Compare the same models
Speed, response start, output speed, and token pricing are paired by exact text model. Models offered by only one provider still count toward catalog coverage but never influence the speed winner.
Provider head-to-head
Compare LLM providers with same-model benchmarks
Choose two AI inference providers to compare their speed, token prices, reliability, model coverage, headquarters, and server regions. Performance is judged only on exact models both providers run.
Qualified comparisons
Popular provider comparisons
These pairs have at least three recent same-model speed measurements on both providers.
DeepInfra vs NovitaAI
46 same-model speed benchmarks
Azure vs OpenAI
28 same-model speed benchmarks
DeepInfra vs Venice
26 same-model speed benchmarks
DeepInfra vs SiliconFlow
24 same-model speed benchmarks
NovitaAI vs SiliconFlow
24 same-model speed benchmarks
AtlasCloud vs NovitaAI
23 same-model speed benchmarks
DeepInfra vs Parasail
23 same-model speed benchmarks
AtlasCloud vs DeepInfra
22 same-model speed benchmarks
NovitaAI vs Parasail
22 same-model speed benchmarks
NovitaAI vs Venice
22 same-model speed benchmarks
Alibaba Cloud Int. vs DeepInfra
18 same-model speed benchmarks
Parasail vs Venice
18 same-model speed benchmarks
AtlasCloud vs SiliconFlow
17 same-model speed benchmarks
Alibaba Cloud Int. vs NovitaAI
16 same-model speed benchmarks
AtlasCloud vs Venice
16 same-model speed benchmarks
NovitaAI vs StreamLake
16 same-model speed benchmarks
DeepInfra vs Weights & Biases
15 same-model speed benchmarks
DigitalOcean vs NovitaAI
15 same-model speed benchmarks
Parasail vs SiliconFlow
15 same-model speed benchmarks
SiliconFlow vs Venice
15 same-model speed benchmarks
AtlasCloud vs StreamLake
14 same-model speed benchmarks
DeepInfra vs DigitalOcean
14 same-model speed benchmarks
DeepInfra vs Phala
14 same-model speed benchmarks
DeepInfra vs StreamLake
14 same-model speed benchmarks
Multi-model coverage
Find one provider for several models
Already know which models your application needs? Select two to five text models and find providers that offer the complete set.
Fair provider comparisons
How ProviderBench compares AI inference providers
Provider catalogs contain models with very different sizes and workloads. Comparing raw catalog averages can make a host look fast simply because it serves smaller models. Head-to-head pages remove that bias by measuring each provider on the same exact model IDs.
Keep metric winners separate
The fastest provider, cheapest provider, and provider with the most models can differ. ProviderBench reports each result independently instead of hiding product trade-offs inside one overall score.
Validate deployment requirements
Published medians are useful for shortlisting. Confirm regional hosting, privacy terms, rate limits, context requirements, and application latency with production-like traffic before choosing a provider.