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 148 tok/s/user interactivity on GLM 5.3 744B, B300 delivers 14200 tok/s/chip at $0.04 per million tokens; GB300 NVL72 delivers 16193 tok/s/chip at $0.04. GB300 NVL72 is 12% cheaper per token; GB300 NVL72 delivers 14% more tok/s/chip at this point.
B300 posts 7252 tok/s/chip for $0.09 per million tokens at 205 tok/s/user on GLM 5.3 744B; GB300 NVL72 posts 10438 tok/s/chip for $0.06. GB300 NVL72 is 41% cheaper per token; GB300 NVL72 delivers 44% more tok/s/chip.
Throughput at 262 tok/s/user on GLM 5.3 744B: B300 hits 5497 tok/s/chip, GB300 NVL72 hits 4232. Per-million costs land at $0.11 and $0.15 respectively. B300 is 33% cheaper per token; B300 delivers 30% more tok/s/chip. (Numbers reflect the default agentic-traces Β· fp4 selection for this URL β table and chart below update if you change sequence, precision, or model in the controls.)
| Metric | Interactivity (tok/s/user) | Interactivity (tok/s/user) | Interactivity (tok/s/user) |
|---|---|---|---|
| Throughput (tok/s/chip) | B300:14199.5GB300 NVL72:16193.4 | B300:7252.0GB300 NVL72:10437.6 | B300:5496.8GB300 NVL72:4231.7 |
| Cost ($/M tok) | B300:$0.044GB300 NVL72:$0.040 | B300:$0.087GB300 NVL72:$0.061 | B300:$0.114GB300 NVL72:$0.152 |
| tok/s/MW | B300:7473441GB300 NVL72:7638404 | B300:3816865GB300 NVL72:4923420 | B300:2893034GB300 NVL72:1996075 |
| Concurrency | B300:~9GB300 NVL72:~55 | B300:~8GB300 NVL72:~20 | B300:~1GB300 NVL72:~4 |
Agentic inference metrics from the AgentX scenario and fixed-sequence inference metrics across models, hardware configurations, and serving parameters.
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