InferenceXπŸŽƒbySemiAnalysis logo
HomeAgentXNEWOverviewDashboardubenchXAbout
StarΒ δΈ­ζ–‡
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.

MiniMax M3 428B Β· Chip comparison

MiniMax M3 428B β€” H200 vs MI325X

Head-to-head AI inference benchmark comparison of H200 (NVIDIA Hopper) and MI325X (AMD CDNA 3) on MiniMax M3 428B. 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†’

Near the low end of the 11–281 tok/s/user interactivity band, at 78 tok/s/user on MiniMax M3 428B: H200 runs 8926 tok/s/chip at $0.04/M tokens, MI325X runs 864 at $0.35/M. H200 is 831% cheaper per token; H200 delivers 933% more tok/s/chip.

Setting 146 tok/s/user as the target on MiniMax M3 428B, H200 produces 7800 tok/s/chip ($0.04 per million tokens) and MI325X produces 864 ($0.35). H200 is 714% cheaper per token; H200 delivers 803% more tok/s/chip.

At 214 tok/s/user interactivity on MiniMax M3 428B, H200 delivers 3815 tok/s/chip at $0.09 per million tokens; MI325X delivers 864 tok/s/chip at $0.35. H200 is 298% cheaper per token; H200 delivers 341% more tok/s/chip at this point. (Numbers reflect the default agentic-traces Β· fp8 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)
H200:8925.9MI325X:864.3
H200:7800.4MI325X:864.3
H200:3814.5MI325X:864.3
Cost ($/M tok)
H200:$0.038MI325X:$0.354
H200:$0.043MI325X:$0.354
H200:$0.089MI325X:$0.354
tok/s/MW
H200:6515256MI325X:511396
H200:5693758MI325X:511396
H200:2784341MI325X:511396
Concurrency
H200:~14MI325X:~1
H200:~10MI325X:~1
H200:~4MI325X:~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 (deprecated)
Chart Config
Interactivity
Compare history
Run context