Run Detail
completedgpt-6.1-solRecorded for these videos
16:43Gemini 4 Argon: Great 🐈 Animation, but a broken escalator. (Coding challenge vs Opus 5.5, Sol 6.1)
Oct 13, 2026 · YouTube
22:47Mistral Large 4 Is Cheap. But Is It Good Enough to Compete?
Oct 6, 2026 · YouTube
30:00Did Elon Musk's team "train the gay away"... and make Grok 4.7 worse?
Sep 26, 2026 · YouTube
19:21I Tested the Stealth "Space Bunny Alpha" Model Before It Went Offline
Sep 23, 2026 · YouTube
29:00Grok 4.7: improved, but GLM 5.3 FlashX beat it anyway (benchmark against Gemini, Sol, etc.)
Sep 22, 2026 · YouTube
16:54Stealth Union Alpha: Is this another cheap GPT model? (better than Luna, cheaper than Terra?)
Sep 16, 2026 · YouTube
16:45DeepSeek V4.1 Flash Is Shockingly Good for the Price
Sep 10, 2026 · YouTube
23:58Qwen 3.8 Flash Tested: UI, Coding, Physics & more - compared to Opus 5, Sol Pro, Grok
Aug 27, 2026 · YouTube
30:13DeepSeek V4 Flash Vision: Low Price, but Does It Hallucinate?
Aug 21, 2026 · YouTube
Provider
openrouter
Challenge Version
v1.0
Turns
1
Duration
39.6s
Total Tokens
2,915
Input Tokens
1,645
Output Tokens
1,270
Reasoning Tokens
516
Reasoning Effort
default
Est. Cost
$0.0168
Started
10/6/2026, 2:39:18 PM
OR Provider
OpenAI
Finish Reason
stop
Generation ID
gen-1791297558-ZNfxss9iEEw8Sa1YT3KM
Run attachments
Inputs and files attached to the run itself. Model output is shown with its turn.
Input image
Turns (1)
Turn #1
1,645 in1,270 out516 reasoning2,915 total39.5s
user
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.
assistant
Below are the vehicles I can distinguish, ordered from the clearest identification to the least certain. Prices are rough U.S. used-market estimates in USD, assuming a running vehicle with a clean title, typical mileage, and average condition—not appraisals of the specific vehicles pictured.
| # | Vehicle / location | Make and model | Approximate model years | Approximate average used price | Confidence and identification notes |
|---|---|---|---|---|---|
| 1 | Blue sports car, foreground left | Chevrolet Corvette C4 | 1984–1990 | $12,000; typically $8,000–$18,000 | High. The low wedge-shaped nose, pop-up headlights, Corvette badge, and early-style front bumper identify an early C4. Exact year is uncertain. |
| 2 | Black sedan, center foreground | Ford Focus sedan | 2012–2018 | $6,500; typically $4,000–$9,000 | High for make/model; medium for year range. The Ford emblem, Focus badge, rear lamps, and body shape are visible. The angle does not reliably establish the facelift year. |
| 3 | Dark sedan immediately behind the Focus | Nissan Maxima | 1995–1999 | $3,000; typically $1,500–$5,000 | High. The Maxima badge and rounded rear styling match the fourth-generation model. |
| 4 | White crossover, center-right, facing right | Toyota RAV4 | 2016–2018 | $16,000; typically $12,000–$20,000 | High. The Toyota grille badge, angular headlights, and front bumper match the facelifted fourth-generation RAV4. Trim and drivetrain are not identifiable here. |
| 5 | Larger white SUV behind the RAV4, rear facing the camera | Ford Explorer | 2011–2015 | $10,000; typically $7,000–$14,000 | Medium. The rear-quarter shape, dark rear glass, tailgate trim, and taillights strongly suggest a fifth-generation Explorer. Part of it is obscured. |
| 6 | White full-size van at far right, with a roof rack | Chevrolet Express, likely a passenger or conversion van | Approximately 2003–2015, possibly newer | $10,000; typically $5,000–$17,000 for an older example | Medium for model; low for year. I am guessing the age. The visible grille appears to carry a Chevrolet bowtie, and the front resembles an Express. This design changed little over many years; configuration greatly affects value. |
| 7 | Small dark-blue vehicle fragment at the extreme upper-right, behind the van | Unknown; possibly a pickup or SUV | Not reliably determinable | Not responsibly estimable | Low. Too little is visible to assign a defensible make, model, or price. Calling it a pickup or SUV is a guess. |
Condition caveat: The Corvette appears to have weathered paint, and the Focus may have damage or distortion around its visible rear quarter. Those observations could affect value substantially, but this photograph alone cannot establish repair needs, mechanical condition, mileage, or title status.