GLM 5.3 744B · Performance per Dollar

GLM 5.3 744B — GB300 NVL72 vs MI355X Performance per Dollar

Cost per million tokens of GB300 NVL72 (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

GB300 NVL72: $0.02 per million tokens. MI355X: $0.07. Both at 104 tok/s/user on GLM 5.3 744B, with GB300 NVL72 228% cheaper.

Around the middle of the 87–157 tok/s/user interactivity band — at 122 tok/s/user — GB300 NVL72 runs $0.03 per million tokens on GLM 5.3 744B while MI355X runs $0.09. GB300 NVL72 is the cheaper choice by 177%.

On GLM 5.3 744B at 140 tok/s/user, the per-million math comes out to $0.04 for GB300 NVL72 and $0.22 for MI355X; GB300 NVL72 delivers 401% more output per dollar. (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): GB300 NVL72 $2.31/chip/hr · MI355X $1.50/chip/hr. Source: SemiAnalysis Market July 2026 Pricing Surveys & AI Cloud TCO Model.

View full latency + throughput comparison →

GLM 5.3 744B: GB300 NVL72 versus MI355X cost per million tokens at matched interactivity levels
GB300 NVL72 versus MI355X cost per million tokens for this comparison's canonical default workload. Lower cost indicates better performance per dollar.
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)
Dollar per Million Tokens
GB300 NVL72:$0.022MI355X:$0.071
GB300 NVL72:$0.033MI355X:$0.092
GB300 NVL72:$0.044MI355X:$0.219
Concurrency
GB300 NVL72:~252MI355X:~4
GB300 NVL72:~83MI355X:~2
GB300 NVL72:~54MI355X:~2

Inference Performance

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