GLM 5.3 744B · Chip comparison

GLM 5.3 744B — B200 vs GB300 NVL72

Head-to-head AI inference benchmark comparison of B200 (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 — 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

Setting 143 tok/s/user as the target on GLM 5.3 744B, B200 produces 7345 tok/s/chip ($0.07 per million tokens) and GB300 NVL72 produces 14234 ($0.05). GB300 NVL72 is 45% cheaper per token; GB300 NVL72 delivers 94% more tok/s/chip.

At 194 tok/s/user interactivity on GLM 5.3 744B, B200 delivers 5104 tok/s/chip at $0.09 per million tokens; GB300 NVL72 delivers 9375 tok/s/chip at $0.07. GB300 NVL72 is 38% cheaper per token; GB300 NVL72 delivers 84% more tok/s/chip at this point.

B200 posts 4129 tok/s/chip for $0.12 per million tokens at 246 tok/s/user on GLM 5.3 744B; GB300 NVL72 posts 6035 tok/s/chip for $0.11. GB300 NVL72 is 9% cheaper per token; GB300 NVL72 delivers 46% 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.)

View performance-per-dollar view →

Interpolated from real benchmark data. Edit target interactivity values below to compare at different operating points.
Metric
Interactivity (tok/s/user)
Interactivity (tok/s/user)
Interactivity (tok/s/user)
Throughput (tok/s/chip)
B200:7345.2GB300 NVL72:14233.7
B200:5104.0GB300 NVL72:9375.1
B200:4128.9GB300 NVL72:6034.6
Cost ($/M tok)
B200:$0.065GB300 NVL72:$0.045
B200:$0.094GB300 NVL72:$0.068
B200:$0.116GB300 NVL72:$0.106
tok/s/MW
B200:4295464GB300 NVL72:6714010
B200:2984785GB300 NVL72:4422209
B200:2414588GB300 NVL72:2846505
Concurrency
B200:~11GB300 NVL72:~56
B200:~6GB300 NVL72:~21
B200:~4GB300 NVL72:~16

Inference Performance

Agentic inference metrics from the AgentX scenario and fixed-sequence inference metrics across models, hardware configurations, and serving parameters.