InferenceXπŸŽƒbySemiAnalysis logo
HomeAgentXNEWOverviewDashboardubenchXAbout
Star1,930δΈ­ζ–‡
SemiAnalysis logo

Continuous open-source AI accelerator system benchmarking. Real-world, reproducible, auditable performance data trusted by trillion dollar AI infrastructure operators like OpenAI, Meta, Oracle, Microsoft, etc.

SemiAnalysis

Main SiteNewsletterAbout

Legal

Land AcknowledgementPrivacy PolicyCookie Policy

Contribute

BenchmarksAgentX HarnessVisualization

More

SupportersAgentXTelemetryComparisonsArticlesHardware ResultsWhitepapersAPI ReferenceHistorical TrendsTCO CalculatorFleet LifecycleFirst-Token LimitsPrefix Cache ReuseChip ReliabilityChip Specs DashboardPerformance per DollarModel ArchitecturesAI Inference GlossaryChip Specs & PricingGPU RankingsModel on GPU Results

If this data helps your work, consider starring us on GitHub or sharing with your network.

Β© 2026 semianalysis.com. All rights reserved.

DeepSeek V4.1 Flash 552B Β· Chip comparison

DeepSeek V4.1 Flash 552B β€” GB300 NVL72 vs MI355X

Head-to-head AI inference benchmark comparison of GB300 NVL72 (NVIDIA Blackwell) and MI355X (AMD CDNA 4) 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†’

At 210 tok/s/user interactivity on DeepSeek V4.1 Flash 552B, GB300 NVL72 delivers 555537 tok/s/chip at $0.00 per million tokens; MI355X delivers 59646 tok/s/chip at $0.01. GB300 NVL72 is 505% cheaper per token; GB300 NVL72 delivers 831% more tok/s/chip at this point.

GB300 NVL72 posts 298890 tok/s/chip for $0.00 per million tokens at 354 tok/s/user on DeepSeek V4.1 Flash 552B; MI355X posts 31817 tok/s/chip for $0.01. GB300 NVL72 is 510% cheaper per token; GB300 NVL72 delivers 839% more tok/s/chip.

Throughput at 497 tok/s/user on DeepSeek V4.1 Flash 552B: GB300 NVL72 hits 23716 tok/s/chip, MI355X hits 15332. Per-million costs land at $0.03 and $0.03 respectively. Cost per token is essentially tied; GB300 NVL72 delivers 55% 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.)

View performance-per-dollar view β†’

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)
GB300 NVL72:555536.6MI355X:59646.3
GB300 NVL72:298889.9MI355X:31816.9
GB300 NVL72:23716.4MI355X:15331.5
Cost ($/M tok)
GB300 NVL72:$0.001MI355X:$0.007
GB300 NVL72:$0.002MI355X:$0.013
GB300 NVL72:$0.027MI355X:$0.027
tok/s/MW
GB300 NVL72:262045574MI355X:28538912
GB300 NVL72:140985793MI355X:15223413
GB300 NVL72:11186968MI355X:7335665
Concurrency
GB300 NVL72:~2887MI355X:~30
GB300 NVL72:~1985MI355X:~8
GB300 NVL72:~13MI355X:~2

Inference Performance

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

Benchmark Config
8K / 1K
Chart Config
Interactivity
Compare history

No data available

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