DeepSeek V4.1 Flash 552B · Performance per Dollar

DeepSeek V4.1 Flash 552B — H100 vs MI355X Performance per Dollar

Cost per million tokens of H100 (NVIDIA Hopper) versus MI355X (AMD CDNA 4) on DeepSeek V4.1 Flash 552B. Large-hyperscaler-volume ownership TCO normalized by total 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

On DeepSeek V4.1 Flash 552B at 79 tok/s/user, the per-million math comes out to $0.08 for H100 and $0.27 for MI355X; H100 delivers 223% more total tokens per dollar.

At 144 tok/s/user on DeepSeek V4.1 Flash 552B, H100 costs $0.08 per million tokens; MI355X costs $0.27. H100 is 223% more cost-efficient at this operating point.

H100 edges MI355X at 210 tok/s/user on DeepSeek V4.1 Flash 552B — $0.09 per million tokens versus $0.27, a 215% cost-per-token gap. (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): H100 $1.17/chip/hr · MI355X $1.50/chip/hr. Source: SemiAnalysis Market July 2026 Pricing Surveys & AI Cloud TCO Model.

View full latency + throughput comparison →

DeepSeek V4.1 Flash 552B: H100 versus MI355X cost per million tokens at matched interactivity levels
H100 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
H100:$0.085MI355X:$0.275
H100:$0.085MI355X:$0.275
H100:$0.087MI355X:$0.275
Concurrency
H100:~4MI355X:~1
H100:~4MI355X:~1
H100:~4MI355X:~1

Inference Performance

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

Benchmark Config

No data available

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