| Qwen/Qwen3-4B-Instruct-2507 | FP16 | Fits comfortably | 283.13 tok/sEstimated | 9GB (have 192GB) |
| meta-llama/Llama-3.2-1B-Instruct | Q4 | Fits comfortably | 961.12 tok/sEstimated | 1GB (have 192GB) |
| meta-llama/Llama-3.2-1B-Instruct | Q8 | Fits comfortably | 621.23 tok/sEstimated | 1GB (have 192GB) |
| meta-llama/Llama-3.2-1B-Instruct | FP16 | Fits comfortably | 329.34 tok/sEstimated | 2GB (have 192GB) |
| openai/gpt-oss-120b | Q4 | Fits comfortably | 144.31 tok/sEstimated | 59GB (have 192GB) |
| openai/gpt-oss-120b | Q8 | Fits comfortably | 112.06 tok/sEstimated | 117GB (have 192GB) |
| openai/gpt-oss-120b | FP16 | Not supported | 59.71 tok/sEstimated | 235GB (have 192GB) |
| Qwen/Qwen2.5-3B-Instruct | Q4 | Fits comfortably | 852.13 tok/sEstimated | 2GB (have 192GB) |
| Qwen/Qwen2.5-3B-Instruct | Q8 | Fits comfortably | 606.35 tok/sEstimated | 3GB (have 192GB) |
| openai-community/gpt2 | Q4 | Fits comfortably | 774.98 tok/sEstimated | 4GB (have 192GB) |
Note: Performance estimates are calculated. Real results may vary. Methodology · Submit real data
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