Head-to-head AI inference benchmark comparison of GB300 NVL72 (NVIDIA Blackwell) and Vera Rubin NVL72 (NVIDIA Vera Rubin) on MiniMax M3 428B. 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
Throughput at 159 tok/s/user on MiniMax M3 428B: GB300 NVL72 hits 32568 tok/s/chip, Vera Rubin NVL72 hits 110607. Per-million costs land at $0.02 and $0.01 respectively. Vera Rubin NVL72 is 117% cheaper per token; Vera Rubin NVL72 delivers 240% more tok/s/chip.
GB300 NVL72 / Vera Rubin NVL72 on MiniMax M3 428B at 218 tok/s/user: 21832 / 82992 tok/s/chip, $0.03 / $0.01 per million tokens. Vera Rubin NVL72 is 143% cheaper per token; Vera Rubin NVL72 delivers 280% more tok/s/chip.
Toward the upper edge of the 100β336 tok/s/user interactivity band, at 277 tok/s/user on MiniMax M3 428B: GB300 NVL72 runs 13103 tok/s/chip at $0.05/M tokens, Vera Rubin NVL72 runs 61330 at $0.02/M. Vera Rubin NVL72 is 199% cheaper per token; Vera Rubin NVL72 delivers 368% more tok/s/chip. (Numbers reflect the default agentic-traces Β· fp4 selection for this URL β table and chart below update if you change sequence, precision, or model in the controls.)
| Metric | Interactivity (tok/s/user) | Interactivity (tok/s/user) | Interactivity (tok/s/user) |
|---|---|---|---|
| Throughput (tok/s/chip) | GB300 NVL72:32567.6Vera Rubin NVL72:110606.8 | GB300 NVL72:21832.5Vera Rubin NVL72:82991.8 | GB300 NVL72:13103.4Vera Rubin NVL72:61330.5 |
| Cost ($/M tok) | GB300 NVL72:$0.020Vera Rubin NVL72:$0.009 | GB300 NVL72:$0.029Vera Rubin NVL72:$0.012 | GB300 NVL72:$0.049Vera Rubin NVL72:$0.016 |
| tok/s/MW | GB300 NVL72:15362054Vera Rubin NVL72:33517198 | GB300 NVL72:10298334Vera Rubin NVL72:25149042 | GB300 NVL72:6180856Vera Rubin NVL72:18584998 |
| Concurrency | GB300 NVL72:~29Vera Rubin NVL72:~38 | GB300 NVL72:~20Vera Rubin NVL72:~23 | GB300 NVL72:~24Vera Rubin NVL72:~22 |
Agentic inference metrics from the AgentX scenario and fixed-sequence inference metrics across models, hardware configurations, and serving parameters.
TCO $/chip/hr:
Source: SemiAnalysis Market July 2026 Pricing Surveys & AI Cloud TCO Model
Note: Disaggregated inference configurations (e.g., MoRI SGLang, Dynamo TRTLLM) calculate cost per million tokens per decode chip or per prefill chip, rather than per total chip count. This makes direct token cost comparison with aggregated configs not an apples-to-apples comparison.
Note: Disaggregated inference configurations (e.g., MoRI SGLang, Dynamo TRTLLM) calculate input throughput per decode chip or per prefill chip, rather than per total chip count. This makes direct input throughput comparison with aggregated configs not an apples-to-apples comparison.
Note: Disaggregated inference configurations (e.g., MoRI SGLang, Dynamo TRTLLM) calculate output throughput per decode chip or per prefill chip, rather than per total chip count. This makes direct output throughput comparison with aggregated configs not an apples-to-apples comparison.
Note: Disaggregated inference configurations (e.g., MoRI SGLang, Dynamo TRTLLM) calculate power per decode chip or per prefill chip, rather than per total chip count. This makes direct power comparison with aggregated configs not an apples-to-apples comparison.
Note: Disaggregated inference configurations (e.g., MoRI SGLang, Dynamo TRTLLM) calculate Joules per decode chip or per prefill chip, rather than per total chip count. This makes direct Joules per token comparison with aggregated configs not an apples-to-apples comparison.
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MiniMax M3 428B 8K / 1K Total Tokens per $1 TCO vs. Interactivity