14:50Stealth Ox Alpha: a new GLM model! Full test (coding & writing) against Grok, Gemini, GPT & others
Aug 21, 2026 · YouTube
30:13DeepSeek V4 Flash Vision: Low Price, but Does It Hallucinate?
Aug 21, 2026 · YouTube
51:00AI Coding Showdown: Grok 4.6, Gemini 3.7, Terra-Pro, Qwen3.8 2.4TB, Muse Glimmer & more
Aug 15, 2026 · YouTube
27:51Testing Gemini 3.7 Flash: Translation, Vision, and Coding Challenges
Aug 14, 2026 · YouTube
Inputs and files attached to the run itself. Model output is shown with its turn.
You are an expert automotive appraiser. Identify as many cars as possible in this image. Number each car and, for each, give: make, model, approximate year (a range is fine), and approximate average used price for that type of vehicle. Give a confidence level (high / medium / low) per car and say clearly when you are guessing. Work from the most clearly visible vehicles to the least.
I can identify 7 reasonably discernible vehicles. Prices are approximate U.S. used-market averages, assuming average mileage and clean title; trim, mileage, drivetrain, and condition can change them substantially.
Ford F-150 pickup
Nissan Murano, likely Platinum AWD
Nissan Altima
Toyota Camry
Honda Accord, likely
Honda Pilot, likely
Toyota Camry, likely
There are also several additional vehicles partially hidden under or behind the canopy, including what appear to be sedans and SUVs. Their visible portions are insufficient for a reliable make/model identification, so I would not assign specific models or prices to them.