Head-to-head AI inference benchmark comparison of B300 (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
Near the low end of the 41β574 tok/s/user interactivity band, at 174 tok/s/user on DeepSeek V4.1 Flash 552B: B300 runs 113362 tok/s/chip at $0.01/M tokens, GB300 NVL72 runs 694569 at $0.00/M. GB300 NVL72 is 499% cheaper per token; GB300 NVL72 delivers 513% more tok/s/chip.
Setting 308 tok/s/user as the target on DeepSeek V4.1 Flash 552B, B300 produces 28906 tok/s/chip ($0.02 per million tokens) and GB300 NVL72 produces 29889 ($0.02). GB300 NVL72 is 1% cheaper per token; GB300 NVL72 delivers 3% more tok/s/chip.
At 441 tok/s/user interactivity on DeepSeek V4.1 Flash 552B, B300 delivers 11439 tok/s/chip at $0.05 per million tokens; GB300 NVL72 delivers 13381 tok/s/chip at $0.05. GB300 NVL72 is 14% cheaper per token; GB300 NVL72 delivers 17% more tok/s/chip at this point. (Numbers reflect the default agentic-traces Β· fp4 selection for this URL β table and chart below update if you change sequence, precision, or model in the controls.)
| Metric | Interactivity (tok/s/user) | Interactivity (tok/s/user) | Interactivity (tok/s/user) |
|---|---|---|---|
| Throughput (tok/s/chip) | B300:113362.3GB300 NVL72:694568.6 | B300:28906.4GB300 NVL72:29888.7 | B300:11439.1GB300 NVL72:13380.5 |
| Cost ($/M tok) | B300:$0.006GB300 NVL72:$0.001 | B300:$0.022GB300 NVL72:$0.021 | B300:$0.055GB300 NVL72:$0.048 |
| tok/s/MW | B300:59664378GB300 NVL72:327626719 | B300:15213917GB300 NVL72:14098438 | B300:6020566GB300 NVL72:6311577 |
| Concurrency | B300:~29GB300 NVL72:~3674 | B300:~16GB300 NVL72:~14 | B300:~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.
