AINewsnow

I benchmarked Jev against three cheap chat models, then had to publish two corrections

Most numbers you'll see about TypeSafe's Jev decision model come from TypeSafe. I wanted my own, so I ran Jev 1.13, Mistral Small 3.2, Gemini 2.5 Flash Lite and GPT-5 nano through the same eight fixtures on one gateway, five runs each (40 per model), on 2026-09-20. Headline: cheaper and faster, but…

Read the full story at DEV Community — Machine Learning ↗

Timeline · 1 report

  1. 2026-10-19 08:12 · DEV Community — Machine Learning
    I benchmarked Jev against three cheap chat models, then had to publish two corrections

More stories

  1. Mistral AI Releases Timestral: A 209M Forecasting Model Family That Outperforms Google’s TimesFM-3 — MarkTechPost
  2. Tried out Gemini 4 Argon Medium on Antigravity. Burnt 66% of its WEEKLY quota and performed worse than both GPT 6.1 Sol Medium and Claude 5.5 Opus Medium — r/GeminiAI
  3. Building a multiplayer extraction RTS with Claude Opus and GPT Astra: reusable tools and worker/reviewer pairs — r/ClaudeAI
  4. Gemini 4 Argon is fascinating — r/GeminiAI
  5. Eval of 18 methods automatically setting focal point using Jev, GPT-5.5, smaller object detection models and what it means for your CMS. — r/computervision
  6. Please assist, second RTX 3090 or first RTX 5070 TI? — r/LocalLLM
  7. Gemini is so back — r/GeminiAI
  8. I asked AI where it would place Bots, Humans, and LLM on a scale — r/ArtificialInteligence

Get the daily brief of stories like this at 6:30 every morning →