Cohere vs Subquadratic

Cohere

Cohere is the pragmatic choice when retrieval quality and data sovereignty drive the decision — Embed and Rerank remain reference points, and few rivals match its VPC and on-prem menu. The catch is that its generative models trail the frontier labs on raw capability, and the newest platform products push you into sales conversations rather than self-serve.

Pros

• +Embed and Rerank are widely used building blocks for enterprise search
• +Deployment menu spans SaaS API, VPC, on-prem and managed dedicated instances
• +Clear per-token public pricing for API models
• +Free rate-limited keys make evaluation easy

Cons

• −Generation quality sits behind top-tier frontier models
• −Flagship platforms (North, Compass) have no public pricing
• −Trial keys prohibit commercial use

Subquadratic

Subquadratic is betting that a purpose-built sparse-attention architecture beats chunking-and-retrieval for genuinely huge documents, backed by real seed funding and a team with frontier-lab pedigree. Every performance and efficiency number available right now comes from the company itself, and the product isn't broadly available yet, so it can't be evaluated hands-on.

Pros

• +Raised $29M in seed funding, per independent press coverage, backing continued development
• +Claims a large compute-efficiency advantage at multi-million-token context via a proprietary attention method
• +Founding team has direct frontier-lab and relevant enterprise AI experience
• +Targets a genuine gap: true whole-document reasoning versus chunk-and-retrieve workarounds

Cons

• −Not generally available; access is gated behind an application
• −No published pricing
• −All benchmark numbers currently come from the company itself, not independent evaluation

Does Cohere or Subquadratic have a free tier?

Cohere has a free tier; Subquadratic prices on request.

Which has a public API, Cohere or Subquadratic?

Both ship a public API, so either can be built on; the fact table above shows the platforms each one runs on.