Waste recycling vision API test: Gemini 76% accuracy, OpenAI only 53%
Scobleizer · x · 2026-11-14
Roboflow's Erik Kokalj benchmarked three vision APIs on classifying whether waste is recyclable:
- Accuracy: Gemini 76%, Jev 72%, OpenAI 53%
- Cost per 1,000 images: Gemini $0.13, Jev and OpenAI $0.08
- Speed: Jev fastest at 130ms median
Takeaway: Gemini wins on accuracy, Jev on speed and cost, OpenAI trails notably on this task.
More from Models
- OpenAI dissolves robotics team again as GPT-6 Astra can control robots directly — The Decoder · 2026-11-14
- Users report Sol 6.1 has become 'incredibly stupid' lately, making rookie mistakes — graham_dev · 2026-11-14
- Tesla FSD keeps missing speed limit signs, doing 90 in a 50 zone, user reports — haydendevs · 2026-11-14
- Rumor: OpenAI shelved a stronger model over hacking tendencies, Astra 6.1 cancelled — haider1 · 2026-11-14
- Gemini 4 guide: Carbon is the frontier model, Hydrogen costs $1.50/1M input — patloeber · 2026-11-14
- Local LLM stack cheat sheet: seven open models mapped to chat, coding, TTS and more — alex_verem · 2026-11-14