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Ellipsis vs SuperCompress

EllipsisSuperCompress

Bottom line: Ellipsis for teams wanting predictable flat pricing; SuperCompress for developers cutting LLM API costs.

AI code review with unlimited, flat-price usage

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Query-aware prompt compression that cuts LLM input tokens by roughly 60% before inference.

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Votes00
PricingFreemiumFreemium
CategoryCodingCoding
Tags
code-reviewbug-detectiongithubdeveloper-toolspull-requests
llmdeveloper-toolscost-optimization
Best for
  • Teams wanting predictable flat pricing
  • GitHub-based engineering teams
  • Open-source projects (free public repos)
  • Developers cutting LLM API costs
  • RAG pipelines with oversized retrieved context
  • Teams running coding agents
Pros
  • Flat per-developer price with unlimited reviews
  • No caps or overage charges
  • Generates usable fix code directly
  • Free for public repositories
  • SOC 2 certified
  • Open source under the MIT license and free to self-host
  • Genuine free tier: 1M tokens/month with no credit card
  • Cheap
  • transparent usage pricing at $0.30 per 1M tokens
  • Runs on CPU with no GPU or model download (~60ms per compression)
Cons
  • GitHub-centric; fewer platform integrations
  • Younger, lightly funded, smaller track record
  • No self-hosted option noted
  • Review depth varies by codebase
  • Still requires human review and testing
  • Early-stage project with a small team and limited independent track record
  • Headline compression (~58-82%) and >98% retention figures are vendor-reported and benchmark-dependent
  • Compression is lossy
  • so aggressive settings can drop context that later turns out to matter
  • Text-only: it does not compress image or audio context

Comparison generated from each tool's listing. Add or remove tools above to change it.