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GLM 5.3 744B · Chip comparison

GLM 5.3 744B — H200 vs MI355X

Head-to-head AI inference benchmark comparison of H200 (NVIDIA Hopper) and MI355X (AMD CDNA 4) on GLM 5.3 744B. Latency, throughput, and cost across LLM workloads. 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 →

MI355X hits 9122 tok/s/chip for $0.05 per million tokens at 74 tok/s/user on GLM 5.3 744B. No H200 data at this operating point.

MI355X: 6020 tok/s/chip, $0.07 per million tokens at 102 tok/s/user on GLM 5.3 744B. H200 is unmeasured here.

At 130 tok/s/user on GLM 5.3 744B, MI355X delivers 3459 tok/s/chip at $0.12 per million tokens; H200 hasn't been benchmarked at this target. (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.)

View performance-per-dollar view →

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)
H200:—MI355X:9121.8
H200:—MI355X:6019.6
H200:—MI355X:3459.2
Cost ($/M tok)
H200:—MI355X:$0.046
H200:—MI355X:$0.069
H200:—MI355X:$0.120
tok/s/MW
H200:—MI355X:4364519
H200:—MI355X:2880173
H200:—MI355X:1655108
Concurrency
H200:—MI355X:~7
H200:—MI355X:~4
H200:—MI355X:~2

Inference Performance

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

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No measurements to plot for this selection. Review the benchmark controls above or adjust quick filters.