User tests find Gemini's Argan 4 least token-efficient and slowest
krayton1 · reddit · 2026-10-16
Reddit user krayton1 reports (with screenshots) that Gemini's Argan 4 is the least token-efficient model they've used — eating the most usage quota per task — and also the slowest to complete a task. A third-party hands-on complaint about the model's cost and speed profile.
Related event: Users Report Abnormal Quota Drain on Gemini Argon(8 posts)→
More from Models
- OpenAI stealth-testing mysterious internal model 'Aeon' in Codex desktop app and Dots — cedric_chee · 2026-10-16
- Argon edges out astra as daily driver, but Claude still wins heavy coding work — iruletheworldmo · 2026-10-16
- NVIDIA ships FP4-quantized Qwen3.8-Flash for local use, trending on Hugging Face — nvidia · 2026-10-16
- RoboVista benchmark: Gemini-4 Argon hits 81.9% on robotics understanding — berkeley_ai · 2026-10-16
- Dev reports decision model jev beats gpt-6-luna on quality in real training pipeline — genmon · 2026-10-16
- Google won't publish Argon 4 limits in AI Pro—users compare experiences — Consistent-Text-2662 · 2026-10-16