InferenceXbySemiAnalysis logo
HomeAgentXNEWOverviewDashboardComparisonsArticlesAbout
Star1,776中文
SemiAnalysis logo

Continuous open-source agentic inference 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

SupportersAgentXTelemetryArticlesWhitepapersAPI 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.

© 2026 semianalysis.com. All rights reserved.

DeepSeek V4.1 Flash 552B · Chip comparison

DeepSeek V4.1 Flash 552B — B300 vs MI325X

Head-to-head AI inference benchmark comparison of B300 (NVIDIA Blackwell) and MI325X (AMD CDNA 3) on DeepSeek V4.1 Flash 552B. 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 →

Setting 74 tok/s/user as the target on DeepSeek V4.1 Flash 552B, B300 produces 113837 tok/s/chip ($0.01 per million tokens) and MI325X produces 14041 ($0.02). B300 is 295% cheaper per token; B300 delivers 711% more tok/s/chip.

At 121 tok/s/user interactivity on DeepSeek V4.1 Flash 552B, B300 delivers 58034 tok/s/chip at $0.01 per million tokens; MI325X delivers 7830 tok/s/chip at $0.04. B300 is 261% cheaper per token; B300 delivers 641% more tok/s/chip at this point.

B300 posts 51183 tok/s/chip for $0.01 per million tokens at 168 tok/s/user on DeepSeek V4.1 Flash 552B; MI325X posts 4100 tok/s/chip for $0.07. B300 is 508% cheaper per token; B300 delivers 1148% more tok/s/chip. (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)
B300:113836.8MI325X:14041.0
B300:58033.6MI325X:7830.1
B300:51182.9MI325X:4100.4
Cost ($/M tok)
B300:$0.006MI325X:$0.022
B300:$0.011MI325X:$0.039
B300:$0.012MI325X:$0.075
tok/s/MW
B300:59914115MI325X:8308284
B300:30544007MI325X:4633207
B300:26938383MI325X:2426250
Concurrency
B300:~42MI325X:~6
B300:~39MI325X:~1
B300:~16MI325X:~1

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.