Head-to-head AI inference benchmark comparison of B200 (NVIDIA Blackwell) and B300 (NVIDIA Blackwell) on Qwen 3.8 Flash Next 176B-A6B. 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 85 tok/s/user as the target on Qwen 3.8 Flash Next 176B-A6B, B200 produces 62181 tok/s/chip ($0.01 per million tokens) and B300 produces 80846 ($0.01). Cost per token is essentially tied; B300 delivers 30% more tok/s/chip.
At 117 tok/s/user interactivity on Qwen 3.8 Flash Next 176B-A6B, B200 delivers 51909 tok/s/chip at $0.01 per million tokens; B300 delivers 59759 tok/s/chip at $0.01. B200 is 13% cheaper per token; B300 delivers 15% more tok/s/chip at this point.
B200 posts 38489 tok/s/chip for $0.01 per million tokens at 150 tok/s/user on Qwen 3.8 Flash Next 176B-A6B; B300 posts 46545 tok/s/chip for $0.01. B200 is 8% cheaper per token; B300 delivers 21% more tok/s/chip. (Numbers reflect the default agentic-traces Β· fp4 selection for this URL β table and chart below update if you change sequence, precision, or model in the controls.)
| Metric | Interactivity (tok/s/user) | Interactivity (tok/s/user) | Interactivity (tok/s/user) |
|---|---|---|---|
| Throughput (tok/s/chip) | B200:62181.4B300:80846.0 | B200:51909.1B300:59758.9 | B200:38489.2B300:46545.0 |
| Cost ($/M tok) | B200:$0.008B300:$0.008 | B200:$0.009B300:$0.011 | B200:$0.012B300:$0.013 |
| tok/s/MW | B200:36363371B300:42550528 | B200:30356183B300:31452050 | B200:22508329B300:24497382 |
| Concurrency | B200:~14B300:~16 | B200:~11B300:~12 | B200:~8B300:~9 |
Agentic inference metrics from the AgentX scenario and fixed-sequence inference metrics across models, hardware configurations, and serving parameters.
