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Septor Labs vs OpenLLM

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

Septor Labs compared with OpenLLM
Detail Septor LabsOpenLLM logo OpenLLM
What it doesOne OpenAI-compatible API for every model with adaptive routing, hosted agents, pipelines, and observability Local LLM routing layer for Claude Code, Codex, and OpenCode
StageStartup Startup
Founded2025 Not given
Based inIN US
Pricing modelNot given Freemium
PricingFree: $1 free credits on signup (90 days), 50 requests and 500K tokens per day on free models. Starter: $14/month (30% off with PROMO code), includes $20 in monthly credits, 10 RPM burst 1.5x, 2 pipelines. Paid: $35/month (30% off), includes $50 in monthly credits, 20 RPM, 4 pipelines. Pro Plus: $70 Free: $0 per month with 50M tokens a month and 2 connected devices. Pro: $30 per month with unlimited tokens and 5 connected devices.
Key features
  • Access to 100+ open-weight and frontier AI models behind one endpoint
  • OpenAI-compatible HTTP endpoint
  • Semantic caching to reduce latency and costs
  • Reproducible pipelines composing models, tools, and data
  • Per-request structured traces with latency and cost breakdown
  • Adaptive routing with latency-aware fallbacks
  • Model-agnostic RAG, web search, and PII redaction via single header
  • Works with existing OpenAI SDK without code changes
  • Routes to 293 models from 24 providers
  • Automatic fallback across providers
  • Included inference on all plans
  • End-to-end encrypted key vault
  • Shared memory across agents
  • OpenAI and Anthropic compatible APIs
  • Context.dev integration for web data
  • Works with Claude Code, Codex, OpenCode and other tools
  • Browser chat with voice transcription
  • Cost and usage analytics
What makes it different
  • One unified invoice and observability dashboard across all models, agents, and pipelines
  • Transparent prepaid credits with per-token rates published in your dashboard
  • Hosted agents with explicit CPU and memory caps and fail-closed credit gates
  • No synthetic data in dashboards; all metrics reflect actual user traffic
  • No model retraining on customer data
  • First request works with no setup or keys required
  • All your keys and models accessible through one layer
  • Zero-knowledge encryption keeps your keys private
  • Users can bring their own AI to power your apps
  • No code changes required to route through OpenLLM
Community votes00
DR (Domain Rating by Ahrefs)27 +4 (up) since last check25 no change since last check
Trust Flow (Majestic)34
Citation Flow (Majestic)1925
Referring domains (Majestic)1638

6 details filled in for both companies.

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