DeepSeek R1 — H200 vs Jalapeño
Head-to-head AI inference benchmark comparison of H200 (NVIDIA Hopper) and Jalapeño (OpenAI Jalapeño) on DeepSeek R1. 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.
H200 hits 1499 tok/s/chip for $0.23 per million tokens at 51 tok/s/user on DeepSeek R1. No Jalapeño data at this operating point.
H200: 785 tok/s/chip, $0.43 per million tokens at 90 tok/s/user on DeepSeek R1. Jalapeño is unmeasured here.
At 129 tok/s/user on DeepSeek R1, H200 delivers 523 tok/s/chip at $0.65 per million tokens; Jalapeño hasn't been benchmarked at this target. (Numbers reflect the default 8k/1k · fp8 selection for this URL — table and chart below update if you change sequence, precision, or model in the controls.)
| Metric | Interactivity (tok/s/user) | Interactivity (tok/s/user) | Interactivity (tok/s/user) |
|---|---|---|---|
| Throughput (tok/s/chip) | H200:1499.5Jalapeño:— | H200:785.4Jalapeño:— | H200:523.1Jalapeño:— |
| Cost ($/M tok) | H200:$0.226Jalapeño:— | H200:$0.431Jalapeño:— | H200:$0.648Jalapeño:— |
| tok/s/MW | H200:1094512Jalapeño:— | H200:573273Jalapeño:— | H200:381794Jalapeño:— |
| Concurrency | H200:~54Jalapeño:— | H200:~8Jalapeño:— | H200:~4Jalapeño:— |