Head-to-head AI inference benchmark comparison of B200 (NVIDIA Blackwell) and MI300X (AMD CDNA 3) on DeepSeek V4.1 Flash 552B. 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
B200 / MI300X on DeepSeek V4.1 Flash 552B at 88 tok/s/user: 206700 / 7398 tok/s/chip, $0.00 / $0.04 per million tokens. B200 is 1434% cheaper per token; B200 delivers 2694% more tok/s/chip.
Around the middle of the 50β204 tok/s/user interactivity band, at 127 tok/s/user on DeepSeek V4.1 Flash 552B: B200 runs 148724 tok/s/chip at $0.00/M tokens, MI300X runs 4133 at $0.06/M. B200 is 1876% cheaper per token; B200 delivers 3498% more tok/s/chip.
Setting 165 tok/s/user as the target on DeepSeek V4.1 Flash 552B, B200 produces 116628 tok/s/chip ($0.00 per million tokens) and MI300X produces 3701 ($0.07). B200 is 1631% cheaper per token; B200 delivers 3051% more tok/s/chip. (Numbers reflect the default agentic-traces Β· fp4 selection for this URL β table and chart below update if you change sequence, precision, or model in the controls.)
| Metric | Interactivity (tok/s/user) | Interactivity (tok/s/user) | Interactivity (tok/s/user) |
|---|---|---|---|
| Throughput (tok/s/chip) | B200:206699.8MI300X:7398.0 | B200:148723.8MI300X:4133.3 | B200:116628.3MI300X:3700.9 |
| Cost ($/M tok) | B200:$0.002MI300X:$0.036 | B200:$0.003MI300X:$0.064 | B200:$0.004MI300X:$0.071 |
| tok/s/MW | B200:120877058MI300X:5322293 | B200:86973007MI300X:2973612 | B200:68203697MI300X:2662521 |
| Concurrency | B200:~64MI300X:~5 | B200:~93MI300X:~2 | B200:~48MI300X:~1 |
Agentic inference metrics from the AgentX scenario and fixed-sequence inference metrics across models, hardware configurations, and serving parameters.
No measurements to plot for this selection. Review the benchmark controls above or adjust quick filters.
