Video summary

The mystery is solved... and the answer is 40x cheaper than Claude

Main summary

Key takeaways

Technology

Main technological/product analysis: “Ox Alpha” (an anonymous Frontier-grade model)

Origin & identity

  • An anonymous model called Ox Alpha appeared on Open Router, following several other anonymous “animal” models previously traced to China.
  • Early evidence included:
    • Stack trace / error code matches to Zoo’s API
    • A tokenizer fingerprint matching Zoo/GLM-style GLM series tokenization
  • A privacy warning in fine print stated prompts were retained by a mysterious entity, but adoption still surged due to performance/cost.

Performance & adoption

  • In its first 6 days, it reportedly processed 42 trillion tokens, becoming the most popular model on Open Router and doubling the next closest (DeepS).
  • At peak, it accounted for ~one-third of Open Router’s weekly traffic.
  • Reports included people routing Claude via Ox Alpha to dodge rate limits.
  • Some hype/marketing spread:
    • A viral screenshot claimed an 80% result on a “DeepS.WE” benchmark; it was later corrected to about 58%.
    • Speculation suggested it might be a stolen Claude checkpoint.

Official reveal

  • Jepu later confirmed (Aug 26) that Ox Alpha = GLM 5.3 Flash.
  • Described characteristics:
    • Natively multimodal Mixture-of-Experts (MoE)
    • ~320B total parameters
    • MIT-licensed weights released on Hugging Face the same day

Hardware / compute note

  • The “stealth run” allegedly used only 100,000 Chinese-made chips, framed as a competitive/strategic point.

Pricing / cost comparison

  • Ox Alpha switched from fully free samples to a paid endpoint with a pricing page.
  • Cited costs:
    • 15 cents per million input tokens
    • 50 cents per million out tokens
  • With a 50% discount through Sep 9, it was claimed to be up to ~40× cheaper than Claude.

Known behavior / limitations

  • Benchmarks reportedly “held up” under outside scrutiny, but the host characterizes it as:
    • Slow
    • Prone to excessive output (“loves to yap”)
    • Occasionally stuck in doom loops

Practical “tutorial/test” use case: modernizing a legacy web app

Test project

  • The speaker tested Ox Alpha by giving it a “Horse” project:
    • A 2016 Angular.js app
    • Last commit ~10 years ago
  • Goal: modernize the stack without losing humor/vibes.

What it did (feature demonstration)

  • Detected outdated technologies and outlined a modernization plan (noted as very verbose, with extensive “narrating”).
  • Built a design system using raw CSS, including:
    • Styled UI elements (e.g., purple slot backgrounds)
    • Rainbow gradient buttons
  • Used vision capability to:
    • Detect a CSS overflow bug on mobile
    • Diagnose and fix it using the “min-width: 0” workaround (“cursed min width equals zero trick”)
    • Add enter animations for video cards
  • Preserved existing humor and added UX elements like toast notifications.

Coding style / modernization approach

  • Replaced a legacy stack with a simplified implementation:
    • HTML + CSS + vanilla JavaScript
  • The output was described as resembling a coherent legacy-style codebase, rather than an alien rewrite.

Vision/video understanding test

  • The speaker provided a random horse video and asked the model to:
    • Add it to the app
    • Generate a title, description, and comments aligned with the video content
  • Claimed approach:
    • Used FFmpeg to break the video into frames
    • Performed frame analysis
  • Reported results:
    • Correctly captured the full context
    • Produced a relevant description
    • Matched humor style to the platform

Additional tool covered (sponsor): Exa for AI-agent search

What Exa is

  • A search engine for AI agents with more than web results:
    • 350M research papers
    • Financial data
    • Info on 1B people and 70M companies
    • Weekly source updates

Integration / example

  • The sponsor example involved hooking Exa into Polyhip to retrieve recent SEC filings.
  • Exa purportedly converts filings into structured JSON in one shot.
  • Exa provides citations/source links to reduce “cheating” accusations.

Agent usage

  • Plugin compatible with Claude, ChatGPT, and other agent systems (via native plugins).
  • Mentions Exa Agent for complex queries spanning multiple datasets.

Offer

  • Free trial and $20 credits via link (sponsor callout).

Main speakers/sources (as stated)

  • Speaker/host: narrator of “The Code Report” (no personal name given in subtitles)
  • Source/confirming entities:
    • Jepu (confirmed Ox Alpha = GLM 5.3 Flash on Aug 26)
    • Zoo / GLM / GLM series (inferred from tokenizer + API matching)
    • Exa (video sponsor)

Original video