Head-to-head AI inference benchmark comparison of B300 (NVIDIA Blackwell) and GB300 NVL72 (NVIDIA Blackwell) on GLM 5.3 744B. 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
At 131 tok/s/user interactivity on GLM 5.3 744B, B300 delivers 12379 tok/s/chip at $0.05 per million tokens; GB300 NVL72 delivers 17084 tok/s/chip at $0.04. GB300 NVL72 is 35% cheaper per token; GB300 NVL72 delivers 38% more tok/s/chip at this point.
B300 posts 7458 tok/s/chip for $0.08 per million tokens at 178 tok/s/user on GLM 5.3 744B; GB300 NVL72 posts 9392 tok/s/chip for $0.07. GB300 NVL72 is 23% cheaper per token; GB300 NVL72 delivers 26% more tok/s/chip.
Throughput at 226 tok/s/user on GLM 5.3 744B: B300 hits 5308 tok/s/chip, GB300 NVL72 hits 5472. Per-million costs land at $0.12 and $0.12 respectively. Cost per token is essentially tied; GB300 NVL72 delivers 3% more tok/s/chip. (Numbers reflect the default agentic-traces Β· fp4 selection for this URL β table and chart below update if you change sequence, precision, or model in the controls.)
| Metric | Interactivity (tok/s/user) | Interactivity (tok/s/user) | Interactivity (tok/s/user) |
|---|---|---|---|
| Throughput (tok/s/chip) | B300:12379.0GB300 NVL72:17084.2 | B300:7457.5GB300 NVL72:9392.1 | B300:5307.6GB300 NVL72:5472.2 |
| Cost ($/M tok) | B300:$0.051GB300 NVL72:$0.038 | B300:$0.084GB300 NVL72:$0.068 | B300:$0.118GB300 NVL72:$0.117 |
| tok/s/MW | B300:6515263GB300 NVL72:8058599 | B300:3925003GB300 NVL72:4430250 | B300:2793471GB300 NVL72:2581216 |
| Concurrency | B300:~15GB300 NVL72:~48 | B300:~10GB300 NVL72:~47 | B300:~6GB300 NVL72:~19 |
Agentic inference metrics from the AgentX scenario and fixed-sequence inference metrics across models, hardware configurations, and serving parameters.
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