Head-to-head AI inference benchmark comparison of B200 (NVIDIA Blackwell) and H100 (NVIDIA Hopper) on DeepSeek V4.1 Flash 552B. 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.
AgentX replays real coding-agent sessions rather than fixed-length prompts, so context grows turn over turn and most of each request is served from cache instead of being recomputed. That turns the comparison into a systems question: KV transfer between nodes, prefix-aware routing, and cache capacity all move the curve alongside raw chip throughput. Fixed-sequence workloads stay the clean baseline for kernel and silicon performance, so the two scenarios answer different questions about the same hardware. Learn more about AgentX →
B200 / H100 on DeepSeek V4.1 Flash 552B at 226 tok/s/user: 19048 / 2507 tok/s/chip, $0.03 / $0.13 per million tokens. B200 is 414% cheaper per token; B200 delivers 660% more tok/s/chip.
Around the middle of the 210–275 tok/s/user interactivity band, at 243 tok/s/user on DeepSeek V4.1 Flash 552B: B200 runs 16941 tok/s/chip at $0.03/M tokens, H100 runs 2481 at $0.13/M. B200 is 362% cheaper per token; B200 delivers 583% more tok/s/chip.
Setting 259 tok/s/user as the target on DeepSeek V4.1 Flash 552B, B200 produces 14961 tok/s/chip ($0.03 per million tokens) and H100 produces 2466 ($0.13). B200 is 310% cheaper per token; B200 delivers 507% more tok/s/chip. (Numbers reflect the default agentic-traces · fp4 selection for this URL — table and chart below update if you change sequence, precision, or model in the controls.)
| Metric | Interactivity (tok/s/user) | Interactivity (tok/s/user) | Interactivity (tok/s/user) |
|---|---|---|---|
| Throughput (tok/s/chip) | B200:19048.3H100:2507.3 | B200:16941.4H100:2481.2 | B200:14960.9H100:2465.9 |
| Cost ($/M tok) | B200:$0.025H100:$0.130 | B200:$0.028H100:$0.131 | B200:$0.032H100:$0.132 |
| tok/s/MW | B200:11139378H100:1830166 | B200:9907230H100:1811072 | B200:8749089H100:1799936 |
| Concurrency | B200:~10H100:~2 | B200:~9H100:~1 | B200:~8H100:~1 |
Agentic inference metrics from the AgentX scenario and fixed-sequence inference metrics across models, hardware configurations, and serving parameters.
No measurements to plot for this selection. Review the benchmark controls above or adjust quick filters.
