Head-to-head AI inference benchmark comparison of B200 (NVIDIA Blackwell) and GB300 NVL72 (NVIDIA Blackwell) on DeepSeek V4.1 Flash 552B. Latency, throughput, and cost across LLM workloads. Use the chart controls below to switch sequences, precisions, and metrics β 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 β
Setting 183 tok/s/user as the target on DeepSeek V4.1 Flash 552B, B200 produces 116612 tok/s/chip ($0.00 per million tokens) and GB300 NVL72 produces 670347 ($0.00). GB300 NVL72 is 331% cheaper per token; GB300 NVL72 delivers 475% more tok/s/chip.
At 317 tok/s/user interactivity on DeepSeek V4.1 Flash 552B, B200 delivers 29571 tok/s/chip at $0.02 per million tokens; GB300 NVL72 delivers 29506 tok/s/chip at $0.02. B200 is 34% cheaper per token; throughput per chip is essentially tied at this point.
B200 posts 11076 tok/s/chip for $0.04 per million tokens at 451 tok/s/user on DeepSeek V4.1 Flash 552B; GB300 NVL72 posts 11829 tok/s/chip for $0.05. B200 is 25% cheaper per token; GB300 NVL72 delivers 7% more tok/s/chip. (Numbers reflect the default agentic-traces Β· fp4 selection for this URL β table and chart below update if you change sequence, precision, or model in the controls.)
| Metric | Interactivity (tok/s/user) | Interactivity (tok/s/user) | Interactivity (tok/s/user) |
|---|---|---|---|
| Throughput (tok/s/chip) | B200:116611.9GB300 NVL72:670346.5 | B200:29571.5GB300 NVL72:29505.6 | B200:11076.1GB300 NVL72:11829.3 |
| Cost ($/M tok) | B200:$0.004GB300 NVL72:$0.001 | B200:$0.016GB300 NVL72:$0.022 | B200:$0.043GB300 NVL72:$0.054 |
| tok/s/MW | B200:68194117GB300 NVL72:316201188 | B200:17293268GB300 NVL72:13917753 | B200:6477256GB300 NVL72:5579878 |
| Concurrency | B200:~32GB300 NVL72:~3423 | B200:~16GB300 NVL72:~16 | B200:~2GB300 NVL72:~5 |
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.
