Llama 3.3 70B — B200 vs MI355X
Head-to-head AI inference benchmark comparison of B200 (NVIDIA Blackwell) and MI355X (AMD CDNA 4) on Llama 3.3 70B. Latency, throughput, and cost across LLM workloads. Use the chart controls below to switch sequences, precisions, and metrics — same interactions as the main inference chart.
Throughput at 54 tok/s/user on Llama 3.3 70B: B200 hits 6408 tok/s/GPU, MI355X hits 2216. Per-million costs land at $0.08 and $0.18 respectively. B200 is 115% cheaper per token; B200 delivers 189% more tok/s/GPU.
B200 / MI355X on Llama 3.3 70B at 75 tok/s/user: 4504 / 1536 tok/s/GPU, $0.12 / $0.26 per million tokens. B200 is 117% cheaper per token; B200 delivers 193% more tok/s/GPU.
Toward the upper edge of the 34–116 tok/s/user interactivity band, at 96 tok/s/user on Llama 3.3 70B: B200 runs 3333 tok/s/GPU at $0.16/M tokens, MI355X runs 750 at $0.55/M. B200 is 242% cheaper per token; B200 delivers 344% more tok/s/GPU. (Numbers reflect the default 1k/1k · fp8 selection for this URL — table and chart below update if you change sequence, precision, or model in the controls.)
| Metric | Interactivity (tok/s/user) | Interactivity (tok/s/user) | Interactivity (tok/s/user) |
|---|---|---|---|
| Throughput (tok/s/gpu) | B200:6407.7MI355X:2215.8 | B200:4503.7MI355X:1536.1 | B200:3333.0MI355X:749.9 |
| Cost ($/M tok) | B200:$0.085MI355X:$0.182 | B200:$0.120MI355X:$0.261 | B200:$0.160MI355X:$0.548 |
| tok/s/MW | B200:2952854MI355X:836163 | B200:2075451MI355X:579660 | B200:1535957MI355X:282963 |
| Concurrency | B200:~128MI355X:~50 | B200:~128MI355X:~46 | B200:~77MI355X:~16 |
Inference Performance
Inference performance metrics across different models, hardware configurations, and serving parameters.