AI Hippo

AI Hippo

Hungry for Data, Open for All

Four boards—models, agents, LLMs, and toolchains—so you can weigh and compare intelligence across the AI stack. Rankings are continuously updated with transparent source and methodology signals.

Hippo's Choice

Hippo's Choice
Top growth today (GitHub DoD first, else HF 24h trend)

Qwen3.6-27B-MTP-GGUF

unsloth

Growth +69.0%
Open repo / model card

Pick by task

  • Low-latency support

    Bias toward speed and stability for high-volume support and FAQ automation.

    Open suggested trio
  • Coding and tool use

    Prioritize function calling, long context, and structured output.

    Open global rankings
  • Cost-sensitive batch

    For offline generation and bulk rewrite; optimize for 1M-token cost.

    Open model board

Leaderboards

How we rank

Category note: Model is the cross-modality hub, while LLM is the text-only subset. Both are browsable directly.

Highlights

  • Static-first

    HTML at build time—SEO, CDN, and edge caching.

  • Four boards

    Models, agents, LLMs, and toolchains on one domain.

  • Evolvable data

    Replace JSON sources; optional CI refresh.

Audience

  • Engineering and product teams comparing models, agents, and toolchains
  • Researchers, advocates, and contributors tracking OSS and GitHub activity
  • Teams publishing eval or aggregation results as static, indexable pages
  • Organizations requiring auditable methodology and source citations alongside metrics

Data to pages

  1. Maintain or generate snapshots in src/data/db/site.sqlite via the data pipeline.
  2. Run Astro to emit locale-prefixed routes.
  3. Deploy to static hosting such as Cloudflare Pages; optional Actions for data refresh.

Use cases

  • Product and roadmap

    Cross-check model capability, agent completion, LLM instruction and reasoning, and toolchain coverage across four boards; the same vendor may appear on multiple boards to align releases and engineering effort.

  • Evaluation and reproducible publishing

    With fixed task suites and scoring scripts, wire JSON from the pipeline and pin versions, weights, and seeds in Methodology; publish sub-scores and failure cases where appropriate.

  • Open-source ecosystems

    Leaderboards emphasize capability and delivery; GitHub trends emphasize community activity—they complement each other. High stars do not imply top benchmark scores; sustained maintenance and discussion often signal adoption.

  • Communications and compliance

    Static pages serve as citeable snapshots: retain URLs, fetch times, and licenses on Sources; FAQ clarifies data scope and update cadence.

Scope & data policy

Leaderboards are generated via versioned data pipelines using verified benchmarks and community signals.

Documentation

Weekly updates & analysis

Browse all insight posts

View site update ledger