GLM 5.3 744B — B200 vs MI355X Performance per Dollar
Cost per million tokens of B200 (NVIDIA Blackwell) versus MI355X (AMD CDNA 4) on GLM 5.3 744B. Owning-hyperscaler TCO normalized by output tokens — performance per dollar across LLM workloads. Pick the more cost-efficient SKU at every target interactivity level. Use the chart controls below to switch sequences, precisions, and metrics — 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 →
Near the low end of the 92–157 tok/s/user interactivity band — at 108 tok/s/user — B200 runs $0.05 per million tokens on GLM 5.3 744B while MI355X runs $0.08. B200 is the cheaper choice by 57%.
On GLM 5.3 744B at 125 tok/s/user, the per-million math comes out to $0.06 for B200 and $0.10 for MI355X; B200 delivers 78% more output per dollar.
At 141 tok/s/user on GLM 5.3 744B, B200 costs $0.06 per million tokens; MI355X costs $0.22. B200 is 247% more cost-efficient at this operating point. (Numbers reflect the default agentic-traces · fp4 selection for this URL — table and chart below update if you change sequence, precision, or model in the controls.)
Chip pricing (owning hyperscaler): B200 $1.73/chip/hr · MI355X $1.50/chip/hr. Source: SemiAnalysis Market July 2026 Pricing Surveys & AI Cloud TCO Model.
| Metric | Interactivity (tok/s/user) | Interactivity (tok/s/user) | Interactivity (tok/s/user) |
|---|---|---|---|
| Dollar per Million Tokens | B200:$0.048MI355X:$0.076 | B200:$0.055MI355X:$0.099 | B200:$0.064MI355X:$0.222 |
| Concurrency | B200:~15MI355X:~4 | B200:~14MI355X:~2 | B200:~11MI355X:~2 |
Inference Performance
Agentic inference metrics from the AgentX scenario and fixed-sequence inference metrics across models, hardware configurations, and serving parameters.