Together AI vs Knotr

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

Together AI compared with Knotr
Detail	Together AI	Knotr
What it does	The AI Native Cloud	Your voice and skills in every AI tool you use
Stage	Not given	Startup
Founded	Not given	Not given
Based in	Not given	US
Pricing model	Freemium	Freemium
Pricing	Serverless inference with pay-per-use token pricing ($0.0015 to $4.50 per 1M tokens for chat/vision models). Provisioned throughput with reserved PTUs for committed capacity. Dedicated GPU endpoints at $5.49-$8.99 per hour. Fine-tuning from $0.34-$40 per 1M tokens. GPU clusters at $1.99-$9.99 per GP	Free: 1 Profile, 10 Skills, 50 Documents, 10 Artifacts, 1 Style Guide from Starter Pack, 100 Hosted Chat AI credits/month. Pro: $24/mo or $20/mo billed annually, 5 Profiles, 75 Skills, 500 Documents, 75 Artifacts, 1 Style Guide, 1,000 Hosted Chat AI credits/month. Max: $49/mo or $40/mo billed annual
Key features	GPU clusters at scale with autoscaling Voice agent infrastructure with sub-second latency Comprehensive model library with 25+ regions	Profiles to define voice, tone, and judgment Style Guides to enforce writing rules Knowledgebases to store trusted documents and notes Skills to package repeatable workflows Artifacts for versioned, shareable outputs Hosted Chat with custom runtime MCP integration with external tools Team workspaces with shared knowledge Skill Catalog for discovery and import Collections to group and present artifacts
What makes it different	2x faster inference powered by cutting-edge research optimization 60% lower cost with workload-specific optimization 90% faster pre-training with Together Kernel Collection Research-optimized infrastructure with proprietary kernels Single unified API across multiple model providers	Output sounds like you, not generic AI, because every tool reads the same profiles and style guides Stop re-uploading docs and rewriting instructions for each new tool Individual voice, shared standards on teams Built-in changelogs instead of Git for managing skills Works with any MCP-compatible AI client without vendor lock-in
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)	82 +1 (up) since last check	2 no change since last check
Trust Flow (Majestic)	36	4
Citation Flow (Majestic)	56	25
Referring domains (Majestic)	8195	27

5 details filled in for both companies.

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