Pulse Benchmarks @PulseBenchmarks
Open, reproducible benchmarks for GPU and inference-compute pricing. 13 providers, daily collection, public methodology. CC-BY 4.0. pulsebenchmarks.com Joined April 2026-
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Methodology → pulsebenchmarks.com/methodology Indices → pulsebenchmarks.com/indices Code → github.com/pulsebenchmarks Reproduce any value → pulsebenchmarks.com/reproduce Errata, methodology questions, partnership asks — DMs open.
Built for: • FinOps teams pricing GPU procurement • Research papers citing reproducible compute costs • Analysts tracking provider spreads & supply tightness • Founders modelling COGS for AI products Every Friday: a "GPU Market Pulse" recap thread with charts.
Pulse publishes open, reproducible reference indices for GPU and inference-compute pricing. Daily collection from 13 providers. Methodology public. Calculations tied to open-source code. History free under CC-BY 4.0. Why this exists ↓
Data quality commitments: • Every observation carries full provenance (provider, checkpoint, quant, context tier, raw payload ref) • Raw payloads stored immutably — every number reproducible from the source response
First observation worth naming: the DeepSeek US↔China gap has collapsed. DeepSeek's own China-hosted API on V3.2: $0.315 blended/Mtok US commodity basket minimum: $0.290/Mtok Gap direction: US cheaper 1.09× — effectively at parity. Tracked as a time series.
@SemiAnalysis_ @Kimi_Moonshot @rogerw0108 and only a small on demand premium
@TheGeorgePu If you need pricing data across GPUs to calculate cost vs on demand breakevens feel free to register with us!
@HotAisle @digitalocean @AMD check out our site if you want the full picture…
@bitcoinbutcher1 @DollarCostAvg @danroberts0101 Current on demand B300 rates higher than that..
@HyperAICapital @alex_mirran Hardly surprising given how competitive they are on $/GPU/hr vs the hyperscalers
@casper_hansen_ we track this!
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