Kimi K2.5/K2.6/K2.7-Code 1T — B200 vs B300
Head-to-head AI inference benchmark comparison of B200 (NVIDIA Blackwell) and B300 (NVIDIA Blackwell) on Kimi K2.5/K2.6/K2.7-Code 1T. 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.
Near the low end of the 23–167 tok/s/user interactivity band, at 59 tok/s/user on Kimi K2.5/K2.6/K2.7-Code 1T: B200 runs 5146 tok/s/GPU at $0.11/M tokens, B300 runs 3059 at $0.21/M. B200 is 87% cheaper per token; B200 delivers 68% more tok/s/GPU.
Setting 95 tok/s/user as the target on Kimi K2.5/K2.6/K2.7-Code 1T, B200 produces 2115 tok/s/GPU ($0.26 per million tokens) and B300 produces 2723 ($0.24). B300 is 8% cheaper per token; B300 delivers 29% more tok/s/GPU.
At 131 tok/s/user interactivity on Kimi K2.5/K2.6/K2.7-Code 1T, B200 delivers 964 tok/s/GPU at $0.56 per million tokens; B300 delivers 1288 tok/s/GPU at $0.50. B300 is 13% cheaper per token; B300 delivers 34% more tok/s/GPU at this point. (Numbers reflect the default 8k/1k · fp4 selection for this URL — table and chart below update if you change sequence, precision, or model in the controls.)
| Metric | Interactivity (tok/s/user) | Interactivity (tok/s/user) | Interactivity (tok/s/user) |
|---|---|---|---|
| Throughput (tok/s/gpu) | B200:5145.9B300:3059.2 | B200:2114.8B300:2723.1 | B200:963.8B300:1288.1 |
| Cost ($/M tok) | B200:$0.114B300:$0.213 | B200:$0.257B300:$0.237 | B200:$0.562B300:$0.498 |
| tok/s/MW | B200:3009317B300:1610124 | B200:1236717B300:1433198 | B200:563641B300:677974 |
| Concurrency | B200:~222B300:~25 | B200:~95B300:~14 | B200:~30B300:~5 |
Inference Performance
Inference performance metrics across different models, hardware configurations, and serving parameters.