Run Detail
completeddeepseek-v4.1-flash-1017Recorded 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
274.9s
Total Tokens
8,646
Input Tokens
913
Output Tokens
7,733
Reasoning Tokens
7,045
Reasoning Effort
default
Est. Cost
$0.0051
Started
10/17/2026, 12:59:19 PM
OR Provider
DeepInfra
Finish Reason
stop
Generation ID
gen-1792241960-SFgHEn3qYpxhUM3yWbzf
Run attachments
Inputs and files attached to the run itself. Model output is shown with its turn.
Input image
Turns (1)
Turn #1
913 in7,733 out7,045 reasoning8,646 total274.9s
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
Assumptions: U.S. used-market ballpark, typical mileage/condition, private-party/retail mix. Prices are broad photo-only estimates, not a condition appraisal. I’m working from the most clearly visible vehicle outward.
| # | Vehicle identification | Approx. year range | Approx. average used price for that type | Confidence | Notes |
|---|---|---|---|---|---|
| 1 | Chevrolet Corvette C4 | 1984–1996; looks like a later 1991–1996 facelift, but I’m guessing on exact year | $8k–$16k typical base C4; ZR-1/convertible higher | High for make/model; medium for year | Very clear front/side view. Teal color and C4 body are distinctive. |
| 2 | Ford Focus sedan | 2012–2018; likely 2015–2018 | $6k–$10k | High | Clear rear/trunk shape and “Focus” badge area. Exact year/trim is a guess. |
| 3 | Nissan Altima sedan | 2007–2012 | $4k–$8k | High for Altima; medium for generation | Dark green/black sedan behind the Focus. Rear shape and badge placement suggest this generation. |
| 4 | Honda CR-V | 2017–2022; possibly 2012–2016 | $16k–$26k for the newer body; older body roughly $12k–$18k | Medium-high | White compact SUV. Taillight/window shape suggests CR-V, but year is not certain from this angle. |
| 5 | Ford Explorer | 2011–2019 | $12k–$22k | Medium | Larger white SUV with roof rails behind the CR-V. I’m fairly sure it’s an Explorer, but could be another mid-size white SUV. |
| 6 | Ford F-Series Super Duty pickup — likely F-250/F-350 | 2011–2016 | $18k–$35k depending on trim/mileage | Medium-low | White work pickup at far right. Grille/bumper shape suggests Super Duty; year and exact model are guesses. |
| 7 | White cutaway box truck / commercial truck with ladder rack | 2005–2019 guess | $8k–$25k | Low | Only upper body/rack visible in the background. Could be a box truck, trailer, or commercial van; I’m guessing. |
| 8 | Orange/red partial vehicle behind the white pickup | Unknown | Not enough info to price | Low | Very partially visible. Likely a truck/van, but I can’t identify it reliably. |
Most confident IDs: Corvette C4, Ford Focus, Nissan Altima. The white SUVs and far-right pickup are reasonable guesses but should be verified with badges/VIN or closer photos.