Baseten vs FastRecall

A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.

Baseten compared with FastRecall
Detail	Baseten	FastRecall
What it does	Inference platform for deploying AI models in production	Context across AI models. Made for routers and multi-agent systems.
Stage	Established	Not given
Founded	2019	Not given
Based in	Not given	Not given
Pricing model	usage-based	Not given
Pricing	Baseten offers three pricing tiers: Basic (pay-as-you-go starting at $0/month), Pro (with volume discounts available), and Enterprise (with custom SLAs and volume discounts). Compute pricing varies by GPU type, ranging from $0.00058/minute for CPU instances to $0.16633/minute for B200 GPUs. Model AP	Not given
Key features	Dedicated inference deployments Pre-optimized model APIs Multi-cloud deployment Self-hosted and hybrid options Training infrastructure with Loops SDK Baseten Chains for compound AI Advanced caching and decoding techniques Baseten Embeddings Inference (BEI) Forward-deployed engineering support HIPAA and SOC 2 Type II compliance	Lightning fast context recall Free context retrievals Model-free context compaction Multi-model support FlashCompact intelligent context organization Model provider caching integration Persistent context across providers
What makes it different	99.99% uptime with cross-cloud high availability Fastest embeddings with 2x higher throughput Pay only for compute in use, not idle time Optimized inference stack with custom kernels and latest decoding techniques	No LLM-based compaction overhead Multi-model compatibility Inexpensive storage pricing Fast recalls with no retrieval fees
Free plan	Not given	Not given
Open source	Not given	Not given
Platforms	Not given	Not given
Public API	Not given	Not given
Community votes	0	0
DR (Domain Rating by Ahrefs)	76 no change since last check	2 no change since last check
Trust Flow (Majestic)	34	0
Citation Flow (Majestic)	52	25
Referring domains (Majestic)	4223	27

3 details filled in for both companies.

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