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Kimi K3 2.8T Β· Chip comparison

Kimi K3 2.8T β€” GB300 NVL72 vs H200

Head-to-head AI inference benchmark comparison of GB300 NVL72 (NVIDIA Blackwell) and H200 (NVIDIA Hopper) on Kimi K3 2.8T. 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†’

Near the low end of the 2–251 tok/s/user interactivity band, at 64 tok/s/user on Kimi K3 2.8T: GB300 NVL72 runs 13160 tok/s/chip at $0.05/M tokens, H200 runs 70 at $4.85/M. GB300 NVL72 is 9847% cheaper per token; GB300 NVL72 delivers 18734% more tok/s/chip.

Setting 126 tok/s/user as the target on Kimi K3 2.8T, GB300 NVL72 produces 8013 tok/s/chip ($0.08 per million tokens) and H200 produces 70 ($4.85). GB300 NVL72 is 5957% cheaper per token; GB300 NVL72 delivers 11368% more tok/s/chip.

At 189 tok/s/user interactivity on Kimi K3 2.8T, GB300 NVL72 delivers 4151 tok/s/chip at $0.15 per million tokens; H200 delivers 70 tok/s/chip at $4.85. GB300 NVL72 is 3038% cheaper per token; GB300 NVL72 delivers 5842% more tok/s/chip at this point. (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.)

View performance-per-dollar view β†’

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)
GB300 NVL72:13159.7H200:69.9
GB300 NVL72:8013.2H200:69.9
GB300 NVL72:4151.4H200:69.9
Cost ($/M tok)
GB300 NVL72:$0.049H200:$4.850
GB300 NVL72:$0.080H200:$4.850
GB300 NVL72:$0.155H200:$4.850
tok/s/MW
GB300 NVL72:6207425H200:51001
GB300 NVL72:3779809H200:51001
GB300 NVL72:1958225H200:51001
Concurrency
GB300 NVL72:~53H200:~1
GB300 NVL72:~46H200:~1
GB300 NVL72:~9H200:~1

Inference Performance

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

Benchmark Config
8K / 1K
Chart Config
Interactivity
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